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  • OTN Architect Day Headed to Reston, VA - May 16

    - by Bob Rhubart
    In 2011 OTN Architect Day made stops in Chicago, Denver, Phoenix, Redwood Shores, and Toronto. The 2012 series begins with OTN Architect Day in Reston, VA on Wednesday May 16. Registration is now open for this free event, but don't get caught napping -- seating is limited, and the event is just 5 weeks away. The information below reflects the most recent updates to the event agenda, including the addition of Oracle ACE Director Kai Yu as the guest keynote speaker. Kai is Senior System Engineer / Architect at Dell, Inc., and has been very busy of late as a speaker at various industry and Oracle User Group events. I'm very happy Kai has agreed to make the trek from his hometown in Austin, TX to share his insight at the Architect Day event in Reston.  If you're in the area, put this one on your calendar. You won't be sorry.   Venue Sheraton Reston Hotel 11810 Sunrise Valley Drive Reston, VA 20191 Event Agenda 8:30 am - 9:00 am Registration and Continental Breakfast 9:00 am - 9:15 am Welcome and Opening Comments 9:15 am - 10:00 am Engineered Systems: Oracle's Vision for the Future | Ralf Dossman Oracle's Exadata and Exalogic are impressive products in their own right. But working in combination they deliver unparalleled transaction processing performance with up to a 30x increase over existing legacy systems, with the lowest cost of ownership over a 3 or 5 year basis than any other hardware. In this session you'll learn how to leverage Oracle's Engineered Systems within your enterprise to deliver record-breaking performance at the lowest TCO. 10:00 am - 10:30 am High Availability Infrastructure for Cloud Computing | Kai Yu Infrastructure high availability is extremely critical to Cloud Computing. In a Cloud system that hosts a large number of databases and applications with different SLAs, any unplanned outage can be devastating, and even a small planned downtime may be unacceptable. This presentation will discuss various technology solutions and the related best practices that system architects should consider in cloud infrastructure design to ensure high availability. 10:30 am - 10:45 am Break 10:45 am - 11:30 am Breakout Sessions: (pick one) Innovations in Grid Computing with Oracle Coherence | Bjorn Boe Learn how Coherence can increase the availability, scalability and performance of your existing applications with its advanced low-latency data-grid technologies. Also hear some interesting industry-specific use cases that customers had implemented and how Oracle is integrating Coherence into its Enterprise Java stack. Cloud Computing - Making IT Simple | Scott Mattoon The road to Cloud Computing is not without a few bumps. This session will help to smooth out your journey by tackling some of the potential complications. We'll examine whether standardization is a prerequisite for the Cloud. We'll look at why refactoring isn't just for application code. We'll check out deployable entities and their simplification via higher levels of abstraction. And we'll close out the session with a look at engineered systems and modular clouds. 11:30 pm - 12:15 pm Breakout Sessions: (pick one) Oracle Enterprise Manager | Joe Diemer Oracle Enterprise Manager (EM) provides complete lifecycle management for the cloud - from automated cloud setup to self-service delivery to cloud operations. In this session you'll learn how to take control of your cloud infrastructure with EM features including Consolidation Planning and Self-Service provisioning with Metering and Chargeback. Come hear how Oracle is expanding its management capabilities into the cloud! Rationalization and Defense in Depth - Two Steps Closer to the Clouds | Dave Chappelle Security represents one of the biggest concerns about cloud computing. In this session we'll get past the FUD with a real-world look at some key issues. We'll discuss the infrastructure necessary to support rationalization and security services, explore architecture for defense -in-depth, and deal frankly with the good, the bad, and the ugly in Cloud security. 12:15 pm - 1:15 pm Lunch 1:40 pm - 2:00 pm Panel Discussion - Q&A 2:00 pm - 2:45 pm Breakout Sessions: (pick one) 21st Century SOA | Peter Belknap Service Oriented Architecture has evolved from concept to reality in the last decade. The right methodology coupled with mature SOA technologies has helped customers demonstrate success in both innovation and ROI. In this session you will learn how Oracle SOA Suite's orchestration, virtualization, and governance capabilities provide the infrastructure to run mission critical business and system applications. And we'll take a special look at the convergence of SOA & BPM using Oracle's Unified technology stack. Track B: Oracle Cloud Reference Architecture | Anbu Krishnaswamy Cloud initiatives are beginning to dominate enterprise IT roadmaps. Successful adoption of Cloud and the subsequent governance challenges warrant a Cloud reference architecture that is applied consistently across the enterprise. This presentation gives an overview of Oracle's Cloud Reference Architecture, which is part of the Cloud Enterprise Technology Strategy (ETS). Concepts covered include common management layer capabilities, service models, resource pools, and use cases. 2:45 pm - 3:00 pm Break 3:00 pm - 4:00 pm Roundtable Discussions 4:00 pm - 4:15 pm Closing Comments & Readouts from Roundtable 4:15 pm - 5:00 pm Cocktail Reception / Networking Session schedule and content subject to change.

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  • Why lock-free data structures just aren't lock-free enough

    - by Alex.Davies
    Today's post will explore why the current ways to communicate between threads don't scale, and show you a possible way to build scalable parallel programming on top of shared memory. The problem with shared memory Soon, we will have dozens, hundreds and then millions of cores in our computers. It's inevitable, because individual cores just can't get much faster. At some point, that's going to mean that we have to rethink our architecture entirely, as millions of cores can't all access a shared memory space efficiently. But millions of cores are still a long way off, and in the meantime we'll see machines with dozens of cores, struggling with shared memory. Alex's tip: The best way for an application to make use of that increasing parallel power is to use a concurrency model like actors, that deals with synchronisation issues for you. Then, the maintainer of the actors framework can find the most efficient way to coordinate access to shared memory to allow your actors to pass messages to each other efficiently. At the moment, NAct uses the .NET thread pool and a few locks to marshal messages. It works well on dual and quad core machines, but it won't scale to more cores. Every time we use a lock, our core performs an atomic memory operation (eg. CAS) on a cell of memory representing the lock, so it's sure that no other core can possibly have that lock. This is very fast when the lock isn't contended, but we need to notify all the other cores, in case they held the cell of memory in a cache. As the number of cores increases, the total cost of a lock increases linearly. A lot of work has been done on "lock-free" data structures, which avoid locks by using atomic memory operations directly. These give fairly dramatic performance improvements, particularly on systems with a few (2 to 4) cores. The .NET 4 concurrent collections in System.Collections.Concurrent are mostly lock-free. However, lock-free data structures still don't scale indefinitely, because any use of an atomic memory operation still involves every core in the system. A sync-free data structure Some concurrent data structures are possible to write in a completely synchronization-free way, without using any atomic memory operations. One useful example is a single producer, single consumer (SPSC) queue. It's easy to write a sync-free fixed size SPSC queue using a circular buffer*. Slightly trickier is a queue that grows as needed. You can use a linked list to represent the queue, but if you leave the nodes to be garbage collected once you're done with them, the GC will need to involve all the cores in collecting the finished nodes. Instead, I've implemented a proof of concept inspired by this intel article which reuses the nodes by putting them in a second queue to send back to the producer. * In all these cases, you need to use memory barriers correctly, but these are local to a core, so don't have the same scalability problems as atomic memory operations. Performance tests I tried benchmarking my SPSC queue against the .NET ConcurrentQueue, and against a standard Queue protected by locks. In some ways, this isn't a fair comparison, because both of these support multiple producers and multiple consumers, but I'll come to that later. I started on my dual-core laptop, running a simple test that had one thread producing 64 bit integers, and another consuming them, to measure the pure overhead of the queue. So, nothing very interesting here. Both concurrent collections perform better than the lock-based one as expected, but there's not a lot to choose between the ConcurrentQueue and my SPSC queue. I was a little disappointed, but then, the .NET Framework team spent a lot longer optimising it than I did. So I dug out a more powerful machine that Red Gate's DBA tools team had been using for testing. It is a 6 core Intel i7 machine with hyperthreading, adding up to 12 logical cores. Now the results get more interesting. As I increased the number of producer-consumer pairs to 6 (to saturate all 12 logical cores), the locking approach was slow, and got even slower, as you'd expect. What I didn't expect to be so clear was the drop-off in performance of the lock-free ConcurrentQueue. I could see the machine only using about 20% of available CPU cycles when it should have been saturated. My interpretation is that as all the cores used atomic memory operations to safely access the queue, they ended up spending most of the time notifying each other about cache lines that need invalidating. The sync-free approach scaled perfectly, despite still working via shared memory, which after all, should still be a bottleneck. I can't quite believe that the results are so clear, so if you can think of any other effects that might cause them, please comment! Obviously, this benchmark isn't realistic because we're only measuring the overhead of the queue. Any real workload, even on a machine with 12 cores, would dwarf the overhead, and there'd be no point worrying about this effect. But would that be true on a machine with 100 cores? Still to be solved. The trouble is, you can't build many concurrent algorithms using only an SPSC queue to communicate. In particular, I can't see a way to build something as general purpose as actors on top of just SPSC queues. Fundamentally, an actor needs to be able to receive messages from multiple other actors, which seems to need an MPSC queue. I've been thinking about ways to build a sync-free MPSC queue out of multiple SPSC queues and some kind of sign-up mechanism. Hopefully I'll have something to tell you about soon, but leave a comment if you have any ideas.

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  • ACORD LOMA Session Highlights Policy Administration Trends

    - by [email protected]
    Helen Pitts, senior product marketing manager for Oracle Insurance, attended and is blogging from the ACORD LOMA Insurance Forum this week. Above: Paul Vancheri, Chief Information Officer, Fidelity Investments Life Insurance Company. Vancheri gave a presentation during the ACORD LOMA Insurance Systems Forum about the key elements of modern policy administration systems and how insurers can mitigate risk during legacy system migrations to safely introduce new technologies. When I had a few particularly challenging honors courses in college my father, a long-time technology industry veteran, used to say, "If you don't know how to do something go ask the experts. Find someone who has been there and done that, don't be afraid to ask the tough questions, and apply and build upon what you learn." (Actually he still offers this same advice today.) That's probably why my favorite sessions at industry events, like the ACORD LOMA Insurance Forum this week, are those that include insight on industry trends and case studies from carriers who share their experiences and offer best practices based upon their own lessons learned. I had the opportunity to attend a particularly insightful session Wednesday as Craig Weber, senior vice president of Celent's Insurance practice, and Paul Vancheri, CIO of Fidelity Life Investments, presented, "Managing the Dynamic Insurance Landscape: Enabling Growth and Profitability with a Modern Policy Administration System." Policy Administration Trends Growing the business is the top issue when it comes to IT among both life and annuity and property and casualty carriers according to Weber. To drive growth and capture market share from competitors, carriers are looking to modernize their core insurance systems, with 65 percent of those CIOs participating in recent Celent research citing plans to replace their policy administration systems. Weber noted that there has been continued focus and investment, particularly in the last three years, by software and technology vendors to offer modern, rules-based, configurable policy administration solutions. He added that these solutions are continuing to evolve with the ongoing aim of helping carriers rapidly meet shifting business needs--whether it is to launch new products to market faster than the competition, adapt existing products to meet shifting consumer and /or regulatory demands, or to exit unprofitable markets. He closed by noting the top four trends for policy administration either in the process of being adopted today or on the not-so-distant horizon for the future: Underwriting and service desktops New business automation Convergence of ultra-configurable and domain content-rich systems Better usability and screen design Mitigating the Risk When Making the Decision to Modernize Third-party analyst research from advisory firms like Celent was a key part of the due diligence process for Fidelity as it sought a replacement for its legacy policy administration system back in 2005, according to Vancheri. The company's business opportunities were outrunning system capability. Its legacy system had not been upgraded in several years and was deficient from a functionality and currency standpoint. This was constraining the carrier's ability to rapidly configure and bring new and complex products to market. The company sought a new, modern policy administration system, one that would enable it to keep pace with rapid and often unexpected industry changes and ahead of the competition. A cross-functional team that included representatives from finance, actuarial, operations, client services and IT conducted an extensive selection process. This process included deep documentation review, pilot evaluations, demonstrations of required functionality and complex problem-solving, infrastructure integration capability, and the ability to meet the company's desired cost model. The company ultimately selected an adaptive policy administration system that met its requirements to: Deliver ease of use - eliminating paper and rework, while easing the burden on representatives to sell and service annuities Provide customer parity - offering Web-based capabilities in alignment with the company's focus on delivering a consistent customer experience across its business Deliver scalability, efficiency - enabling automation, while simplifying and standardizing systems across its technology stack Offer desired functionality - supporting Fidelity's product configuration / rules management philosophy, focus on customer service and technology upgrade requirements Meet cost requirements - including implementation, professional services and licenses fees and ongoing maintenance Deliver upon business requirements - enabling the ability to drive time to market for new products and flexibility to make changes Best Practices for Addressing Implementation Challenges Based upon lessons learned during the company's implementation, Vancheri advised carriers to evaluate staffing capabilities and cultural impacts, review business requirements to avoid rebuilding legacy processes, factor in dependent systems, and review policies and practices to secure customer data. His formula for success: upfront planning + clear requirements = precision execution. Achieving a Return on Investment Vancheri said the decision to replace their legacy policy administration system and deploy a modern, rules-based system--before the economic downturn occurred--has been integral in helping the company adapt to shifting market conditions, while enabling growth in its direct channel sales of variable annuities. Since deploying its new policy admin system, the company has reduced its average time to market for new products from 12-15 months to 4.5 months. The company has since migrated its other products to the new system and retired its legacy system, significantly decreasing its overall product development cycle. From a processing standpoint Vancheri noted the company has achieved gains in automation, information, and ease of use, resulting in improved real-time data edits, controls for better quality, and tax handling capability. Plus, with by having only one platform to manage, the company has simplified its IT environment and is well positioned to deliver system enhancements for greater efficiencies. Commitment to Continuing the Investment In the short and longer term future Vancheri said the company plans to enhance business functionality to support money movement, wire automation, divorce processing on payout contracts and cost-based tracking improvements. It also plans to continue system upgrades to remain current as well as focus on further reducing cycle time, driving down maintenance costs, and integrating with other products. Helen Pitts is senior product marketing manager for Oracle Insurance focused on life/annuities and enterprise document automation.

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  • Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the Cloud in the Big Data Story. In this article we will understand the role of Operational Databases Supporting Big Data Story. Even though we keep on talking about Big Data architecture, it is extremely crucial to understand that Big Data system can’t just exist in the isolation of itself. There are many needs of the business can only be fully filled with the help of the operational databases. Just having a system which can analysis big data may not solve every single data problem. Real World Example Think about this way, you are using Facebook and you have just updated your information about the current relationship status. In the next few seconds the same information is also reflected in the timeline of your partner as well as a few of the immediate friends. After a while you will notice that the same information is now also available to your remote friends. Later on when someone searches for all the relationship changes with their friends your change of the relationship will also show up in the same list. Now here is the question – do you think Big Data architecture is doing every single of these changes? Do you think that the immediate reflection of your relationship changes with your family member is also because of the technology used in Big Data. Actually the answer is Facebook uses MySQL to do various updates in the timeline as well as various events we do on their homepage. It is really difficult to part from the operational databases in any real world business. Now we will see a few of the examples of the operational databases. Relational Databases (This blog post) NoSQL Databases (This blog post) Key-Value Pair Databases (Tomorrow’s post) Document Databases (Tomorrow’s post) Columnar Databases (The Day After’s post) Graph Databases (The Day After’s post) Spatial Databases (The Day After’s post) Relational Databases We have earlier discussed about the RDBMS role in the Big Data’s story in detail so we will not cover it extensively over here. Relational Database is pretty much everywhere in most of the businesses which are here for many years. The importance and existence of the relational database are always going to be there as long as there are meaningful structured data around. There are many different kinds of relational databases for example Oracle, SQL Server, MySQL and many others. If you are looking for Open Source and widely accepted database, I suggest to try MySQL as that has been very popular in the last few years. I also suggest you to try out PostgreSQL as well. Besides many other essential qualities PostgreeSQL have very interesting licensing policies. PostgreSQL licenses allow modifications and distribution of the application in open or closed (source) form. One can make any modifications and can keep it private as well as well contribute to the community. I believe this one quality makes it much more interesting to use as well it will play very important role in future. Nonrelational Databases (NOSQL) We have also covered Nonrelational Dabases in earlier blog posts. NoSQL actually stands for Not Only SQL Databases. There are plenty of NoSQL databases out in the market and selecting the right one is always very challenging. Here are few of the properties which are very essential to consider when selecting the right NoSQL database for operational purpose. Data and Query Model Persistence of Data and Design Eventual Consistency Scalability Though above all of the properties are interesting to have in any NoSQL database but the one which most attracts to me is Eventual Consistency. Eventual Consistency RDBMS uses ACID (Atomicity, Consistency, Isolation, Durability) as a key mechanism for ensuring the data consistency, whereas NonRelational DBMS uses BASE for the same purpose. Base stands for Basically Available, Soft state and Eventual consistency. Eventual consistency is widely deployed in distributed systems. It is a consistency model used in distributed computing which expects unexpected often. In large distributed system, there are always various nodes joining and various nodes being removed as they are often using commodity servers. This happens either intentionally or accidentally. Even though one or more nodes are down, it is expected that entire system still functions normally. Applications should be able to do various updates as well as retrieval of the data successfully without any issue. Additionally, this also means that system is expected to return the same updated data anytime from all the functioning nodes. Irrespective of when any node is joining the system, if it is marked to hold some data it should contain the same updated data eventually. As per Wikipedia - Eventual consistency is a consistency model used in distributed computing that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value. In other words -  Informally, if no additional updates are made to a given data item, all reads to that item will eventually return the same value. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Identity R2 - Experts Podcast Series

    - by Tanu Sood
    To follow up on the Identity Management R2 launch, a series of podcasts were recorded with subject matter experts from customer organizations, our partners and Oracle’s PM team to discuss key trends, R2 capabilities, implementation best practices and more. Below is a roll-up of the podcast series that is available on Fusion Middleware radio. R2 Podcasts:   ·         Designing the Next-Generation Identity Platform Vadim Lander, Oracle Highlights: Common architecture model, integration, interoperability and the driving factors behind R2 innovation IT Departments are shifting their Identity Management strategy to be able to support mobile, cloud and social applications. Oracle has anticipated this shift and has built a product roadmap to take advantage of this focus. Join Vadim as he discusses the design strategy behind the latest 11gR2 release and talks about how IDM services have to evolve to meet this new challenge.   ·         BETA Customer Perspective on R2 Ravi Meduri, Kaiser Permanente Highlights: R2 scalability and high availability In this podcast Ravi discusses the new features in 11gR2 that he is most interested in, including High Availability options for Access Management, multi-datacenter architecture, and what it was like working with the Oracle product team during the BETA program.   ·         Partner Perspective on R2 Rex Thexton, PricewaterhouseCoopers Highlights: Usability Enhancements for Users and Administrators A lot of new usability features went into the 11gR2 release making this the most business friendly IDM release to date. In this podcast Rex Thexton, Managing Director from PwC, talks about some of the new UI changes for both end users and administrators, and also about the new connector creation framework.   Access Request Updates in R2 Marc Boroditsky, Oracle Highlights: Access request User Interface innovations A lot of changes have been made to the Access Request user interface in the latest version of Oracle Identity Manager 11gR2. A real focus has been put on making the request process more business user friendly, and a lot of new customization capability has been added for the IT administrators. Hear Marc discuss the updated UI, and explain how administrators will be able to customize OIM to meet their company's requirements   ·         Oracle Optimized System for Oracle Unified Directory (OOS4OUD) Nick Kloski, Oracle Highlights: New Optimized System configuration for Unified Directory One of the new features in 11gR2 is the availability of an Optimized System configuration for Oracle Unified Directory. Oracle engineers installed the OUD software onto off the shelf hardware and then created a performance tuned configuration. Join us as we talk to Nick Kloski, Infrastructure Solutions Manager, all about the testing process and the resulting performance metrics.   Privileged Account Management Mark Wilcox, Oracle Highlights: Oracle Privileged Account Manager key capabilities, use cases The new release of Oracle Identity Management 11g R2 includes the capability to manage privileged accounts. Privileged accounts, if compromised, create a risk for fraud in the enterprise and as a result controlling access to privileged accounts is critical. Hear what Mark Wilcox, Principal Product Manager of Oracle Privileged Account Manager has to say about the capabilities of the offering in this podcast.   ·         Browser-based User Interface (UI) Customization Clayton Donley, Oracle Highlights: Benefits of Durable UI Configuration framework Business users need user interfaces that are not only friendly but also easily customizable. However the downside of any customization project is the cost and complexity involved in developing, testing, deploying and managing custom code. In this podcast, we examine how a new capability in Oracle Identity Management around browser based UI customization can reduce costs and complexity of customization while simplifying self service integration with corporate portal strategies.   ·         Simplifying Mobile and Social Sign-On Dan Killmer, Oracle Highlights: Secure mobile sign-on and consumption of social identities with Oracle Access Management The proliferation of mobile devices has spurred a new trend where employees tend to bring their own mobile devices to work and access corporate applications the same way they would access from a desktop or laptop. In this podcast, we examine how Oracle's latest innovation in Identity Management around Mobile and Social Sign On can simplify security and access management challenges posed by the widespread adoption of mobile devices in the enterprise. ·         Enabling Your Business with IDM R2 Scott Bonnell, Oracle Highlights: Self service, mobile access, personalization Gone are the days when Identity Management was just about stopping unauthorized users in their tracks. Identity Management if done right, can also enable your business. Join Scott Bonnell as he discusses how the IDM 11gR2 release enables the enterprise by providing self service, personalization and mobile access to corporate resources.

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  • SSAS Maestro Training in July 2012 #ssasmaestro #ssas

    - by Marco Russo (SQLBI)
    A few hours ago Chris Webb blogged about SSAS Maestro and I’d like to propagate the news, adding also some background info. SSAS Maestro is the premier certification on Analysis Services that selects the best experts in Analysis Services around the world. In 2011 Microsoft organized two rounds of training/exams for SSAS Maestros and up to now only 11 people from the first wave have been announced – around 10% of attendees of the course! In the next few days the new Maestros from the second round should be announced and this long process is caused by many factors that I’m going to explain. First, the course is just a step in the process. Before the course you receive a list of topics to study, including the slides of the course. During the course, students receive a lot of information that might not have been included in the slides and the best part of the course is class interaction. Students are expected to bring their experience to the table and comparing case studies, experiences and having long debates is an important part of the learning process. And it is also a part of the evaluation: good questions might be also more important than good answers! Finally, after the course, students have their homework and this may require one or two months to be completed. After that, a long (very long) evaluation process begins, taking into account homework, labs, participation… And for this reason the final evaluation may arrive months later after the course. We are going to improve and shorten this process with the next courses. The first wave of SSAS Maestro had been made by invitation only and now the program is opening, requiring a fee to participate in order to cover the cost of preparation, training and exam. The number of attendees will be limited and candidates will have to send their CV in order to be admitted to the course. Only experienced Analysis Services developers will be able to participate to this challenging program. So why you should do that? Well, only 10% of students passed the exam until now. So if you need 100% guarantee to pass the exam, you need to study a lot, before, during and after the course. But the course by itself is a precious opportunity to share experience, create networking and learn mission-critical enterprise-level best practices that it’s hard to find written on books. Oh, well, many existing white papers are a required reading *before* the course! The course is now 5 days long, and every day can be *very* long. We’ll have lectures and discussions in the morning and labs in the afternoon/evening. Plus some more lectures in one or two afternoons. A heavy part of the course is about performance optimization, capacity planning, monitoring. This edition will introduce also Tabular models, and don’t expect something you might find in the SSAS Tabular Workshop – only performance, scalability monitoring and optimization will be covered, knowing Analysis Services is a requirement just to be accepted! I and Chris Webb will be the teachers for this edition. The course is expensive. Applying for SSAS Maestro will cost around 7000€ plus taxes (reduced to 5000€ for students of a previous SSAS Maestro edition). And you will be locked in a training room for the large part of the week. So why you should do that? Well, as I said, this is a challenging course. You will not find the time to check your email – the content is just too much interesting to think you can be distracted by something else. Another good reason is that this course will take place in Italy. Well, the course will take place in the brand new Microsoft Innovation Campus, but in general we’ll be able to provide you hints to get great food and, if you are willing to attach one week-end to your trip, there are plenty of places to visit (and I’m not talking about the classic Rome-Florence-Venice) – you might really need to relax after such a week! Finally, the marking process after the course will be faster – we’d like to complete the evaluation within three months after the course, considering that 1-2 months might be required to complete the homework. If at this point you are not scared: registration will open in mid-April, but you can already write to [email protected] sending your CV/resume and a short description of your level of SSAS knowledge and experience. The selection process will start early and you may want to put your admission form on top of the FIFO queue!

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  • Microsoft TechEd 2010 - Day 2 @ Bangalore

    - by sathya
    Microsoft TechEd 2010 - Day 2 @ Bangalore Today is the day 2 @ Microsoft TechEd 2010. We had lot of technical sessions as usual there were many tracks going on side by side and I was attending the Web simplified track, Which comprised of the following sessions :   Developing a scalable Media Application using ASP.NET MVC - This was a kind of little advanced stuff. Anyways I couldn't understand much because this was not my piece of cake and I havent worked on this before ASP.Net MVC Unplugged - This was really great because this session covered from the basics of MVC showing what is Model,View and Controller and how it worked and the speaker went into the details of the same. Building RESTful Applications with the Open Data Protocol - There were some concepts explained about this from the basics on how to build RESTful Services and it went on till some advanced configurations of the same. Developing Scalable Web Applications with AppFabric Caching - This session showed about the integration of AppFabric with the .Net Web Applications. Instead of using Inproc Sessions, we can use this AppFabric as a substitute for Caching and outofProc Session Storage without writing code and doing a little bit of configurations which brings in High Scalability, performance to our applications. (But unfortunately there were no demos for this session ) Deep Dive : WCF RIA Services - This session was also an interactive one, in this the speaker presented from the basics of WCF and took a Book Store Application as a sample and explained all details concepts on linking with RIA Services   Apart from these sessions, in between there happened some small events in the breaks like Some discussions about Technology, Innovations Music Jokes Mimicry, etc. And on doing all these things, the developers were given some kool gifts / goodies like USBs, T-Shirts, etc. And today I got a chance to do the following certification : (70-562) Microsoft Certified Technology Specialist in .NET 3.5 Web Applications Since I already have an MCTS in .NET 2.0, I wanted to do an MCPD and for doing the same I was required to do an update to my MCTS with the .NET 3.5 framework and I did the same I cleared it and now am an MCTS in .NET 3.5 Web Apps And on doing this I got a T-Shirt and they gave something called Learning $ of worth 30$. And in various stalls for attending each quiz or some game or some referrals we got some Learning $ which we can redeem later based on our Total Learning $. I got 105 $ which i was able to redeem and got a Microsoft Learning BagPack, 1 free Microsoft certification offer, a laptop light and an e-learning content activated. And after all these sessions and small events, we had something called Demo Extravaganza like I mentioned yesterday. This was a great funfilled event with lot of goodies for the attendees. There were some lucky draw which enabled 2 attendees to get Netbooks (Sponsored by Intel) and 1 attendee to get X-box (Sponsored by Citrix). After Choosing the raffle in the lucky draw they kept it on a device called Microsoft Surface which is a kind of big touch screen device and on putting the raffle on that it detected the code of the attendee and said intelligently how many sessions that person has attended and if he has attended more than 5 he got a Netbook and this was coded by a guy called Imran. Apart from they showed demos on : Research by 2 Tamilnadu students from Krishna Arts and Science college, taken 1200 photographs of their college from different angles and put that up in Bing maps using silverlight and linked with Photosynth, which showed a 3d view of their college based on the photos they uploaded Reasearch by Microsoft on Panaramic HD views of the images. One young guy from Microsoft Research showed a demo of this on Srivilliputhur Andal Temple, in Tamil Nadu and its history with a panoramic view of the temple and the near by places with narration of the historical information on the same and with the videos embedded in it with high definition images which we can zoom to a very detailed level. Some Demo on a business app with Silverlight, Business Intelligence (BI) and maps integrated. It showed the sales of a particular product across locations. Some kool demos by 2 geeks who used Robots to show their development talents. 2 Robots fought with each other 2 Robots danced in sync for the A.R. Rehman song Humma Humma... A dream home project by Raman. He is currently using the same in his home too. Robots are controlling his home currently. They showed a video on this. Here are the list of activities that Robot does for him When he reads a book, robot automatically scans that and shows that image of that person in the screen (TV or comp) in front of him. It shows a wikipedia about that person. It says that person is not in linked in. do you want to add him If he sees an IPL Match news in the book and smiles it understands he is interested in that and opens a website related to that and shows the current game and the scorecard. It cooks for him It cleans the room for him whenever he leaves the house when he is doing something if some intruder comes inside his house his computer automatically switches his screen showing the video of the person coming inside. When he wakes up it automatically opens up the system, loads his mails and the news by the side, etc. Some Demos on Microsoft Pivot. This was there in livelabs but it is now available in getpivot.com its a pivoting of the pictorial data based on some categories and filters on the searches that we do. And finally on filling up some feedback forms we got T-Shirts and Microsoft Visual Studio 2010 Training Kit CDs. Whats more on TechEd??? Stay tuned!!! Will update you soon on the other happenings!! PS : I typed a lot of content for more than a hour but I pressed a backspace and it went to the previous page and all my content were lost and I was not able to retrieve the same and I typed everything again.

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  • IBM Keynote: (hardware,software)–>{IBM.java.patterns}

    - by Janice J. Heiss
    On Sunday evening, September 30, 2012, Jason McGee, IBM Distinguished Engineer and Chief Architect Cloud Computing, along with John Duimovich IBM Distinguished Engineer and Java CTO, gave an information- and idea-rich keynote that left Java developers with much to ponder.Their focus was on the challenges to make Java more efficient and productive given the hardware and software environments of 2012. “One idea that is very interesting is the idea of multi-tenancy,” said McGee, “and how we can move up the spectrum. In traditional systems, we ran applications on dedicated middleware, operating systems and hardware. A lot of customers still run that way. Now people introduce hardware virtualization and share the hardware. That is good but there is a lot more we can do. We can share middleware and the application itself.” McGee challenged developers to better enable the Java language to function in these higher density models. He spoke about the need to describe patterns that help us grasp the full environment that an application needs, whether it’s a web or full enterprise application. Developers need to understand the resources that an application interacts with in a way that is simple and straightforward. The task is to then automate that deployment so that the complexity of infrastructure can be by-passed and developers can live in a simpler world where the cloud can automatically configure the needed environment. McGee argued that the key, something IBM has been working on, is to use a simpler pattern that allows a cloud-based architecture to embrace the entire infrastructure required for an application and make it highly available, scalable and able to recover from failure. The cloud-based architecture would automate the complexity of setting up and managing the infrastructure. IBM has been trying to realize this vision for customers so they can describe their Java application environment simply and allow the cloud to automate the deployment and management of applications. “The point,” explained McGee, “is to package the executable used to describe applications, to drop it into a shared system and let that system provide some intelligence about how to deploy and manage those applications.”John Duimovich on Improvements in JavaMcGee then brought onstage IBM’s Distinguished Engineer and CTO for Java, John Duimovich, who showed the audience ways to deploy Java applications more efficiently.Duimovich explained that, “When you run lots of copies of Java in the cloud or any hypervisor virtualized system, there are a lot of duplications of code and jar files. IBM has a facility called ‘shared classes’ where we put shared code, read only artefacts in a cache that is sharable across hypervisors.” By putting JIT code in ahead of time, he explained that the application server will use 20% less memory and operate 30% faster.  He described another example of how the JVM allows for the maximum amount of sharing that manages the tenants and file sockets and memory use through throttling and control. Duimovich touched on the “thin is in” model and IBM’s Liberty Profile and lightweight runtime for the cloud, which allows for greater efficiency in interacting with the cloud.Duimovich discussed the confusion Java developers experience when, for example, the hypervisor tells them that that they have 8 and then 4 and then 16 cores. “Because hypervisors are virtualized, they can change based on resource needs across the hypervisor layer. You may have 10 instances of an operation system and you may need to reallocate memory, " explained Duimovich.  He showed how to resize LPARs, reallocate CPUs and migrate applications as needed. He explained how application servers can resize thread pools and better use resources based on information from the hypervisors.Java Challenges in Hardware and SoftwareMcGee ended the keynote with a summary of upcoming hardware and software challenges for the Java platform. He noted that one reason developers love Java is it allows them to ignore differences in hardware. He stated that the most important things happening in hardware were in network and storage – in developments such as the speed of SSD, the exploitation of high-speed, low-latency networking, and recent developments such as storage-class memory, and non-volatile main memory. “So we are challenged to maintain the benefits of Java and the abstraction it provides from hardware while still exploiting the new innovations in hardware,” said McGee.McGee discussed transactional messaging applications where developers send messages transactionally persist a message to storage, something traditionally done by backing messages on spinning disks, something mostly outdated. “Now,” he pointed out, “we would use SSD and store it in Flash and get 70,000 messages a second. If we stored it using a PCI express-based flash memory device, it is still Flash but put on a PCI express bus on a card closer to the CPU. This way I get 300,000 messages a second and 25% improvement in latency.” McGee’s central point was that hardware has a huge impact on the performance and scalability of applications. New technologies are enabling developers to build classes of Java applications previously unheard of. “We need to be able to balance these things in Java – we need to maintain the abstraction but also be able to exploit the evolution of hardware technology,” said McGee. According to McGee, IBM's current focus is on systems wherein hardware and software are shipped together in what are called Expert Integrated Systems – systems that are pre-optimized, and pre-integrated together. McGee closed IBM’s engaging and thought-provoking keynote by pointing out that the use of Java in complex applications is increasingly being augmented by a host of other languages with strong communities around them – JavaScript, JRuby, Scala, Python and so forth. Java developers now must understand the strengths and weaknesses of such newcomers as applications increasingly involve a complex interconnection of languages.

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  • Java EE at JavaOne - A Few Picks from a Very Rich Line-up

    - by Janice J. Heiss
    A rich and diverse set of sessions cast a spotlight on Java EE at this year’s JavaOne, ranging from the popular Web Framework Smackdown, to Java EE 6 and Spring, to sessions exploring Java EE 7, and one on the implications of HTML5. Some of the world’s best EE architects and developers will be sharing their insight and expertise. If only I could be at ten places at once!BOF4149 - Web Framework Smackdown 2012    Markus Eisele - Principal IT Architect, msg systems ag    Graeme Rocher - Senior Staff Engineer, VMware    James Ward - Developer Evangelist, Heroku    Ed Burns - Consulting Member of Technical Staff, Oracle    Santiago Pericasgeertsen - Software Engineer, Oracle* Monday, Oct 1, 8:30 PM - 9:15 PM - Parc 55 - Cyril Magnin II/III Much has changed since the first Web framework smackdown, at JavaOne 2005. Or has it? The 2012 edition of this popular panel discussion surveys the current landscape of Web UI frameworks for the Java platform. The 2005 edition featured JSF, Webwork, Struts, Tapestry, and Wicket. The 2012 edition features representatives of the current crop of frameworks, with a special emphasis on frameworks that leverage HTML5 and thin-server architecture. Java Champion Markus Eisele leads the lively discussion with panelists James Ward (Play), Graeme Rocher (Grails), Edward Burns (JSF) and Santiago Pericasgeertsen (Avatar).CON6430 - Java EE and Spring Framework Panel Discussion    Richard Hightower - Developer, InfoQ    Bert Ertman - Fellow, Luminis    Gordon Dickens - Technical Architect, IT101, Inc.    Chris Beams - Senior Technical Staff, VMware    Arun Gupta - Technology Evangelist, Oracle* Tuesday, Oct 2, 10:00 AM - 11:00 AM - Parc 55 - Cyril Magnin II/III In the age of Java EE 6 and Spring 3, enterprise Java developers have many architectural choices, including Java EE 6 and Spring, but which one is right for your project? Many of us have heard the debate and seen the flame wars—it’s a topic with passionate community members, and it’s a vibrant debate. If you are looking for some level-headed discussion, grounded in real experience, by developers who have tried both, then come join this discussion. InfoQ’s Java editors moderate the discussion, and they are joined by independent consultants and representatives from both Java EE and VMWare/SpringSource.BOF4213 - Meet the Java EE 7 Specification Leads   Linda Demichiel - Consulting Member of Technical Staff, Oracle   Bill Shannon - Architect, Oracle* Tuesday, Oct 2, 5:30 PM - 6:15 PM – Parc 55 - Cyril Magnin II/III This is your chance to meet face-to-face with the engineers who are developing the next version of the Java EE platform. In this session, the specification leads for the leading technologies that are part of the Java EE 7 platform discuss new and upcoming features and answer your questions. Come prepared with your questions, your feedback, and your suggestions for new features in Java EE 7 and beyond.CON10656 - JavaEE.Next(): Java EE 7, 8, and Beyond    Ian Robinson - IBM Distinguished Engineer, IBM    Mark Little - JBoss CTO, NA    Scott Ferguson - Developer, Caucho Technology    Cameron Purdy - VP Development, Oracle*Wednesday, Oct 3, 4:30 PM - 5:30 PM - Parc 55 - Cyril Magnin II/IIIIn this session, hear from a distinguished panel of industry and open source luminaries regarding where they believe the Java EE community is headed, starting with Java EE 7. The focus of Java EE 7 and 8 is mostly on the cloud, specifically aiming to bring platform as a service (PaaS) providers and application developers together so that portable applications can be deployed on any cloud infrastructure and reap all its benefits in terms of scalability, elasticity, multitenancy, and so on. Most importantly, Java EE will leverage the modularization work in the underlying Java SE platform. Java EE will, of course, also update itself for trends such as HTML5, caching, NoSQL, ployglot programming, map/reduce, JSON, REST, and improvements to existing core APIs.CON7001 - HTML5 WebSocket and Java    Danny Coward - Java, Oracle*Wednesday, Oct 3, 4:30 PM - 5:30 PM - Parc 55 - Cyril Magnin IThe family of HTML5 technologies has pushed the pendulum away from rich client technologies and toward ever-more-capable Web clients running on today’s browsers. In particular, WebSocket brings new opportunities for efficient peer-to-peer communication, providing the basis for a new generation of interactive and “live” Web applications. This session examines the efforts under way to support WebSocket in the Java programming model, from its base-level integration in the Java Servlet and Java EE containers to a new, easy-to-use API and toolset that are destined to become part of the standard Java platform.

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  • Architect Day: Boston - Agenda Update

    - by Bob Rhubart
    Here's the latest information on the session schedule and content for Oracle Technology Network Architect Day in Boston, MA on September 12, 2012. Registration is open, but seating is limited. When: September 12, 2012 8:30am – 5:00pm Where: Boston Marriott Burlington One Burlington Mall Road Burlington, MA 01803 Register now Agenda Time Session Title Room 8:30 am - 9:00 am Registration and Continental Breakfast Salon E Foyer 9:00 am - 9:15 am Welcome and Opening Comments | Bob Rhubart Salon E 9:15 am - 10:00 am Engineered Systems: Oracle's Vision for the Future | Ralf Dossmann Oracle's Exadata and Exalogic are impressive products in their own right. But working in combination they deliver unparalleled transaction processing performance with up to a 30x increase over existing legacy systems, with the lowest cost of ownership over a 3 or 5 year basis than any other hardware. In this session you'll learn how to leverage Oracle's Engineered Systems within your enterprise to deliver record-breaking performance at the lowest TCO. Salon E 10:00 am - 10:30 am Securing Public and Private Clouds | Anton Nielsen Long before the term "Cloud Computing" existed, Oracle technologies supported and promoted the concept. Centralized data with remote users has been at the core of these technologies for decades. The public cloud, and extending private clouds to the internet, though, has added security challenges never imagined decades ago. This presentation will examine a real life security breach and introduce architecture, technologies and policies to secure public and private clouds.  Salon E 10:30 am - 10:45 am Break 10:45 am - 11:30 am Breakout Sessions (pick one) Cloud Computing - Making IT Simple | Scott Mattoon The road to Cloud Computing is not without a few bumps. This session will help to smooth out your journey by tackling some of the potential complications. We'll examine whether standardization is a prerequisite for the Cloud. We'll look at why refactoring isn't just for application code. We'll check out deployable entities and their simplification via higher levels of abstraction. And we'll close out the session with a look at engineered systems and modular clouds. Salon E Innovations in Grid Computing with Oracle Coherence | Rob Misek Learn how Coherence can increase the availability, scalability and performance of your existing applications with its advanced low-latency data-grid technologies. Also hear some interesting industry-specific use cases that customers had implemented and how Oracle is integrating Coherence into its Enterprise Java stack. Salon C 11:30 am - 12:15 pm Breakout Sessions (pick one) Enterprise Strategy for Cloud Security | Dave Chappelle Security is high on the list of concerns for many organizations as they evaluate their cloud computing options. This session will examine security in the context of the various forms of cloud computing. We'll consider technical and non-technical aspects of security, and discuss several strategies for cloud computing, from both the consumer and producer perspectives. Salon E Oracle Enterprise Manager | Avi Huber Much more than a DB management tool, Oracle Enterprise Manager provides management and monitoring coverage for the entire Oracle stack, and beyond. This session will concentrate on the middleware management functionality in OEM, starting with Real User Experience monitoring, through AppServer management, and into deep-dive Java diagnostics. We’ll discuss Business Driven Application Management (BDAM) and the benefits of top-down monitoring. Lastly, we’ll demonstrate how to trace a specific user experience problem, through a multitier SOA application, to its root cause, deep in the JVM. Salon C 12:15 pm - 1:15 pm Lunch Salon E Foyer 1:15 pm - 2:00 pm Panel Discussion - Q&A with session speakers Salon E 2:00 pm - 2:45 pm Breakout Sessions (pick one) Oracle Cloud Reference Architecture | Anbu Krishnaswamy Cloud initiatives are beginning to dominate enterprise IT roadmaps. Successful adoption of Cloud and the subsequent governance challenges warrant a Cloud reference architecture that is applied consistently across the enterprise. This presentation will answer the important questions: What exactly is a Cloud, why you need it, what changes it will bring to the enterprise, and what are the key capabilities of a Cloud infrastructure are - using Oracle's Cloud Reference Architecture, which is part of the IT Strategies from Oracle (ITSO) Cloud Enterprise Technology Strategy (ETS). Salon E 21st Century SOA | Peter Belknap Service Oriented Architecture has evolved from concept to reality in the last decade. The right methodology coupled with mature SOA technologies has helped customers demonstrate success in both innovation and ROI. In this session you will learn how Oracle SOA Suite's orchestration, virtualization, and governance capabilities provide the infrastructure to run mission critical business and system applications. And we'll take a special look at the convergence of SOA & BPM using Oracle's Unified technology stack. Salon C 2:45 pm - 3:00 pm Break 3:00 pm - 4:00 pm Roundtable Discussion Salon E 4:00 pm - 4:15 pm Closing Comments & Readouts from Roundtables Salon E 4:15 pm - 5:00 pm Networking / Reception Salon E Foyer Note: Session schedule and content subject to change.

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  • Interview with Ronald Bradford about MySQL Connect

    - by Keith Larson
    Ronald Bradford,  an Oracle ACE Director has been busy working with  database consulting, book writing (EffectiveMySQL) while traveling and speaking around the world in support of MySQL. I was able to take some of his time to get an interview on this thoughts about theMySQL Connect conference. Keith Larson: What where your thoughts when you heard that Oracle was going to provide the community the MySQL Conference ?Ronald Bradford: Oracle has already been providing various different local community events including OTN Tech Days and  MySQL community days. These are great for local regions both in the US and abroad.  In previous years there has been an increase of content at Oracle Open World, however that benefits the Oracle community far more then the MySQL community.  It is good to see that Oracle is realizing the benefit in providing a large scale dedicated event for the MySQL community that includes speakers from the MySQL development teams, invested companies in the ecosystem and other community evangelists.I fully expect a successful event and look forward to hopefully seeing MySQL Connect at the upcoming Brazil and Japan OOW conferences and perhaps an event on the East Coast.Keith Larson: Since you are part of the content committee, what did you think of the submissions that were received during call for papers?Ronald Bradford: There was a large number of quality submissions to the number of available presentation sessions. As with the previous years as a committee member for the annual MySQL conference, there is always a large variety of common cornerstone MySQL features as well as new products and upcoming companies sharing their MySQL experiences. All of the usual major players in the ecosystem will in presenting at MySQL Connect including Facebook, Twitter, Yahoo, Continuent, Percona, Tokutek, Sphinx and Amazon to name a few.  This is ensuring the event will have a large number of quality speakers and a difficult time in choosing what to attend. Keith Larson: What sessions do you look forwarding to attending? Ronald Bradford: As with most quality conferences you can only be in one place at one time, so with multiple tracks per session it is always difficult to decide. The continued work and success with MySQL Cluster, and with a number of sessions I am sure will be popular. The features that interest me the most are around the optimizer, where there are several sessions on new features, and on the importance of backups. There are three presentations in this area to choose from.Keith Larson: Are you going to cover any of the content in your books at your MySQL Connect sessions?Ronald Bradford: I will be giving two presentations at MySQL Connect. The first will include the techniques available for creating better indexes where I will be touching on some aspects of the first Effective MySQL book on Optimizing SQL Statements.  In my second presentation from experiences of managing 500+ AWS MySQL instances, I will be touching on areas including SQL tuning, backup and recovery and scale out with replication.   These are the key topics of the initial books in the Effective MySQL series that focus on performance, scalability and business continuity.  The books however cover a far greater amount of detail then can be presented in a 1 hour session. Keith Larson: What features of MySQL 5.6 do you look forward to the most ?Ronald Bradford: I am very impressed with the optimizer trace feature. The ability to see exposed information is invaluable not just for MySQL 5.6, but to also apply information discerned for optimizing SQL statements in earlier versions of MySQL.  Not everybody understands that it is easy to deploy a MySQL 5.6 slave into an existing topology running an older version if MySQL for evaluation of many new features.  You can use the new mysqlbinlog streaming feature for duplicating master binary logs on an older version with a MySQL 5.6 slave.  The improvements in instrumentation in the Performance Schema are exciting.   However, as with my upcoming Replication Techniques in Depth title, that will be available for sale at MySQL Connect, there are numerous replication features, some long overdue with provide significant management benefits. Crash Save Slaves, Global transaction Identifiers (GTID)  and checksums just to mention a few.Keith Larson: You have been to numerous conferences, what would you recommend for people at the conference? Ronald Bradford: Make the time to meet and introduce yourself to the speakers that cover the topics that most interest you. The MySQL ecosystem has a very strong community.  The relationships you build with presenters, developers and architects in MySQL can be invaluable, however they are created over time. Get to know these people, interact with them over time.  This is the opportunity to learn more then just the content from a 1 hour session. Keith Larson: Any additional tips to handling the long hours ? Ronald Bradford: Conferences can be hard, especially with all the post event drinking.  This is a two day event and I am sure will include additional events on Friday and Saturday night so come well prepared, and leave work behind. Take the time to learn something new.   You can always catchup on sleep later. Keith Larson: Thank you so much for taking some time to do this I look forward to seeing you at the MySQL Connect conference.  Please stay tuned here for more updates on MySQL. 

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  • Goto for the Java Programming Language

    - by darcy
    Work on JDK 8 is well-underway, but we thought this late-breaking JEP for another language change for the platform couldn't wait another day before being published. Title: Goto for the Java Programming Language Author: Joseph D. Darcy Organization: Oracle. Created: 2012/04/01 Type: Feature State: Funded Exposure: Open Component: core/lang Scope: SE JSR: 901 MR Discussion: compiler dash dev at openjdk dot java dot net Start: 2012/Q2 Effort: XS Duration: S Template: 1.0 Reviewed-by: Duke Endorsed-by: Edsger Dijkstra Funded-by: Blue Sun Corporation Summary Provide the benefits of the time-testing goto control structure to Java programs. The Java language has a history of adding new control structures over time, the assert statement in 1.4, the enhanced for-loop in 1.5,and try-with-resources in 7. Having support for goto is long-overdue and simple to implement since the JVM already has goto instructions. Success Metrics The goto statement will allow inefficient and verbose recursive algorithms and explicit loops to be replaced with more compact code. The effort will be a success if at least twenty five percent of the JDK's explicit loops are replaced with goto's. Coordination with IDE vendors is expected to help facilitate this goal. Motivation The goto construct offers numerous benefits to the Java platform, from increased expressiveness, to more compact code, to providing new programming paradigms to appeal to a broader demographic. In JDK 8, there is a renewed focus on using the Java platform on embedded devices with more modest resources than desktop or server environments. In such contexts, static and dynamic memory footprint is a concern. One significant component of footprint is the code attribute of class files and certain classes of important algorithms can be expressed more compactly using goto than using other constructs, saving footprint. For example, to implement state machines recursively, some parties have asked for the JVM to support tail calls, that is, to perform a complex transformation with security implications to turn a method call into a goto. Such complicated machinery should not be assumed for an embedded context. A better solution is just to expose to the programmer the desired functionality, goto. The web has familiarized users with a model of traversing links among different HTML pages in a free-form fashion with some state being maintained on the side, such as login credentials, to effect behavior. This is exactly the programming model of goto and code. While in the past this has been derided as leading to "spaghetti code," spaghetti is a tasty and nutritious meal for programmers, unlike quiche. The invokedynamic instruction added by JSR 292 exposes the JVM's linkage operation to programmers. This is a low-level operation that can be leveraged by sophisticated programmers. Likewise, goto is a also a low-level operation that should not be hidden from programmers who can use more efficient idioms. Some may object that goto was consciously excluded from the original design of Java as one of the removed feature from C and C++. However, the designers of the Java programming languages have revisited these removals before. The enum construct was also left out only to be added in JDK 5 and multiple inheritance was left out, only to be added back by the virtual extension method methods of Project Lambda. As a living language, the needs of the growing Java community today should be used to judge what features are needed in the platform tomorrow; the language should not be forever bound by the decisions of the past. Description From its initial version, the JVM has had two instructions for unconditional transfer of control within a method, goto (0xa7) and goto_w (0xc8). The goto_w instruction is used for larger jumps. All versions of the Java language have supported labeled statements; however, only the break and continue statements were able to specify a particular label as a target with the onerous restriction that the label must be lexically enclosing. The grammar addition for the goto statement is: GotoStatement: goto Identifier ; The new goto statement similar to break except that the target label can be anywhere inside the method and the identifier is mandatory. The compiler simply translates the goto statement into one of the JVM goto instructions targeting the right offset in the method. Therefore, adding the goto statement to the platform is only a small effort since existing compiler and JVM functionality is reused. Other language changes to support goto include obvious updates to definite assignment analysis, reachability analysis, and exception analysis. Possible future extensions include a computed goto as found in gcc, which would replace the identifier in the goto statement with an expression having the type of a label. Testing Since goto will be implemented using largely existing facilities, only light levels of testing are needed. Impact Compatibility: Since goto is already a keyword, there are no source compatibility implications. Performance/scalability: Performance will improve with more compact code. JVMs already need to handle irreducible flow graphs since goto is a VM instruction.

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  • To Bit or Not To Bit

    - by Johnm
    'Twas a long day of troubleshooting and firefighting and now, with most of the office vacant, you face a blank scripting window to create a new table in his database. Many questions circle your mind like dirty water gurgling down the bathtub drain: "How normalized should this table be?", "Should I use an identity column?", "NVarchar or Varchar?", "Should this column be NULLABLE?", "I wonder what apple blue cheese bacon cheesecake tastes like?" Well, there are times when the mind goes it's own direction. A Bit About Bit At some point during your table creation efforts you will encounter the decision of whether to use the bit data type for a column. The bit data type is an integer data type that recognizes only the values of 1, 0 and NULL as valid. This data type is often utilized to store yes/no or true/false values. An example of its use would be a column called [IsGasoline] which would be intended to contain the value of 1 if the row's subject (a car) had a gasoline engine and a 0 if the subject did not have a gasoline engine. The bit data type can even be found in some of the system tables of SQL Server. For example, the sysssispackages table in the msdb database which contains SQL Server Integration Services Package information for the packages stored in SQL Server. This table contains a column called [IsEncrypted]. A value of 1 indicates that the package has been encrypted while the value of 0 indicates that it is not. I have learned that the most effective way to disperse the crowd that surrounds the office coffee machine is to engage into SQL Server debates. The bit data type has been one of the most reoccurring, as well as the most enjoyable, of these topics. It contains a practical side and a philosophical side. Practical Consideration This data type certainly has its place and is a valuable option for database design; but it is often used in situations where the answer is really not a pure true/false response. In addition, true/false values are not very informative or scalable. Let's use the previously noted [IsGasoline] column for illustration. While on the surface it appears to be a rather simple question when evaluating a car: "Does the car have a gasoline engine?" If the person entering data is entering a row for a Jeep Liberty, the response would be a 1 since it has a gasoline engine. If the person is entering data is entering a row for a Chevrolet Volt, the response would be a 0 since it is an electric engine. What happens when a person is entering a row for the gasoline/electric hybrid Toyota Prius? Would one person's conclusion be consistent with another person's conclusion? The argument could be made that the current intent for the database is to be used only for pure gasoline and pure electric engines; but this is where the scalability issue comes into play. With the use of a bit data type a database modification and data conversion would be required if the business decided to take on hybrid engines. Whereas, alternatively, if the int data type were used as a foreign key to a reference table containing the engine type options, the change to include the hybrid option would only require an entry into the reference table. Philosophical Consideration Since the bit data type is often used for true/false or yes/no data (also called Boolean) it presents a philosophical conundrum of what to do about the allowance of the NULL value. The inclusion of NULL in a true/false or yes/no response simply violates the logical principle of bivalence which states that "every proposition is either true or false". If NULL is not true, then it must be false. The mathematical laws of Boolean logic support this concept by stating that the only valid values of this scenario are 1 and 0. There is another way to look at this conundrum: NULL is also considered to be the absence of a response. In other words, it is the equivalent to "undecided". Anyone who watches the news can tell you that polls always include an "undecided" option. This could be considered a valid option in the world of yes/no/dunno. Through out all of these considerations I have discovered one absolute certainty: When you have found a person, or group of persons, who are willing to entertain a philosophical debate of the bit data type, you have found some true friends.

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  • IRM Item Codes &ndash; what are they for?

    - by martin.abrahams
    A number of colleagues have been asking about IRM item codes recently – what are they for, when are they useful, how can you control them to meet some customer requirements? This is quite a big topic, but this article provides a few answers. An item code is part of the metadata of every sealed document – unless you define a custom metadata model. The item code is defined when a file is sealed, and usually defaults to a timestamp/filename combination. This time/name combo tends to make item codes unique for each new document, but actually item codes are not necessarily unique, as will become clear shortly. In most scenarios, item codes are not relevant to the evaluation of a user’s rights - the context name is the critical piece of metadata, as a user typically has a role that grants access to an entire classification of information regardless of item code. This is key to the simplicity and manageability of the Oracle IRM solution. Item codes are occasionally exposed to users in the UI, but most users probably never notice and never care. Nevertheless, here is one example of where you can see an item code – when you hover the mouse pointer over a sealed file. As you see, the item code for this freshly created file combines a timestamp with the file name. But what are item codes for? The first benefit of item codes is that they enable you to manage exceptions to the policy defined for a context. Thus, I might have access to all oracle – internal files - except for 2011_03_11 13:33:29 Board Minutes.sdocx. This simple mechanism enables Oracle IRM to provide file-by-file control where appropriate, whilst offering the scalability and manageability of classification-based control for the majority of users and content. You really don’t want to be managing each file individually, but never say never. Item codes can also be used for the opposite effect – to include a file in a user’s rights when their role would ordinarily deny access. So, you can assign a role that allows access only to specified item codes. For example, my role might say that I have access to precisely one file – the one shown above. So how are item codes set? In the vast majority of scenarios, item codes are set automatically as part of the sealing process. The sealing API uses the timestamp and filename as shown, and the user need not even realise that this has happened. This automatically creates item codes that are for all practical purposes unique - and that are also intelligible to users who might want to refer to them when viewing or assigning rights in the management UI. It is also possible for suitably authorised users and applications to set the item code manually or programmatically if required. Setting the item code manually using the IRM Desktop The manual process is a simple extension of the sealing task. An authorised user can select the Advanced… sealing option, and will see a dialog that offers the option to specify the item code. To see this option, the user’s role needs the Set Item Code right – you don’t want most users to give any thought at all to item codes, so by default the option is hidden. Setting the item code programmatically A more common scenario is that an application controls the item code programmatically. For example, a document management system that seals documents as part of a workflow might set the item code to match the document’s unique identifier in its repository. This offers the option to tie IRM rights evaluation directly to the security model defined in the document management system. Again, the sealing application needs to be authorised to Set Item Code. The Payslip Scenario To give a concrete example of how item codes might be used in a real world scenario, consider a Human Resources workflow such as a payslips. The goal might be to allow the HR team to have access to all payslips, but each employee to have access only to their own payslips. To enable this, you might have an IRM classification called Payslips. The HR team have a role in the normal way that allows access to all payslips. However, each employee would have an Item Reader role that only allows them to access files that have a particular item code – and that item code might match the employee’s payroll number. So, employee number 123123123 would have access to items with that code. This shows why item codes are not necessarily unique – you can deliberately set the same code on many files for ease of administration. The employees might have the right to unseal or print their payslip, so the solution acts as a secure delivery mechanism that allows payslips to be distributed via corporate email without any fear that they might be accessed by IT administrators, or forwarded accidentally to anyone other than the intended recipient. All that remains is to ensure that as each user’s payslip is sealed, it is assigned the correct item code – something that is easily managed by a simple IRM sealing application. Each month, an employee’s payslip is sealed with the same item code, so you do not need to keep amending the list of items that the user has access to – they have access to all documents that carry their employee code.

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  • Updated Agenda for OTN Architect Day Los Angeles (Oct 25)

    - by Bob Rhubart
    Here's the latest information on the session schedule and content for Oracle Technology Network Architect Day in Los Angeles on October 25, 2012. Registration is open, but seating is limited. When: Thursday October 25 12, 2012 8:30am – 5:00pm Where: Sofitel Los Angeles 8555 Beverly Boulevard Los Angeles, CA 90048 Agenda Time Session Title Room 8:30 am - 9:00 am Registration and Continental Breakfast 9:00 am - 9:15 am Welcome and Opening Comments | Bob Rhubart Beverly Ballroom 9:15 am - 10:00 am Engineered Systems: Oracle's Vision for the Future | Ralf Dossmann Oracle's Exadata and Exalogic are impressive products in their own right. But working in combination they deliver unparalleled transaction processing performance with up to a 30x increase over existing legacy systems, with the lowest cost of ownership over a 3 or 5 year basis than any other hardware. In this session you'll learn how to leverage Oracle's Engineered Systems within your enterprise to deliver record-breaking performance at the lowest TCO. Beverly Ballroom 10:00 am - 10:30 am Monitoring and Managing Applications in the Cloud | Basheer Khan Oracle offers a broad portfolio of software and hardware products and services to enable public, private and hybrid clouds to power the enterprise. However, enterprise cloud computing presents new management challenges, that need to be addressed to realize the economic benefits of cloud computing. In this session you will learn about the methods and tools you can use to proactively monitor your end-to-end Oracle Applications environment in the cloud, define service-level objectives, gain insight into your end users, and troubleshoot performance problems from a single console. Beverly Ballroom 10:30 am - 10:45 am Break 10:45 am - 11:30 am Breakout Sessions (pick one) Cloud Computing - Making IT Simple | Dr. James Baty The road to Cloud Computing is not without a few bumps. This session will help to smooth out your journey by tackling some of the potential complications. We'll examine whether standardization is a prerequisite for the Cloud. We'll look at why refactoring isn't just for application code. We'll check out deployable entities and their simplification via higher levels of abstraction. And we'll close out the session with a look at engineered systems and modular clouds. Beverly Ballroom Innovations in Grid Computing with Oracle Coherence | Ashok Aletty Learn how Oracle Coherence can increase the availability, scalability and performance of your existing applications with its advanced low-latency data-grid technologies. Also hear some interesting industry-specific use cases that customers had implemented and how Oracle is integrating Coherence into its Enterprise Java stack. Hollywood Room 11:30 am - 12:15 pm Breakout Sessions (pick one) Enterprise Strategy for Cloud Security | Dave Chappelle Security is high on the list of concerns for many organizations as they evaluate their cloud computing options. This session will examine security in the context of the various forms of cloud computing. We'll consider technical and non-technical aspects of security, and discuss several strategies for cloud computing, from both the consumer and producer perspectives. Beverly Ballroom Oracle Enterprise Manager | Perren Walker This session examines new Oracle Enterprise Manager monitoring, administration, and management features for Oracle Exalogic. It focuses on two management themes: cloud management related to virtualization and applications-to-disk management. For private cloud management, it discusses virtualization management features providing an enhanced set of application deployment capabilities enabling IaaS as well as PaaS interactions. Then from an end-to-end perspective, it covers the specific capabilities and—where applicable—best practices for machine, cloud, middleware, and application administration. Hollywood Room 12:15 pm - 1:15 pm Lunch Beverly Ballroom Lounge 1:15 pm - 2:00 pm Panel Discussion - Q&A with session speakers Beverly Ballroom 2:00 pm - 2:45 pm Breakout Sessions (pick one) Oracle Cloud Reference Architecture | Anbu Krishnaswamy Cloud initiatives are beginning to dominate enterprise IT roadmaps. Successful adoption of Cloud and the subsequent governance challenges warrant a Cloud reference architecture that is applied consistently across the enterprise. This presentation will answer the important questions: What exactly is a Cloud, why you need it, what changes it will bring to the enterprise, and what are the key capabilities of a Cloud infrastructure are - using Oracle's Cloud Reference Architecture, which is part of the IT Strategies from Oracle (ITSO) Cloud Enterprise Technology Strategy ETS). Beverly Ballroom 21st Century SOA | Jeff Davies Service Oriented Architecture has evolved from concept to reality in the last decade. The right methodology coupled with mature SOA technologies has helped customers demonstrate success in both innovation and ROI. In this session you will learn how Oracle SOA Suite's orchestration, virtualization, and governance capabilities provide the infrastructure to run mission critical business and system applications. We'll also take a special look at the convergence of SOA & BPM using Oracle's Unified technology stack. Hollywood Room 2:45 pm - 3:00 pm Break 3:00 pm - 4:00 pm Roundtable Discussion Beverly Ballroom 4:00 pm - 4:15 pm Closing Comments & Readouts from Roundtables Beverly Ballroom 4:15 pm - 5:00 pm Networking / Reception Beverly Ballroom Lounge Note: Session schedule and content subject to change.

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  • Announcing Solaris Technical Track at NLUUG Spring Conference on Operating Systems

    - by user9135656
    The Netherlands Unix Users Group (NLUUG) is hosting a full-day technical Solaris track during its spring 2012 conference. The official announcement page, including registration information can be found at the conference page.This year, the NLUUG spring conference focuses on the base of every computing platform; the Operating System. Hot topics like Cloud Computing and Virtualization; the massive adoption of mobile devices that have their special needs in the OS they run but that at the same time put the challenge of massive scalability onto the internet; the upspring of multi-core and multi-threaded chips..., all these developments cause the Operating System to still be a very interesting area where all kinds of innovations have taken and are taking place.The conference will focus specifically on: Linux, BSD Unix, AIX, Windows and Solaris. The keynote speech will be delivered by John 'maddog' Hall, infamous promotor and supporter of UNIX-based Operating Systems. He will talk the audience through several decades of Operating Systems developments, and share many stories untold so far. To make the conference even more interesting, a variety of talks is offered in 5 parallel tracks, covering new developments in and  also collaboration  between Linux, the BSD's, AIX, Solaris and Windows. The full-day Solaris technical track covers all innovations that have been delivered in Oracle Solaris 11. Deeply technically-skilled presenters will talk on a variety of topics. Each topic will first be introduced at a basic level, enabling visitors to attend to the presentations individually. Attending to the full day will give the audience a comprehensive overview as well as more in-depth understanding of the most important new features in Solaris 11.NLUUG Spring Conference details:* Date and time:        When : April 11 2012        Start: 09:15 (doors open: 8:30)        End  : 17:00, (drinks and snacks served afterwards)* Venue:        Nieuwegein Business Center        Blokhoeve 1             3438 LC Nieuwegein              The Nederlands          Tel     : +31 (0)30 - 602 69 00        Fax     : +31 (0)30 - 602 69 01        Email   : [email protected]        Route   : description - (PDF, Dutch only)* Conference abstracts and speaker info can be found here.* Agenda for the Solaris track: Note: talks will be in English unless marked with 'NL'.1.      Insights to Solaris 11         Joerg Moellenkamp - Solaris Technical Specialist         Oracle Germany2.      Lifecycle management with Oracle Solaris 11         Detlef Drewanz - Solaris Technical Specialist         Oracle Germany3.      Solaris 11 Networking - Crossbow Project        Andrew Gabriel - Solaris Technical Specialist        Oracle UK4.      ZFS: Data Integrity and Security         Darren Moffat - Senior Principal Engineer, Solaris Engineering         Oracle UK5.      Solaris 11 Zones and Immutable Zones (NL)         Casper Dik - Senior Staff Engineer, Software Platforms         Oracle NL6.      Experiencing Solaris 11 (NL)         Patrick Ale - UNIX Technical Specialist         UPC Broadband, NLTalks are 45 minutes each.There will be a "Solaris Meeting point" during the conference where people can meet-up, chat with the speakers and with fellow Solaris enthousiasts, and where live demos or other hands-on experiences can be shared.The official announcement page, including registration information can be found at the conference page on the NLUUG website. This site also has a complete list of all abstracts for all talks.Please register on the NLUUG website.

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  • A Basic Thread

    - by Joe Mayo
    Most of the programs written are single-threaded, meaning that they run on the main execution thread. For various reasons such as performance, scalability, and/or responsiveness additional threads can be useful. .NET has extensive threading support, from the basic threads introduced in v1.0 to the Task Parallel Library (TPL) introduced in v4.0. To get started with threads, it's helpful to begin with the basics; starting a Thread. Why Do I Care? The scenario I'll use for needing to use a thread is writing to a file.  Sometimes, writing to a file takes a while and you don't want your user interface to lock up until the file write is done. In other words, you want the application to be responsive to the user. How Would I Go About It? The solution is to launch a new thread that performs the file write, allowing the main thread to return to the user right away.  Whenever the file writing thread completes, it will let the user know.  In the meantime, the user is free to interact with the program for other tasks. The following examples demonstrate how to do this. Show Me the Code? The code we'll use to work with threads is in the System.Threading namespace, so you'll need the following using directive at the top of the file: using System.Threading; When you run code on a thread, the code is specified via a method.  Here's the code that will execute on the thread: private static void WriteFile() { Thread.Sleep(1000); Console.WriteLine("File Written."); } The call to Thread.Sleep(1000) delays thread execution. The parameter is specified in milliseconds, and 1000 means that this will cause the program to sleep for approximately 1 second.  This method happens to be static, but that's just part of this example, which you'll see is launched from the static Main method.  A thread could be instance or static.  Notice that the method does not have parameters and does not have a return type. As you know, the way to refer to a method is via a delegate.  There is a delegate named ThreadStart in System.Threading that refers to a method without parameters or return type, shown below: ThreadStart fileWriterHandlerDelegate = new ThreadStart(WriteFile); I'll show you the whole program below, but the ThreadStart instance above goes in the Main method. The thread uses the ThreadStart instance, fileWriterHandlerDelegate, to specify the method to execute on the thread: Thread fileWriter = new Thread(fileWriterHandlerDelegate); As shown above, the argument type for the Thread constructor is the ThreadStart delegate type. The fileWriterHandlerDelegate argument is an instance of the ThreadStart delegate type. This creates an instance of a thread and what code will execute, but the new thread instance, fileWriter, isn't running yet. You have to explicitly start it, like this: fileWriter.Start(); Now, the code in the WriteFile method is executing on a separate thread. Meanwhile, the main thread that started the fileWriter thread continues on it's own.  You have two threads running at the same time. Okay, I'm Starting to Get Glassy Eyed. How Does it All Fit Together? The example below is the whole program, pulling all the previous bits together. It's followed by its output and an explanation. using System; using System.Threading; namespace BasicThread { class Program { static void Main() { ThreadStart fileWriterHandlerDelegate = new ThreadStart(WriteFile); Thread fileWriter = new Thread(fileWriterHandlerDelegate); Console.WriteLine("Starting FileWriter"); fileWriter.Start(); Console.WriteLine("Called FileWriter"); Console.ReadKey(); } private static void WriteFile() { Thread.Sleep(1000); Console.WriteLine("File Written"); } } } And here's the output: Starting FileWriter Called FileWriter File Written So, Why are the Printouts Backwards? The output above corresponds to Console.Writeline statements in the program, with the second and third seemingly reversed. In a single-threaded program, "File Written" would print before "Called FileWriter". However, this is a multi-threaded (2 or more threads) program.  In multi-threading, you can't make any assumptions about when a given thread will run.  In this case, I added the Sleep statement to the WriteFile method to greatly increase the chances that the message from the main thread will print first. Without the Thread.Sleep, you could run this on a system with multiple cores and/or multiple processors and potentially get different results each time. Interesting Tangent but What Should I Get Out of All This? Going back to the main point, launching the WriteFile method on a separate thread made the program more responsive.  The file writing logic ran for a while, but the main thread returned to the user, as demonstrated by the print out of "Called FileWriter".  When the file write finished, it let the user know via another print statement. This was a very efficient use of CPU resources that made for a more pleasant user experience. Joe

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  • Oracle NoSQL Database Exceeds 1 Million Mixed YCSB Ops/Sec

    - by Charles Lamb
    We ran a set of YCSB performance tests on Oracle NoSQL Database using SSD cards and Intel Xeon E5-2690 CPUs with the goal of achieving 1M mixed ops/sec on a 95% read / 5% update workload. We used the standard YCSB parameters: 13 byte keys and 1KB data size (1,102 bytes after serialization). The maximum database size was 2 billion records, or approximately 2 TB of data. We sized the shards to ensure that this was not an "in-memory" test (i.e. the data portion of the B-Trees did not fit into memory). All updates were durable and used the "simple majority" replica ack policy, effectively 'committing to the network'. All read operations used the Consistency.NONE_REQUIRED parameter allowing reads to be performed on any replica. In the past we have achieved 100K ops/sec using SSD cards on a single shard cluster (replication factor 3) so for this test we used 10 shards on 15 Storage Nodes with each SN carrying 2 Rep Nodes and each RN assigned to its own SSD card. After correcting a scaling problem in YCSB, we blew past the 1M ops/sec mark with 8 shards and proceeded to hit 1.2M ops/sec with 10 shards.  Hardware Configuration We used 15 servers, each configured with two 335 GB SSD cards. We did not have homogeneous CPUs across all 15 servers available to us so 12 of the 15 were Xeon E5-2690, 2.9 GHz, 2 sockets, 32 threads, 193 GB RAM, and the other 3 were Xeon E5-2680, 2.7 GHz, 2 sockets, 32 threads, 193 GB RAM.  There might have been some upside in having all 15 machines configured with the faster CPU, but since CPU was not the limiting factor we don't believe the improvement would be significant. The client machines were Xeon X5670, 2.93 GHz, 2 sockets, 24 threads, 96 GB RAM. Although the clients had 96 GB of RAM, neither the NoSQL Database or YCSB clients require anywhere near that amount of memory and the test could have just easily been run with much less. Networking was all 10GigE. YCSB Scaling Problem We made three modifications to the YCSB benchmark. The first was to allow the test to accommodate more than 2 billion records (effectively int's vs long's). To keep the key size constant, we changed the code to use base 32 for the user ids. The second change involved to the way we run the YCSB client in order to make the test itself horizontally scalable.The basic problem has to do with the way the YCSB test creates its Zipfian distribution of keys which is intended to model "real" loads by generating clusters of key collisions. Unfortunately, the percentage of collisions on the most contentious keys remains the same even as the number of keys in the database increases. As we scale up the load, the number of collisions on those keys increases as well, eventually exceeding the capacity of the single server used for a given key.This is not a workload that is realistic or amenable to horizontal scaling. YCSB does provide alternate key distribution algorithms so this is not a shortcoming of YCSB in general. We decided that a better model would be for the key collisions to be limited to a given YCSB client process. That way, as additional YCSB client processes (i.e. additional load) are added, they each maintain the same number of collisions they encounter themselves, but do not increase the number of collisions on a single key in the entire store. We added client processes proportionally to the number of records in the database (and therefore the number of shards). This change to the use of YCSB better models a use case where new groups of users are likely to access either just their own entries, or entries within their own subgroups, rather than all users showing the same interest in a single global collection of keys. If an application finds every user having the same likelihood of wanting to modify a single global key, that application has no real hope of getting horizontal scaling. Finally, we used read/modify/write (also known as "Compare And Set") style updates during the mixed phase. This uses versioned operations to make sure that no updates are lost. This mode of operation provides better application behavior than the way we have typically run YCSB in the past, and is only practical at scale because we eliminated the shared key collision hotspots.It is also a more realistic testing scenario. To reiterate, all updates used a simple majority replica ack policy making them durable. Scalability Results In the table below, the "KVS Size" column is the number of records with the number of shards and the replication factor. Hence, the first row indicates 400m total records in the NoSQL Database (KV Store), 2 shards, and a replication factor of 3. The "Clients" column indicates the number of YCSB client processes. "Threads" is the number of threads per process with the total number of threads. Hence, 90 threads per YCSB process for a total of 360 threads. The client processes were distributed across 10 client machines. Shards KVS Size Clients Mixed (records) Threads OverallThroughput(ops/sec) Read Latencyav/95%/99%(ms) Write Latencyav/95%/99%(ms) 2 400m(2x3) 4 90(360) 302,152 0.76/1/3 3.08/8/35 4 800m(4x3) 8 90(720) 558,569 0.79/1/4 3.82/16/45 8 1600m(8x3) 16 90(1440) 1,028,868 0.85/2/5 4.29/21/51 10 2000m(10x3) 20 90(1800) 1,244,550 0.88/2/6 4.47/23/53

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  • 7-Eleven Improves the Digital Guest Experience With 10-Minute Application Provisioning

    - by MichaelM-Oracle
    By Vishal Mehra - Director, Cloud Computing, Oracle Consulting Making the Cloud Journey Matter There’s much more to cloud computing than cutting costs and closing data centers. In fact, cloud computing is fast becoming the engine for innovation and productivity in the digital age. Oracle Consulting Services contributes to our customers’ cloud journey by accelerating application provisioning and rapidly deploying enterprise solutions. By blending flexibility with standardization, our Middleware as a Service (MWaaS) offering is ensuring the success of many cloud initiatives. 10-Minute Application Provisioning Times at 7-Eleven As a case in point, 7-Eleven recently highlighted the scope, scale, and results of a cloud-powered environment. The world’s largest convenience store chain is rolling out a Digital Guest Experience (DGE) program across 8,500 stores in the U.S. and Canada. Everyday, 7-Eleven connects with tens of millions of customers through point-of-sale terminals, web sites, and mobile apps. Promoting customer loyalty, targeting promotions, downloading digital coupons, and accepting digital payments are all part of the roadmap for a comprehensive and rewarding customer experience. And what about the time required for deploying successive versions of this mission-critical solution? Ron Clanton, 7-Eleven's DGE Program Manager, Information Technology reported at Oracle Open World, " We are now able to provision new environments in less than 10 minutes. This includes the complete SOA Suite on Exalogic, and Enterprise Manager managing both the SOA Suite, Exalogic, and our Exadata databases ." OCS understands the complex nature of innovative solutions and has processes and expertise to help clients like 7-Eleven rapidly develop technology that enhances the customer experience with little more than the click of a button. OCS understood that the 7-Eleven roadmap required careful planning, agile development, and a cloud-capable environment to move fast and perform at enterprise scale. Business Agility Today’s business-savvy technology leaders face competing priorities as they confront the digital disruptions of the mobile revolution and next-generation enterprise applications. To support an innovation agenda, IT is required to balance competing priorities between development and operations groups. Standardization and consolidation of computing resources are the keys to success. With our operational and technical expertise promoting business agility, Oracle Consulting's deep Middleware as a Service experience can make a significant difference to our clients by empowering enterprise IT organizations with the computing environment they seek to keep up with the pace of change that digitally driven business units expect. Depending on the needs of the organization, this environment runs within a private, public, or hybrid cloud infrastructure. Through on-demand access to a shared pool of configurable computing resources, IT delivers the standard tools and methods for developing, integrating, deploying, and scaling next-generation applications. Gold profiles of predefined configurations eliminate the version mismatches among databases, application servers, and SOA suite components, delivered both by Oracle and other enterprise ISVs. These computing resources are well defined in business terms, enabling users to select what they need from a service catalog. Striking the Balance between Development and Operations As a result, development groups have the flexibility to choose among a menu of available services with descriptions of standard business functions, service level guarantees, and costs. Faced with the consumerization of enterprise IT, they can deliver the innovative customer experiences that seamlessly integrate with underlying enterprise applications and services. This cloud-powered development and testing environment accelerates release cycles to ensure agile development and rapid deployments. At the same time, the operations group is relying on certified stacks and frameworks, tuned to predefined environments and patterns. Operators can maintain a high level of security, and continue best practices for applications/systems monitoring and management. Moreover, faced with the challenges of delivering on service level agreements (SLAs) with the business units, operators can ensure performance, scalability, and reliability of the infrastructure. The elasticity of a cloud-computing environment – the ability to rapidly add virtual machines and storage in response to computing demands -- makes a difference for hardware utilization and efficiency. Contending with Continuous Change What does it take to succeed on the promise of the cloud? As the engine for innovation and productivity in the digital age, IT must face not only the technical transformations but also the organizational challenges of the cloud. Standardizing key technologies, resources, and services through cloud computing is only one part of the cloud journey. Managing relationships among multiple department and projects over time – developing the management, governance, and monitoring capabilities within IT – is an often unmentioned but all too important second part. In fact, IT must have the organizational agility to contend with continuous change. This is where a skilled consulting services partner can play a pivotal role as a trusted advisor in the successful adoption of cloud solutions. With a lifecycle services approach to delivering innovative business solutions, Oracle Consulting Services has expertise and a portfolio of services to help enterprise customers succeed on their cloud journeys as well as other converging mega trends .

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  • The Best BPM Journey: More Exciting Destinations with Process Accelerators

    - by Cesare Rotundo
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Oracle Open World (OOW) earlier this month has been a great occasion to discuss with our BPM customers. It was interesting to hear definite patterns emerging from those conversations: “BPM is a journey”, “experiences to share”, “our organization now understands what BPM is”, and my favorite (with some caveats): “BPM is like wine tasting, once you start, you want to try more”. These customers have started their journey, climbed up the learning curve, and reached a vantage point that allows them to see their next BPM destination. They see the next few processes they are going to tackle and improve with BPM. These processes/destinations target both horizontal processes where BPM replaces or coordinates manual activities, and critical industry processes that the company needs to improve to compete and deliver increasing value. Each new destination generates value, allowing the organization to reduce the cost of manual processes that were not supported by apps/custom development, and increase efficiency of end-to-end processes partially covered by apps/custom dev. The question we wanted to answer is how to help organizations experience deeper success with BPM, by increasing their awareness of the potential for reaching new targets, and equipping them with the right tools. We decided that we needed to identify destinations, and plot routes to show the fastest path to those destinations. In the end we want to enable customers to reach “Process Excellence”: continuously set new targets and consistently and efficiently reach them. The result is Oracle Process Accelerators (PA), solutions built using the rich functionality in Oracle BPM Suite. PAs offers a rapidly expanding list of exciting destinations. Our launch of the latest installment of Process Accelerators at Oracle Open World includes new Industry-focused solutions such as Public Sector Incident Reporting and Financial Services Loan Origination, and improved other horizontal PAs, including Travel Request Management, Document Routing and Approval, and Internal Service Requests. Just before OOW we had extended the Oracle deployment of Travel Request Management, riding the enthusiastic response from early adopters among travelers (employees), management and support (approvers). “Getting there first” means being among the first to extract value from the PA approach, while acquiring deeper insights into the customers’ perspective. This is especially noteworthy when it comes to PAs, a set of solutions designed to be quickly deployed and iteratively improved by customers. The OOW launch has generated immediate feedback from customers, non-customers, analysts, and partners. They all confirmed that both Business and IT at organizations benefit from PAs when it comes to exploring the potential for BPM to improve their business processes. PAs help customers visualize what can be done with BPM, and PAs are made to be extended: you can see your destination, change the path to fit your needs, and deploy. We're discovering new destinations/processes that the market wants us to support, generic enough across industries and within industries. We'll keep on building sets of requirements, deliver functional design, construct solutions using Oracle BPM, and test them not only functionally but for performance, scalability, clustering, making them robust, product-quality. Delivering BPM solutions with product-grade quality is the equivalent of following a tried-and-tested path on a map. Do you know of existing destinations in your industry? If yes, we can draw a path to innovative processes together.

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  • Joining on NULLs

    - by Dave Ballantyne
    A problem I see on a fairly regular basis is that of dealing with NULL values.  Specifically here, where we are joining two tables on two columns, one of which is ‘optional’ ie is nullable.  So something like this: i.e. Lookup where all the columns are equal, even when NULL.   NULL’s are a tricky thing to initially wrap your mind around.  Statements like “NULL is not equal to NULL and neither is it not not equal to NULL, it’s NULL” can cause a serious brain freeze and leave you a gibbering wreck and needing your mummy. Before we plod on, time to setup some data to demo against. Create table #SourceTable ( Id integer not null, SubId integer null, AnotherCol char(255) not null ) go create unique clustered index idxSourceTable on #SourceTable(id,subID) go with cteNums as ( select top(1000) number from master..spt_values where type ='P' ) insert into #SourceTable select Num1.number,nullif(Num2.number,0),'SomeJunk' from cteNums num1 cross join cteNums num2 go Create table #LookupTable ( Id integer not null, SubID integer null ) go insert into #LookupTable Select top(100) id,subid from #SourceTable where subid is not null order by newid() go insert into #LookupTable Select top(3) id,subid from #SourceTable where subid is null order by newid() If that has run correctly, you will have 1 million rows in #SourceTable and 103 rows in #LookupTable.  We now want to join one to the other. First attempt – Lets just join select * from #SourceTable join #LookupTable on #LookupTable.id = #SourceTable.id and #LookupTable.SubID = #SourceTable.SubID OK, that’s a fail.  We had 100 rows back,  we didn’t correctly account for the 3 rows that have null values.  Remember NULL <> NULL and the join clause specifies SUBID=SUBID, which for those rows is not true. Second attempt – Lets deal with those pesky NULLS select * from #SourceTable join #LookupTable on #LookupTable.id = #SourceTable.id and isnull(#LookupTable.SubID,0) = isnull(#SourceTable.SubID,0) OK, that’s the right result, well done and 99.9% of the time that is where its left. It is a relatively trivial CPU overhead to wrap ISNULL around both columns and compare that result, so no problems.  But, although that’s true, this a relational database we are using here, not a procedural language.  SQL is a declarative language, we are making a request to the engine to get the results we want.  How we ask for them can make a ton of difference. Lets look at the plan for our second attempt, specifically the clustered index seek on the #SourceTable   There are 2 predicates. The ‘seek predicate’ and ‘predicate’.  The ‘seek predicate’ describes how SQLServer has been able to use an Index.  Here, it has been able to navigate the index to resolve where ID=ID.  So far so good, but what about the ‘predicate’ (aka residual probe) ? This is a row-by-row operation.  For each row found in the index matching the Seek Predicate, the leaf level nodes have been scanned and tested using this logical condition.  In this example [Expr1007] is the result of the IsNull operation on #LookupTable and that is tested for equality with the IsNull operation on #SourceTable.  This residual probe is quite a high overhead, if we can express our statement slightly differently to take full advantage of the index and make the test part of the ‘Seek Predicate’. Third attempt – X is null and Y is null So, lets state the query in a slightly manner: select * from #SourceTable join #LookupTable on #LookupTable.id = #SourceTable.id and ( #LookupTable.SubID = #SourceTable.SubID or (#LookupTable.SubID is null and #SourceTable.SubId is null) ) So its slightly wordier and may not be as clear in its intent to the human reader, that is what comments are for, but the key point is that it is now clearer to the query optimizer what our intention is. Let look at the plan for that query, again specifically the index seek operation on #SourceTable No ‘predicate’, just a ‘Seek Predicate’ against the index to resolve both ID and SubID.  A subtle difference that can be easily overlooked.  But has it made a difference to the performance ? Well, yes , a perhaps surprisingly high one. Clever query optimizer well done. If you are using a scalar function on a column, you a pretty much guaranteeing that a residual probe will be used.  By re-wording the query you may well be able to avoid this and use the index completely to resolve lookups. In-terms of performance and scalability your system will be in a much better position if you can.

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  • Configuring MySQL Cluster Data Nodes

    - by Mat Keep
    0 0 1 692 3948 Homework 32 9 4631 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} In my previous blog post, I discussed the enhanced performance and scalability delivered by extensions to the multi-threaded data nodes in MySQL Cluster 7.2. In this post, I’ll share best practices on the configuration of data nodes to achieve optimum performance on the latest generations of multi-core, multi-thread CPU designs. Configuring the Data Nodes The configuration of data node threads can be managed in two ways via the config.ini file: - Simply set MaxNoOfExecutionThreads to the appropriate number of threads to be run in the data node, based on the number of threads presented by the processors used in the host or VM. - Use the new ThreadConfig variable that enables users to configure both the number of each thread type to use and also which CPUs to bind them too. The flexible configuration afforded by the multi-threaded data node enhancements means that it is possible to optimise data nodes to use anything from a single CPU/thread up to a 48 CPU/thread server. Co-locating the MySQL Server with a single data node can fully utilize servers with 64 – 80 CPU/threads. It is also possible to co-locate multiple data nodes per server, but this is now only required for very large servers with 4+ CPU sockets dense multi-core processors. 24 Threads and Beyond! An example of how to make best use of a 24 CPU/thread server box is to configure the following: - 8 ldm threads - 4 tc threads - 3 recv threads - 3 send threads - 1 rep thread for asynchronous replication. Each of those threads should be bound to a CPU. It is possible to bind the main thread (schema management domain) and the IO threads to the same CPU in most installations. In the configuration above, we have bound threads to 20 different CPUs. We should also protect these 20 CPUs from interrupts by using the IRQBALANCE_BANNED_CPUS configuration variable in /etc/sysconfig/irqbalance and setting it to 0x0FFFFF. The reason for doing this is that MySQL Cluster generates a lot of interrupt and OS kernel processing, and so it is recommended to separate activity across CPUs to ensure conflicts with the MySQL Cluster threads are eliminated. When booting a Linux kernel it is also possible to provide an option isolcpus=0-19 in grub.conf. The result is that the Linux scheduler won't use these CPUs for any task. Only by using CPU affinity syscalls can a process be made to run on those CPUs. By using this approach, together with binding MySQL Cluster threads to specific CPUs and banning CPUs IRQ processing on these tasks, a very stable performance environment is created for a MySQL Cluster data node. On a 32 CPU/Thread server: - Increase the number of ldm threads to 12 - Increase tc threads to 6 - Provide 2 more CPUs for the OS and interrupts. - The number of send and receive threads should, in most cases, still be sufficient. On a 40 CPU/Thread server, increase ldm threads to 16, tc threads to 8 and increment send and receive threads to 4. On a 48 CPU/Thread server it is possible to optimize further by using: - 12 tc threads - 2 more CPUs for the OS and interrupts - Avoid using IO threads and main thread on same CPU - Add 1 more receive thread. Summary As both this and the previous post seek to demonstrate, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. A big thanks to Mikael Ronstrom, Senior MySQL Architect at Oracle, for his work in developing these enhancements and best practices. You can download MySQL Cluster 7.2 today and try out all of these enhancements. The Getting Started guides are an invaluable aid to quickly building a Proof of Concept Don’t forget to check out the MySQL Cluster 7.2 New Features whitepaper to discover everything that is new in the latest GA release

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  • Tweaking Hudson memory usage

    - by rovarghe
    Hudson 3.1 has some performance optimizations that greatly reduces its memory footprint. Prior to this Hudson used to always hold the entire data model (all jobs and all builds) in memory which affected scalability. Some installations configured heap sizes in excess of 1GB to counteract this. Hudson 3.1.x maintains an MRU cache and only loads jobs and builds as they are required. Because of the inability to change existing APIs and be backward compatible with plugins, there were limits to how far we could go with this approach. Memory optimizations almost always come with a related cost, in this case its additional I/O that has to be performed to load data on request. On a small site that has frequent traffic, this is usually not noticeable since the MRU cache will usually hold on to all the data. A large site with infrequent traffic might experience some delays when the first request hits the server after a long gap. If you have a large heap and are able to allocate more memory, the cache settings can be adjusted to take advantage of this and even go back to pre-3.1 behavior. All the cache settings can be passed as options to the JVM container (Tomcat or the default Jetty container) using the -D option. There are two caches, independant of each other, one for Jobs and the other for Builds. For the jobs cache: hudson.jobs.cache.evict_in_seconds ( default=60 ) Seconds from last access (could be because of a servlet request or a background cron thread) a job should be purged from the cache. Set this to 0 to never purge based on time. hudson.jobs.cache.initial_capacity ( default=1024 ) Initial number of jobs the cache can accomodate. Setting this to the number of jobs you typically display on your Hudson landing page or home page will speed up consecutive access to that page. If the default is too large you may consider downsizing and using that memory for the Builds cache instead. hudson.jobs.cache.max_entries ( default=1024) Maximum number of jobs in the cache. The default is large enough for most installations, but if you find I/O activity when always accessing the hudson home page you might consider increasing this, but first verify if the I/O is caused by frequent eviction (see above), rather than by the cache not being large enough. For the builds cache: The builds cache is used to store Build objects as they are read from storage. Typically this happens when a user drills down into the details of a particular Job from the hudson hom epage. The cache is shared among builds for different jobs since in most installations all jobs are not accessed with the same frequency, so a per-job builds cache would be a waste of memory. hudson.job.builds.cache.evict_in_seconds ( default=60 ) Same as the equivalent Job cache, applied to Build. hudson.job.builds.cache.initial_capacity" ( default=512 ) Same as equivalent Job cache setting. Note the smaller initial size. If your site stores a large number of builds and has frequent access to more builds you might consider bumping this up. hudson.job.builds.cache.max_entries ( default=10240 ) The default max is large enough for most installations, the builds cache has bigger sized objects, so be careful about increasing the upper limit on this. See section on monitoring below. Sample usage: java -jar hudson-war-3.1.2-SNAPSHOT.war -Dhudson.jobs.cache.evict_in_seconds=300 \ -Dhudson.job.builds.cache.evict_in_seconds=300 Monitoring cache usage The 'jmap' tool that comes with the JDK can be used to monitor cache performance in an indirect way by looking at the number of Job and Build objects in each cache. Find the PID of the hudson instance and run $ jmap -histo:live <pid | grep 'hudson.model.*Lazy.*Key$' Here's a sample output: num #instances #bytes class name 523: 28 896 hudson.model.RunMap$LazyRunValue$Key 1200: 3 96 hudson.model.LazyTopLevelItem$Key These are the keys to the Jobs (LazyTopLevelItem$Key) and Builds (RunMap$LazyRunValue$Key) in the caches, so counting the number of keys is a good indicator of the number of items in the cache at any given moment. The size in bytes can be ignored, they are just the size of the keys, not the actual sizes of the objects they hold. Those sizes can only be obtained with a profiler. With the output above we can conclude that there are 3 jobs and 28 builds in memory. The 28 builds can all be from 1 job or all 3 jobs. Over time on an idle system, these should get evicted and memory cache should be empty. In practice, because of background cron threads and triggers, jobs rarely fall down to zero. Access of a job or a build by a cron thread resets the eviction timer.

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  • Looking for efficient scaling patterns for Silverlight application with distributed text-file data s

    - by Edward Tanguay
    I'm designing a Silverlight software solution for students and teachers to record flashcards, e.g. words and phrases that students find while reading and errors that teachers notice while teaching. Requirements are: each person publishes his own flashcards in a file on a web server, e.g. http://:www.mywebserver.com/flashcards.txt other people subscribe to that person's flashcards by using a Silverlight flashcard reader that I have developed and entering the URLs of flashcard files they want to subscribe to, URLs and imported flashcards being saved in IsolatedStorage the flashcards.txt file has the following simple format: title, then blocks of question/answers: Jim Smith's flashcards from English class 53-222, winter semester 2009 ==fla Das kann nicht sein. That can't be. ==fla Es sei denn, er kommt nicht. Unless he doesn't come. The user then makes public the URL to his flashcard file and other readers begin reading in his flashcards. In order to lower the bar for non-technical users to contribute, it will even be possible for them to save this text in a Google Document, which they publish and distribute the URL. The flashcard readers will then recognize it is a google document and perform the necessary screen scraping to get at the raw text. I have two technical questions about this approach: What is a best way to plan now for scalability issues: e.g. if your reader is subscribed to 10 flashcard files that are each 200K, it will have to download 2MB of text just to find out if any new flashcards are available. Or can I somehow accurately and consistently get at the last update date/time of text files on servers and published google docs? Each reader will have the ability to allow the person to test himself on imported flashcards and add meta information to them, e.g. categorize them, edit them, etc. This information will be stored in IsolatedStorage along with the important flashcards themselves. What is a good pattern to allow these readers to share and synchronize this meta data, e.g. so when you are looking at a flashcard you can see that 5 other people have made corrections to it. The best solution I can think of now is that the Silverlight readers will have to republish their data to a central database, but then there is the problem of uniquely identifying each flashcard, the best approach seems to be URL + position-in-file, or even better URL + original text of both question and answer fields, but both of these have their obvious drawbacks. The main requirement is that the bar for participation is kept as low as possible, i.e. type text in a google document, publish it, distribute the URL, and you're publishing within the flashcard community. So I want to come up with the most efficient technical solutions in order to compensate for the lack of database, lack of unique ids, etc. For those who have designed or developed similar non-traditional, distributed database projects like this, what advice, experience or best-practice tips you can share on the above two points?

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  • Zend Framework - Ruby on Rails has a screencast showing how to code a blog in 15 minutes. Does ZF ha

    - by Sootah
    Ruby on Rails has a screencast presentation they use to promote their framework that shows how to code a basic weblog system in 15 minutes with RoR. Does the Zend PHP Framework have a similar screencast/presentation/whatever demonstrating something similar? It doesn't have to be a blog specifically, but I would definitely like to find a presentation that shows some rapid application development using ZF. Where I'm coming from: I have been programming on and off for years now. I started out with QBASIC waaaaay back in the day making little programs (text adventure games, screensavers, simple little things). I then moved to C++ but never really did anything too impressive with it. Since then (probably 5 years or so now) I have started to use C# for my desktop development and PHP for my web development. I've made some pretty cool tools here and there, but am certainly not a professional programmer by any stretch of the term as it has always simply been a hobby of mine. Right now I have two major web applications that I will start work on shortly. (Like tomorrow, or later tonight ideally.. :) ) Both will be database-driven apps that will require user registration, the ability to manipulate data that is specific to their account (their posts, listings, user account details, etc), amongst other things. Currently I am evaluating different frameworks to help me develop these web apps more quickly. I've been looking at, and have heard good things about Ruby on Rails. Hulu and YellowPages.com using it is an obvious endorsement - Of course, I have heard about the scalability issues that it potentially has; but that shouldn't be an issue with what I am working on. I don't expect millions of users per day for either project. I am also seriously looking at the Zend Framework for my needs because I already have some experience with PHP. Ideally I would like to find a ZF screencast that shows an app being written quickly so that I have a roughly equal comparison between the two options I am exploring and can see first-hand how things get done in both. That said - I am not opposed to considering frameworks other than RoR or ZF. The only research I've done on the subject has been over the past couple of days so I am quite certain that there are other excellent options out there that I've not even looked at - or heard of. Of course, it'd be awesome if there is a rapid app dev presentation that I can watch for whatever else is suggested. So - Suggestions? Links to good screencasts that show rapid application development in other frameworks? Are there other PHP frameworks that I should be considering? (Ones that are easy to deploy would be ideal, so I don't have to purchase a dedicated server that I have full control over. I'd like to keep my hosting costs down assuming that it's reasonable) Thanks in advance! -Sootah

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