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• Saving an ActiveRecord non-transactionally.

  - by theFunkyEngineer

  My application accepts file uploads, with some metadata being stored in the DB, and the file itself on the file system. I am trying to make the metadata visible in the application before the file upload and post-processing are finished, but because saves are transactional, I have had no success. I have tried the callbacks and calling create_or_update() instead of save(), all to no avail. Is there a way to do this without re-writing the guts of ActiveRecord::Base? I've even attempted naming the method make() instead of save(), but perplexingly that had no effect. The code below "works" fine, but the database is not modified until everything else is finished. def save(upload) uploadFile = upload['datafile'] originalName = uploadFile.original_filename self.fileType = File.extname(originalName) create_or_update() # write the file File.open(self.filePath, "wb") { |f| f.write(uploadFile.read) } begin musicFile = TagLib::File.new(self.filePath()) self.id3Title = musicFile.title self.id3Artist = musicFile.artist self.id3Length = musicFile.length rescue TagLib::BadFile => exc logger.error("Failed to id track: \n #{exc}") end if(self.fileType == '.mp3') convertToOGG(); end create_or_update() end Any ideas would be quite welcome, thanks.

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• ZFS & Deduplicating FLAC Data

  - by jasongullickson

  I'm experimenting with using ZFS to deduplicate a large library of FLAC files. The purpose of this is twofold: Reduce storage utilization Reduce bandwidth needed to sync the library with cloud storage Many of these files are of the same music tracks but from different physical media. This means that for the most part they are the same and usually close to the same size, which makes me think that they should benefit from block-level deduplication. However in my testing I'm not seeing good results. When I create a pool and add three of these tracks (identical songs from different source media) zpool list reports 1.00 dedupe. If I copy all of the files (make exact duplicates of the three) dedupe climbs, so I know that it is enabled and functioning, but it's not finding any duplication in the original collection of files. My first thought was that perhaps some of the variable header data (metadata tags, etc.) might be mis-aligning the bulk of the data in these files (the audio frames) but even making the header data consistent across the three files doesn't seem to have any impact on deduplication. I'm considering taking alternate routes (testing other dedupe filesystems as well as some custom code) but since we're already using ZFS and I like the ZFS replication options, I'd prefer to use ZFS dedupe for this project; but perhaps it's simply not capable of working well with this sort of data. Any feedback regarding tuning that might improve dedupe performance for this sort of dataset, or confirmation that ZFS dedupe is not the right tool for this job are appreciated.

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• Should I be backing up a webapp's data to another host continuously ?

  - by user196289

  I have webapp in development. I need to plan for what happens if the host goes down. I will lose some very recent session status (which I can live with) and everything else should be persistently stored in the database. If I am starting up again after an outage, can I expect a good host to reconstruct the database to within minutes of where I was up to ? Or seconds ? Or should I build in a background process to continually mirror the database elsewhere ? What is normal / sensible ? Obviously a good host will have RAID and other redundancy so the likelihood of total loss should be low, and if they have periodic backups I should lose only very recent stuff but this is presumably likely to be designed with almost static web content in mind, and my site is transactional with new data being filed continuously (with a customer expectation that I don't ever lose it). Any suggestions / advice ? Are there off the shelf frameworks for doing this ? (I'm primarily working in Java) And should I just plan to save the data or should I plan to have an alternative usable host implementation ready to launch in case the host doesn't come back up in a suitable timeframe ?

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• SQL SERVER – Weekend Project – Experimenting with ACID Transactions, SQL Compliant, Elastically Scalable Database

  - by pinaldave

  Database technology is huge and big world. I like to explore always beyond what I know and share the learning. Weekend is the best time when I sit around download random software on my machine which I like to call as a lab machine (it is a pretty old laptop, hardly a quality as lab machine) and experiment it. There are so many free betas available for download that it’s hard to keep track and even harder to find the time to play with very many of them.  This blog is about one you shouldn’t miss if you are interested in the learning various relational databases. NuoDB just released their Beta 7.  I had already downloaded their Beta 6 and yesterday did the same for 7.   My impression is that they are onto something very very interesting.  In fact, it might be something really promising in terms of database elasticity, scale and operational cost reduction. The folks at NuoDB say they are working on the world’s first “emergent” database which they tout as a brand new transitional database that is intended to dramatically change what’s possible with OLTP.  It is SQL compliant, guarantees ACID transactions, yet scales elastically on heterogeneous and decentralized cloud-based resources. Interesting note for sure, making me explore more. Based on what I’ve seen so far, they are solving the architectural challenge that exists between elastic, cloud-based compute infrastructures designed to scale out in response to workload requirements versus the traditional relational database management system’s architecture of central control. Here’s my experience with the NuoDB Beta 6 so far: First they pretty much threw away all the features you’d associate with existing RDBMS architectures except the SQL and ACID transactions which they were smart to keep.  It looks like they have incorporated a number of the big ideas from various algorithms, systems and techniques to achieve maximum DB scalability. From a user’s perspective, the NuoDB Beta software behaves like any other traditional SQL database and seems to offer all the benefits users have come to expect from standards-based SQL solutions. One of the interesting feature is that one can run a transactional node and a storage node on my Windows laptop as well on other platforms – indeed interesting for sure. It’s quite amazing to see a database elastically scale across machine boundaries. So, one of the basic NuoDB concepts is that as you need to scale out, you can easily use more inexpensive hardware when/where you need it.  This is unlike what we have traditionally done to scale a database for an application – we replace the hardware with something more powerful (faster CPU and Disks). This is where I started to feel like NuoDB is on to something that has the potential to elastically scale on commodity hardware while reducing operational expense for a big OLTP database to a degree we’ve never seen before. NuoDB is able to fully leverage the cloud in an asynchronous and highly decentralized manner – while providing both SQL compliance and ACID transactions. Basically what NuoDB is doing is so new that it is all hard to believe until you’ve experienced it in action.  I will keep you up to date as I test the NuoDB Beta 7 but if you are developing a web-scale application or have an on-premise app you are thinking of moving to the cloud, testing this beta is worth your time. If you do try it, let me know what you think.  Before I say anything more, I am going to do more experiments and more test on this product and compare it with other existing similar products. For me it was a weekend worth spent on learning something new. I encourage you to download Beta 7 version and share your opinions here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Oracle Big Data Software Downloads

  - by Mike.Hallett(at)Oracle-BI&EPM

  Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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• Organizational characteristics that impact the selection of Development Methodology concepts applied to a project

  Based on my experience, no one really follows a specific methodology exactly as it is formally designed. In fact, the key concepts of a few methodologies are usually combined to form a hybrid methodology for each project based on the current organizational makeup and the project need/requirements to be accomplished. Organizational characteristics that impact the selection of methodology concepts applied to a project. Prior subject knowledge pertaining to a project can be critical when deciding on what methodology or combination of methodologies to apply to a project. For example, if a project is very straight forward, and the development staff has experience in developing  that are similar, then the waterfall method could possibly be the best choice because little to no research is needed  in order to complete the project tasks and there is very little need for changes to occur.  On the other hand, if the development staff has limited subject knowledge or the requirements/specification of the project could possibly change as the project progresses then the use of spiral, iterative, incremental, agile, or any combination would be preferred. The previous methodologies used by an organization typically do not change much from project to project unless the needs of a project dictate differently. For example, if the waterfall method is the preferred development methodology then most projects will be developed by the waterfall method. Depending on the time allotted to a project each day can impact the selection of a development methodology. In one example, if the staff can only devote a few hours a day to a project then the incremental methodology might be ideal because modules can be added to the final project as they are developed. On the other hand, if daily time allocation is not an issue, then a multitude of methodologies could work well for a project. Project characteristics that impact the selection of methodology concepts applied to a project. The type of project being developed can often dictate the type of methodology used for the project. Based on my experience, projects that tend to have a lot of user interaction, follow a more iterative, incremental, or agile approach typically using a prototype that develops into a final project. These methodologies desire back and forth communication between users, clients, and developers to allow for requirements to change and functionality to be enhanced. Conversely, limited interaction applications or automated services can still sometimes get away with using the waterfall or transactional approach. The timeline of a project can also force an organization to prefer a particular methodology over the rest. For instance, if the project must be completed within 24 hours, then there is very little time for discussions back and forth between clients, users and the development team. In this scenario, the waterfall method would be perfect because the only interaction with the client occurs prior to a development project to outline the system requirements, and the development team can quickly move through the software development stages in order to complete the project within the deadline. If the team had more time, then the other methodologies could also be considered because there is more time for client and users to review the project and make changes as they see fit, and/or allow for more time to review the project in order to enhance the business performance and functionality. Sometimes the client and or user involvement can dictate the selection of methodologies applied to a project. One example of this is if a client is highly motivated to get a project completed and desires to play an active part in the development process then the agile development approach would work perfectly with this client because it allows for frequent interaction between clients, users and the development team. The inverse of this situation is a client that just wants to provide the project requirements and only wants to get involved when the project is to be delivered. In this case the waterfall method would work well because there is no room for changes and no back and forth between the users, clients or the development team.

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• UPK Hands-on Labs at OHUG

  - by Karen Rihs

  Going to OHUG, June 18-22? Be sure to attend one or more UPK hands-on labs! Choose from Basic, Advanced, What's New, and Prebuilt Content!   Oracle User Productivity Kit 11.1 Workshop – Basic Stephen Armbruster, Oracle Corporation June 19, 2012, 11:00 a.m. – 12:00 p.m. June 20, 2012, 4:30 – 5:30 p.m. The User Productivity Kit (UPK) is a comprehensive, cost-effective, customizable solution that helps your organization quickly create the critical documentation, training, and support materials needed to drive project team and user productivity throughout the lifecycle of your software. The User Productivity Kit provides system process documentation, user acceptance test scripts, comprehensive instructor-led training materials, web-based training materials, role-based performance support, and complete documentation. Also provided is the UPK Developer, which serves as a single-source development and customization tool to enable rapid content creation and customization. The User Productivity Kit delivers: Business process documentation for fit-gap analysis - providing time and cost savings that jump-start your implementation or upgrade User Acceptance test scripts to help test applications prior to go-live State-of-the-art instructional design tools to rapidly build and tailor documentation, instructor-led training materials, and web-based training to fit organizational needs Live-application performance support with transactional and procedural information to maximize user efficiency. By registering for this hands-on UPK workshop, participants will use UPK to build an application job aid and simulation that can be used as performance support for the application. But hurry, space is limited! Oracle User Productivity Kit 11.1 Workshop – Advanced Stephen Armbruster, Oracle Corporation June 20, 2012, 1:30 – 2:30 p.m. This special workshop is for those already familiar with UPK and will cover advanced concepts. In this workshop, you will gain an in-depth knowledge of working with the UPK Developer. Following this workshop, you will be able to: Create publishing categories Add a logo to a publishing project Publish using the newly created category Configure your own library view Manage topic history in a multi-user environment Oracle User Productivity Kit 11.1 Workshop – What’s NEW! Stephen Armbruster, Oracle Corporation June 19, 2012, 1:30 – 2:30 p.m. June 21, 2012, 1:00 – 2:00 p.m. This special workshop is for those already familiar with UPK and will focus on the new features included in the latest version 11.1. In this workshop, you will review most of the new features included in the UPK Developer. Oracle User Productivity Kit 11.1 Workshop – Prebuilt Content Stephen Armbruster, Oracle Corporation June 19, 2012, 4:30 – 5:30 p.m. June 21, 2012, 2:15 – 3:15 p.m. This special workshop is for those already familiar with UPK and will focus on the latest version 11.1. At the end of this workshop, you will be able to demonstrate how to: Import prebuilt content Modify content frames Add a decision frame Translate a topic into Spanish Stephen Armbruster is a principal sales consultant, specializing in HCM and UPK applications for Oracle over the past twelve years. In addition to his current role, he serves as an ambassador for the Fusion User Experience (UX) team and is tasked with evangelizing the UX for end users across all Oracle brands (Fusion, PSFT, JDE, and EBS).  He is also a trusted advisor to Oracle’s Product Management teams related to Learning Management Systems (LMS). Prior to joining Oracle, he was an instructor as well as an instructional technologist working in the medical diagnostics, high tech, and information management industries. As an expert in both LMS and UPK, he regularly speaks at Oracle conferences including Oracle OpenWorld and OHUG on topics that span using Oracle solutions to accomplish employee training, certification, and user adoption. His presentations are both entertaining and engaging.

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• Today's Links (6/30/2011)

  - by Bob Rhubart

  James Gosling Says He Doesn't Care About Java But here's the rest of the story: "What I really care about is the Java Virtual Machine as a concept," says Gosling, "because that is the thing that ties it all together; it's the thing that makes Java the language possible; it's the thing that makes things work on all kinds of different platforms; and it makes all kinds of languages able to coexist." Virtual Developer Day: SOA Accelerate Your Development with Oracle SOA Suite. Learn how in this FREE on-line workshop with Hands-on labs July 12th 9 am to 1:30 PM PST" July 12th 9 am to 1:30 PM PST Podcast: Toronto Architect Day Panel Discussion Part 3 (of 4) is now available, in which the panel (including Oracle ACE Director Cary Millsap and InfoQ editor and co-founder Floyd Marinescu) discusses public vs private cloud as the best strategy for small businesses and start-ups. WebLogic Weekly for June 27th, 2011 | James Bayer Bayer shares the latest resources for those with WebLogic on the brain. Griffiths Waite at Oracle Open World | Mark Simpson Oracle ACE Director Mark Simpson share information on the presentations he's scheduled to give at Oracle OpenWorld San Francisco 2011. Kscope Solid Service Bus Implementations Peter Paul van de Beek's Kscope11 presentation "is aimed at supporting architects and especially developers to choose the right integration infrastructure for a job." Migration To Java EE 6 With Spring 3 - ...Could Become "Interesting" | Adam Bien "Put simply, big data implies datasets so large they can't normally be processed using a standard transactional database," says David Dorf. "The term 'noSQL' is often used in this context as well." Book Review: "Designing With the Mind In Mind" | Abhinav Agarwal According to Abhinav Agarwal, Jeff Johnson's new book is about "the theory of how the mind perceives information, of how humans understand what they read, and how our eyes are attuned to paying attention to not just what's happening in front of us but also at the periphery of our vision." BPM 11g Advanced Workshop | Martien van den Akker Martien van den Akker shares his thoughts on both the workshop he recently attended and on the Oracle BPM 11g product. Fusion Applications - What You Need To Know: Product Families | Floyd Teter "Fusion Applications are organized into seven groups of related products called Product Families," observes Oracle ACE Director Floyd Teter. "While the product features are organized according to the Business Process Model and can cross the boundaries of product families, the product family groupings are an easy way to wrap your mind around Fusion Apps." Grid Control: Refreshing Weblogic Domains | Dave Best Dave Best shares tips for avoiding problems when using grid control to centrally manage/monitor your environment. Webcast: Oracle to Announce Datanomic Integration Plans The combination of Datanomic technology and the previous acquisition of Silver Creek Systems will deliver a complete, integrated and best-of-breed solution for Data Quality. Learn about Oracle’s strategy and product plans and how the new products acquired from Datanomic will impact your organization. July 19, 2011, 8:00am PT / 11:00am ET. Speakers include Michael Weingartner (Vice President, Product Development, Oracle), Martin Boyd (Senior Director, Product Strategy, Oracle), and Dain Hansen (Director, Product Marketing, Fusion Middleware, Oracle).

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• Oracle OpenWorld Update: Demo Pods and Hands-on Labs

  - by Doug Reid

  0 false 18 pt 18 pt 0 0 false false false /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Less than one week away until the start of Oracle OpenWorld 2012 and the Data Integration Solutions team is ready to go!  We have an exciting line up for you this year which we have summarized for you in the Oracle OpenWorld Focus on Data Integration Solutions document. In past posts we have discussed session themes and our customer panel, but today I would like to summarize our Hands-on Labs and Demo Pods that we have available for attendees. For Oracle GoldenGate Hands-On Labs we have two labs that we are running this year. Deep Dive into Oracle GoldenGate Thursday October 4th at 11:15AM in the Marriott Marquis Salon 1/2 Oracle GoldenGate provides real-time log-based change data capture and delivery between heterogeneous systems. It enables cost-effective, low-impact, real-time data integration and continuous availability solutions. This session covers Oracle GoldenGate 11g’s internal product architecture and includes a hands-on lab that covers configuration examples for target database instantiation and real-time change data capture and delivery. The participants will configure Oracle GoldenGate to instantiate a secondary database that can be used for disaster recovery or a reporting instance. Come learn how easy it is to use and how this can be a very valuable and easy technology solution for your organization. Introduction to Oracle GoldenGate Veridata Wednesday October 3rd 10:15AM in the Marriott Marquis Sales 1/2 Oracle GoldenGate Veridata compares one set of data with another and identifies data that is out of synchronization. In this hands-on lab, you will be introduced to the key features of this product. Using the Oracle GoldenGate Veridata Web client, you will have the opportunity to configure comparison objects and rules, initiate a comparison, review the status and output of a comparison, and review out-of-sync data. As a bonus this year, we have recorded the labs and made them available on youtube.com/oraclegoldengate. These will be available the day of the labs. Our demo pods are an opportunity for attendees to see our products but more so to meet the product management and development teams. I would like to point out that we have two Oracle GoldenGate 11gR2 demo pods, one in the database camp and the other in the middleware camp. The one in the middleware camp will be focused on all platforms while the one in the database camp will have a focus on the Oracle platform. The other two I would like to point out are the Monitoring Oracle GoldenGate and the Oracle Enterprise Manager demo pods; both of these pods will focus on methods to monitor GoldenGate but the OEM demo pod will have a specific focus on the Oracle GoldenGate Management Pack plug-in for OEM. Below is a list of our demo pods and their locations. Monitoring Oracle GoldenGate for End-to-End Visibility Moscone South, Right - S-241 Oracle Data Integrator and Oracle GoldenGate for Oracle Applications Moscone South, Right - S-240 Oracle GoldenGate 11gR2 New Features Moscone South, Right - S-239 Oracle GoldenGate 11gR2: Real-Time, Transactional Database Replication     Moscone South, Left - S-027 Oracle GoldenGate Veridata and Adapters Moscone South, Right - S-242 Oracle Enterprise Manager Moscone South, Left - S-040 Keep tuned to our blog during the show for news and highlights from the Data Integration Solutions team. See you there.

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• Multitenant Design for SQL Azure: White Paper Available

  - by Herve Roggero

  Cloud computing is about scaling out all your application tiers, from web application to the database layer. In fact, the whole promise of Azure is to pay for just what you need. You need more IIS servers? No problemo... just spin another web server. You expect to double your storage needs for Azure Tables? No problemo; you are covered there too... just pay for your storage needs. But what about the database tier, SQL Azure? How do you add new databases easily, and transparently, so that your application simply uses more of SQL Azure if its needs to? Without changing a single line of code? And what if you need to scale back down? Welcome to the world of database scalability. There are many terms that describe database scalability, including data federation, multitenant designs, and even NoSQL depending on the technical solution you are implementing.  Because SQL Azure is a transactional database system, NoSQL is not really an option. However data federation and multitenant designs offer some very interesting scalability options that are worth considering. Data federation, a feature of SQL Azure that will be offered in the future, offers very interesting capabilities available natively on the SQL Azure platform. More to come in a few weeks... Multitenant designs on the other hand are design practices and technologies designed to help you reach flexible scalability options not available otherwise. The first incarnation of such a method was made available on CodePlex as an open source project (http://enzosqlshard.codeplex.com).  This project was an attempt to provide a sharding library for educational purposes.  All that sounds really cool... and really esoteric... almost a form of database "voodoo"... However after being on multiple Azure projects I am starting to see a real need. Customers want to be able to free themselves from the database tier, so that if they have 10 new customers tomorrow, all they need to do is add 2 more SQL Azure instances. It's that simple. How you achieve this, and suggested application design guidelines, are available in a white paper I just published.  The white paper offers two primary sections. The first section describes the business and technical problem at hand, and how to classify it according to specific design patterns. For example, I discuss compressed shards through schema separation. The second section offers a method for addressing the needs of a multitenant design using a new library, the big bother of the codeplex project mentioned previously (that I created earlier this year), complete with management interface and such. A Beta of this platform will be made available within weeks; as soon as the documentation will be ready.   I would like to ask you to drop me a quick email at [email protected] if you are going to download the white paper. It's not required, but it would help me get in touch with you for feedback.  You can download this white paper here:   http://www.bluesyntax.net/files/EnzoFramework.pdf . Thank you, and I am looking for feedback, thoughts and implementation opportunities.

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• ArchBeat Link-o-Rama Top 10 for December 9-15, 2012

  - by Bob Rhubart

  You click, we listen. The following list reflects the Top 10 most popular items posted on the OTN ArchBeat Facefbook page for the week of December 9-15, 2012. DevOps Basics II: What is Listening on Open Ports and Files – WebLogic Essentials | Dr. Frank Munz "Can you easily find out which WebLogic servers are listening to which port numbers and addresses?" asks Dr. Frank Munz. The good doctor has an answer—and a tech tip. Using OBIEE against Transactional Schemas Part 4: Complex Dimensions | Stewart Bryson "Another important entity for reporting in the Customer Tracking application is the Contact entity," says Stewart Bryson. "At first glance, it might seem that we should simply build another dimension called Dim – Contact, and use analyses to combine our Customer and Contact dimensions along with our Activity fact table to analyze Customer and Contact behavior." SOA 11g Technology Adapters – ECID Propagation | Greg Mally "Many SOA Suite 11g deployments include the use of the technology adapters for various activities including integration with FTP, database, and files to name a few," says Oracle Fusion Middleware A-Team member Greg Mally. "Although the integrations with these adapters are easy and feature rich, there can be some challenges from the operations perspective." Greg's post focuses on technical tips for dealing with one of these challenges. Podcast: DevOps and Continuous Integration In Part 1 of a 3-part program, panelists Tim Hall (Senior Director of product management for Oracle Enterprise Repository and Oracle’s Application Integration Architecture), Robert Wunderlich (Principal Product Manager for Oracle’s Application Integration Architecture Foundation Pack) and Peter Belknap (Director of product management for Oracle SOA Integration) discuss why DevOps matters and how it changes development methodologies and organizational structure. Good To Know - Conflicting View Objects and Shared Entity | Andrejus Baranovskis Oracle ACE Director Andrejus Baranovskis shares his thoughts -- and a sample application -- dealing with an "interesting ADF behavior" encountered over the weekend. Cloud Deployment Models | B. R. Clouse Looking out for the cloud newbies... "As the cloud paradigm grows in depth and breadth, more readers are approaching the topic for the first time, or from a new perspective," says B. R. Clouse. "This blog is a basic review of cloud deployment models, to help orient newcomers and neophytes." Service governance morphs into cloud API management | David Linthicum "When building and using clouds, the ability to manage APIs or services is the single most important item you can provide to ensure the success of the project," says David Linthicum. "But most organizations driving a cloud project for the first time have no experience handling a service-based architecture and don't see the need for API management until after deployment. By then, it's too late." Oracle Fusion Middleware Security: Password Policy in OAM 11g R2 | Rob Otto Rob Otto continues the Oracle Fusion Middleware A-Team "Oracle Access Manager Academy" series with a detailed look at OAM's ability to support "a subset of password management processes without the need to use Oracle Identity Manager and LDAP Sync." Understanding the JSF Lifecycle and ADF Optimized Lifecycle | Steven Davelaar Could you call that a surprise ending? Oracle WebCenter & ADF Architecture Team (A-Team) member learned a lot more than he expected while creating a UKOUG presentation entitled "What you need to know about JSF to be succesful with ADF." Expanding on requestaudit - Tracing who is doing what...and for how long | Kyle Hatlestad "One of the most helpful tracing sections in WebCenter Content (and one that is on by default) is the requestaudit tracing," says Oracle Fusion Middleware A-Team architect Kyle Hatlestad. Get up close and technical in his post. Thought for the Day "There is no code so big, twisted, or complex that maintenance can't make it worse." — Gerald Weinberg Source: SoftwareQuotes.com

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• Cloud Backup: Getting the Users' Backs Up

  - by Tony Davis

  On Wednesday last week, Microsoft announced that as of July 1, all data transfers into its Microsoft Azure cloud will be free (though you have to pay for transferring data out). On Thursday last week, SQL Azure in Western Europe went down. It was a relatively short outage, but since SQL Azure currently provides no easy way to take a standard backup of a database and store it locally, many people had no recourse but to wait patiently for their cloud-based app to resume. It seems that Microsoft are very keen encourage developers to move their data onto their cloud, but are developers ready to do it, given that such basic backup capabilities are lacking? Recently on Simple-Talk, Mike Mooney described a perfect use case for the Microsoft Cloud. They had a simple web-based application with a SQL Server backend; they could move the application to Windows Azure, and the data into SQL Azure and in the process free themselves from much of the hassle surrounding management and scaling of the hardware, network and so on. It was a great fit and yet it nearly didn't happen; lack of support for the BACKUP command almost proved a show-stopper. Of course, backups of Azure databases are always and have always been taken automatically, for disaster recovery purposes, but these are strictly on-cloud copies and as of now it is not possible to use them to them to restore a database to a particular point in time. It seems that none of those clever Microsoft people managed to predict the need to perform basic backups of Azure databases so that copies could be stored locally, outside the Azure universe. At the very least, as Mike points out, performing a local backup before a new deployment is more or less mandatory. Microsoft did at least note the sound of gnashing teeth and, as a stop-gap measure, offered SQL Azure Database Copy which basically allows you to create an online clone of your database, but this doesn't allow for storing local archives of the data. To that end MS has provided SQL Azure Import/Export, to package up and export a database and its data, using BACPACs. These BACPACs do not guarantee transactional consistency; for example, if a child table is modified after the parent is copied, then the copied database will be in inconsistent state (meaning, to add to the fun, BACPACs need to be created from a database copy). In any event, widespread problems with BACPAC's evil cousin, the DACPAC have been well-documented, and it seems likely that many will also give BACPAC the bum's rush. Finally, in a TechEd 2011 presentation tagged "SQL Azure Advanced Administration", it was announced that "backup and restore" were coming in the next SQL Azure CTP. And yet this still doesn't mean that we'll get simple backups as DBAs know and love them. What it does mean, at least, is the ability to restore any given database to a point in time within a 2-week window. For the time being, if you want a local copy of your data and don't want to brave the BACPAC, one is left with SSIS or BCP, creative use of schema and data comparison tools, or use of SQL Azure Backup (currently in beta) in order to perform this simple but vital task. Cheers, Tony.

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• Planning in the Cloud - For Real

  - by jmorourke

  One of the hottest topics at Oracle OpenWorld 2012 this week is “the cloud”.  Over the past few years, Oracle has made major investments in cloud-based applications, including some acquisitions, and now has over 100 applications available through Oracle Cloud services.  At OpenWorld this week, Oracle announced seven new offerings delivered via the Oracle Cloud services platform, one of which is the Oracle Planning and Budgeting Cloud Service.  Based on Oracle Hyperion Planning, this service is the first of Oracle’s EPM applications to be to be offered in the Cloud.    This solution is targeted to organizations that are struggling with spreadsheets or legacy planning and budgeting applications, want to deploy a world class solution for financial planning and budgeting, but are constrained by IT resources and capital budgets. With the Oracle Planning and Budgeting Cloud Service, organizations can fast track their way to world-class financial planning, budgeting and forecasting – at cloud speed, with no IT infrastructure investments and with minimal IT resources. Oracle Hyperion Planning is a market-leading budgeting, planning and forecasting application that is used by over 3,300 organizations worldwide.  Prior to this announcement, Oracle Hyperion Planning was only offered on a license and maintenance basis.  It could be deployed on-premise, or hosted through Oracle On-Demand or third party hosting partners.  With this announcement, Oracle’s market-leading Hyperion Planning application will be available as a Cloud Service and through subscription-based pricing. This lowers the cost of entry and deployment for new customers and provides a scalable environment to support future growth. With this announcement, Oracle is the first major vendor to offer one of its core EPM applications as a cloud-based service.  Other major vendors have recently announced cloud-based EPM solutions, but these are only BI dashboards delivered via a cloud platform.   With this announcement Oracle is providing a market-leading, world-class financial budgeting, planning and forecasting as a cloud service, with the following advantages: ·                     Subscription-based pricing ·                     Available standalone or as an extension to Oracle Fusion Financials Cloud Service ·                     Implementation services available from Oracle and the Oracle Partner Network ·                     High scalability and performance ·                     Integrated financial reporting and MS Office interface ·                     Seamless integration with Oracle and non-Oracle transactional applications ·                     Provides customers with more options for their planning and budgeting deployment vs. strictly on-premise or cloud-only solution providers. The OpenWorld announcement of Oracle Planning and Budgeting Cloud Service is a preview announcement, with controlled availability expected in calendar year 2012.  For more information, check out the links below: Press Release Web site If you have any questions or need additional information, please feel free to contact me at [email protected].

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• Java EE 7 Roadmap

  - by Linda DeMichiel

  The Java EE 6 Platform, released in December 2009, has seen great uptake from the community with its POJO-based programming model, lightweight Web Profile, and extension points. There are now 13 Java EE 6 compliant appserver implementations today! When we announced the Java EE 7 JSR back in early 2011, our plans were that we would release it by Q4 2012. This target date was slightly over three years after the release of Java EE 6, but at the same time it meant that we had less than two years to complete a fairly comprehensive agenda — to continue to invest in significant enhancements in simplification, usability, and functionality in updated versions of the JSRs that are currently part of the platform; to introduce new JSRs that reflect emerging needs in the community; and to add support for use in cloud environments. We have since announced a minor adjustment in our dates (to the spring of 2013) in order to accommodate the inclusion of JSRs of importance to the community, such as Web Sockets and JSON-P. At this point, however, we have to make a choice. Despite our best intentions, our progress has been slow on the cloud side of our agenda. Partially this has been due to a lack of maturity in the space for provisioning, multi-tenancy, elasticity, and the deployment of applications in the cloud. And partially it is due to our conservative approach in trying to get things "right" in view of limited industry experience in the cloud area when we started this work. Because of this, we believe that providing solid support for standardized PaaS-based programming and multi-tenancy would delay the release of Java EE 7 until the spring of 2014 — that is, two years from now and over a year behind schedule. In our opinion, that is way too long. We have therefore proposed to the Java EE 7 Expert Group that we adjust our course of action — namely, stick to our current target release dates, and defer the remaining aspects of our agenda for PaaS enablement and multi-tenancy support to Java EE 8. Of course, we continue to believe that Java EE is well-suited for use in the cloud, although such use might not be quite ready for full standardization. Even today, without Java EE 7, Java EE vendors such as Oracle, Red Hat, IBM, and CloudBees have begun to offer the ability to run Java EE applications in the cloud. Deferring the remaining cloud-oriented aspects of our agenda has several important advantages: It allows Java EE Platform vendors to gain more experience with their implementations in this area and thus helps us avoid risks entailed by trying to standardize prematurely in an emerging area. It means that the community won't need to wait longer for those features that are ready at the cost of those features that need more time. Because we have already laid some of the infrastructure for cloud support in Java EE 7, including resource definition metadata, improved security configuration, JPA schema generation, etc., it will allow us to expedite a Java EE 8 release. We therefore plan to target the Java EE 8 Platform release for the spring of 2015. This shift in the scope of Java EE 7 allows us to better retain our focus on enhancements in simplification and usability and to deliver on schedule those features that have been most requested by developers. These include the support for HTML 5 in the form of Web Sockets and JSON-P; the simplified JMS 2.0 APIs; improved Managed Bean alignment, including transactional interceptors; the JAX-RS 2.0 client API; support for method-level validation; a much more comprehensive expression language; and more. We feel strongly that this is the right thing to do, and we hope that you will support us in this proposed direction.

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• WiX, MSDeploy and an appealing configuration/deployment paradigm

  - by alexhildyard

  I do a lot of application and server configuration; I've done this for many years and have tended to view the complexity of this strictly in terms of the complexity of the ultimate configuration to be deployed. For example, specific APIs aside, I would tend to regard installing a server certificate as a more complex activity than, say, copying a file or adding a Registry entry.My prejudice revolved around the idea of a sequential deployment script that not only had the explicit prescription to apply a specific server configuration, but also made the implicit presumption that the server in question was in a good known state. Scripts like this fail for hundreds of reasons -- the Default Website didn't exist; the application had already been deployed; the application had already been partially deployed and failed to rollback fully, and so on. And so the problem is that the more complex the configuration activity, the more scope for error in any individual part of that activity, and therefore the greater the chance the server in question will not end up at exactly the desired configuration level.Recently I was introduced to a completely different mindset, which, for want of a better turn of phrase, I will call the "make it so" mindset. It's extremely simple both to explain and to implement. In place of the head-down, imperative script you used to use, you substitute a set of checks -- much like exception handlers -- around each configuration activity, starting with a check of the current system state. Thus the configuration logic becomes: "IF these services aren't started then start them, and IF XYZ website doesn't exist then create it, and IF these shares don't exist then create them, and IF these shares aren't permissioned in some particular way, then permission them so." This works. Really well, in my experience. Scenario 1: You want to get a system into a good known state; it's already in a good known state; you quickly realise there is nothing to do.Scenario 2: You want to get the system into a good known state; your script is flawed or the system is bust; it cannot be put into that state. You know exactly where (at least part of) the problem is and why.Scenario 3: You want to get the system into a good known state; people are fiddling around with the system just now. That's fine. You do what you can, and later you come back and try it againScenario 4: No one wants to deploy anything; they want you to prove that the previous deployment was successful. So you re-run the deployment script with the "-WhatIf" flag. It reports that there was nothing to change. There's your proof.I mentioned two technologies in the title -- MSI and MSDeploy. I am thinking specifically of the conversation that took place here. Having worked with both technologies, I think Rob Mensching's response is appropriately nuanced, and in essence the difference is this: sometimes your target is either to achieve a specific new server state, or to rollback to a known good one. Then again, your target may be to configure what you can, and to understand what you can't. Implicitly MSDeploy's "rollback" is simply to redeploy the previous version, whereas a well-crafted MSI will actively put your system into that state without further intervention. Either way, if all goes well it will leave you with a system in one of two states, whereas MSDeploy could leave your system in one of many states. The key is that MSDeploy and MSI are complementary technologies; which suits you best depends as much on Operational guidance as your Configuration remit.What I wanted to say was that I have always been for atomic, transactional-based configuration, but having worked with the "make it so" paradigm, I have been favourably impressed by the actual results. I'm tempted to put a more technical post up on this in due course.

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• Learn Many Languages

  - by Jeff Foster

  My previous blog, Deliberate Practice, discussed the need for developers to “sharpen their pencil” continually, by setting aside time to learn how to tackle problems in different ways. However, the Sapir-Whorf hypothesis, a contested and somewhat-controversial concept from language theory, seems to hold reasonably true when applied to programming languages. It states that: “The structure of a language affects the ways in which its speakers conceptualize their world.” If you’re constrained by a single programming language, the one that dominates your day job, then you only have the tools of that language at your disposal to think about and solve a problem. For example, if you’ve only ever worked with Java, you would never think of passing a function to a method. A good developer needs to learn many languages. You may never deploy them in production, you may never ship code with them, but by learning a new language, you’ll have new ideas that will transfer to your current “day-job” language. With the abundant choices in programming languages, how does one choose which to learn? Alan Perlis sums it up best. “A language that doesn‘t affect the way you think about programming is not worth knowing“ With that in mind, here’s a selection of languages that I think are worth learning and that have certainly changed the way I think about tackling programming problems. Clojure Clojure is a Lisp-based language running on the Java Virtual Machine. The unique property of Lisp is homoiconicity, which means that a Lisp program is a Lisp data structure, and vice-versa. Since we can treat Lisp programs as Lisp data structures, we can write our code generation in the same style as our code. This gives Lisp a uniquely powerful macro system, and makes it ideal for implementing domain specific languages. Clojure also makes software transactional memory a first-class citizen, giving us a new approach to concurrency and dealing with the problems of shared state. Haskell Haskell is a strongly typed, functional programming language. Haskell’s type system is far richer than C# or Java, and allows us to push more of our application logic to compile-time safety. If it compiles, it usually works! Haskell is also a lazy language – we can work with infinite data structures. For example, in a board game we can generate the complete game tree, even if there are billions of possibilities, because the values are computed only as they are needed. Erlang Erlang is a functional language with a strong emphasis on reliability. Erlang’s approach to concurrency uses message passing instead of shared variables, with strong support from both the language itself and the virtual machine. Processes are extremely lightweight, and garbage collection doesn’t require all processes to be paused at the same time, making it feasible for a single program to use millions of processes at once, all without the mental overhead of managing shared state. The Benefits of Multilingualism By studying new languages, even if you won’t ever get the chance to use them in production, you will find yourself open to new ideas and ways of coding in your main language. For example, studying Haskell has taught me that you can do so much more with types and has changed my programming style in C#. A type represents some state a program should have, and a type should not be able to represent an invalid state. I often find myself refactoring methods like this… void SomeMethod(bool doThis, bool doThat) { if (!(doThis ^ doThat)) throw new ArgumentException(“At least one arg should be true”); if (doThis) DoThis(); if (doThat) DoThat(); } …into a type-based solution, like this: enum Action { DoThis, DoThat, Both }; void SomeMethod(Action action) { if (action == Action.DoThis || action == Action.Both) DoThis(); if (action == Action.DoThat || action == Action.Both) DoThat(); } At this point, I’ve removed the runtime exception in favor of a compile-time check. This is a trivial example, but is just one of many ideas that I’ve taken from one language and implemented in another.

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• Thinking Local, Regional and Global

  - by Apeksha Singh-Oracle

  The FIFA World Cup tournament is the biggest single-sport competition: it’s watched by about 1 billion people around the world. Every four years each national team’s manager is challenged to pull together a group players who ply their trade across the globe. For example, of the 23 members of Brazil’s national team, only four actually play for Brazilian teams, and the rest play in England, France, Germany, Spain, Italy and Ukraine. Each country’s national league, each team and each coach has a unique style. Getting all these “localized” players to work together successfully as one unit is no easy feat. In addition to $35 million in prize money, much is at stake – not least national pride and global bragging rights until the next World Cup in four years time. Achieving economic integration in the ASEAN region by 2015 is a bit like trying to create the next World Cup champion by 2018. The team comprises Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam. All have different languages, currencies, cultures and customs, rules and regulations. But if they can pull together as one unit, the opportunity is not only great for business and the economy, but it’s also a source of regional pride. BCG expects by 2020 the number of firms headquartered in Asia with revenue exceeding $1 billion will double to more than 5,000. Their trade in the region and with the world is forecast to increase to 37% of an estimated $37 trillion of global commerce by 2020 from 30% in 2010. Banks offering transactional banking services to the emerging market place need to prepare to repond to customer needs across the spectrum – MSMEs, SMEs, corporates and multi national corporations. Customers want innovative, differentiated, value added products and services that provide: • Pan regional operational independence while enabling single source of truth at a regional level • Regional connectivity and Cash & Liquidity  optimization • Enabling Consistent experience for their customers  by offering standardized products & services across all ASEAN countries • Multi-channel & self service capabilities / access to real-time information on liquidity and cash flows • Convergence of cash management with supply chain and trade finance While enabling the above to meet customer demands, the need for a comprehensive and robust credit management solution for effective regional banking operations is a must to manage risk. According to BCG, Asia-Pacific wholesale transaction-banking revenues are expected to triple to $139 billion by 2022 from $46 billion in 2012. To take advantage of the trend, banks will have to manage and maximize their own growth opportunities, compete on a broader scale, manage the complexity within the region and increase efficiency. They’ll also have to choose the right operating model and regional IT platform to offer: • Account Services • Cash & Liquidity Management • Trade Services & Supply Chain Financing • Payments • Securities services • Credit and Lending • Treasury services The core platform should be able to balance global needs and local nuances. Certain functions need to be performed at a regional level, while others need to be performed on a country level. Financial reporting and regulatory compliance are a case in point. The ASEAN Economic Community is in the final lap of its preparations for the ultimate challenge: becoming a formidable team in the global league. Meanwhile, transaction banks are designing their own hat trick: implementing a world-class IT platform, positioning themselves to repond to customer needs and establishing a foundation for revenue generation for years to come. Anand Ramachandran Senior Director, Global Banking Solutions Practice Oracle Financial Services Global Business Unit

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• Concurrent Affairs

  - by Tony Davis

  I once wrote an editorial, multi-core mania, on the conundrum of ever-increasing numbers of processor cores, but without the concurrent programming techniques to get anywhere near exploiting their performance potential. I came to the.controversial.conclusion that, while the problem loomed for all procedural languages, it was not a big issue for the vast majority of programmers. Two years later, I still think most programmers don't concern themselves overly with this issue, but I do think that's a bigger problem than I originally implied. Firstly, is the performance boost from writing code that can fully exploit all available cores worth the cost of the additional programming complexity? Right now, with quad-core processors that, at best, can make our programs four times faster, the answer is still no for many applications. But what happens in a few years, as the number of cores grows to 100 or even 1000? At this point, it becomes very hard to ignore the potential gains from exploiting concurrency. Possibly, I was optimistic to assume that, by the time we have 100-core processors, and most applications really needed to exploit them, some technology would be around to allow us to do so with relative ease. The ideal solution would be one that allows programmers to forget about the problem, in much the same way that garbage collection removed the need to worry too much about memory allocation. From all I can find on the topic, though, there is only a remote likelihood that we'll ever have a compiler that takes a program written in a single-threaded style and "auto-magically" converts it into an efficient, correct, multi-threaded program. At the same time, it seems clear that what is currently the most common solution, multi-threaded programming with shared memory, is unsustainable. As soon as a piece of state can be changed by a different thread of execution, the potential number of execution paths through your program grows exponentially with the number of threads. If you have two threads, each executing n instructions, then there are 2^n possible "interleavings" of those instructions. Of course, many of those interleavings will have identical behavior, but several won't. Not only does this make understanding how a program works an order of magnitude harder, but it will also result in irreproducible, non-deterministic, bugs. And of course, the problem will be many times worse when you have a hundred or a thousand threads. So what is the answer? All of the possible alternatives require a change in the way we write programs and, currently, seem to be plagued by performance issues. Software transactional memory (STM) applies the ideas of database transactions, and optimistic concurrency control, to memory. However, working out how to break down your program into sufficiently small transactions, so as to avoid contention issues, isn't easy. Another approach is concurrency with actors, where instead of having threads share memory, each thread runs in complete isolation, and communicates with others by passing messages. It simplifies concurrent programs but still has performance issues, if the threads need to operate on the same large piece of data. There are doubtless other possible solutions that I haven't mentioned, and I would love to know to what extent you, as a developer, are considering the problem of multi-core concurrency, what solution you currently favor, and why. Cheers, Tony.

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• Interview with Tomas Ulin at the MySQL Innovation Day

  - by Monica Kumar

  MySQL Innovation Day held on June 5, 2012 was a great event for the MySQL engineers, users and customers to gather, share and network. I was able to get a few minutes with Tomas Ulin, Vice President of MySQL Engineering at Oracle, to ask him some questions. Here are the highlights of my interview with Tomas. Monica: This was the first MySQL Innovation Day, correct?  Why now, what was the strategy behind hosting this kind of event? Tomas: In the last year, we have rolled out an incredible number of MySQL events worldwide – some targeted at developers that are new to MySQL and others for the MySQL savvy. At the MySQL Innovation Day, our first event of this kind,, we had a number of our key engineers presenting lightning talks delivering previews of key new features as well as discussing roadmap. Our goal is to keep an open dialogue with the MySQL community. In fact, we are hosting a two-day conference, another first, for the MySQL community called MySQL Connect on Sept. 29-30 in San Francisco. If you attended the MySQL Innovation Day and liked what we did, you are going to love MySQL Connect. We’ll have a lot more of our engineers and many users and community members presenting hour long sessions and hands on labs. Our engineers will be presenting new MySQL features as well offer previews of upcoming enhancements. Monica: What's the big take-away from today's MySQL Innovation Day? Tomas: I hope the most important takeaway for attendees was to see that Oracle has been driving, and continues to drive MySQL innovation with a steady stream of new great GA and Development Milestone releases. Monica: What were attendees most interested in? What feedback did they have? Tomas: Feedback from attendees was incredibly positive and encouraging. In particular, they liked the interaction with the MySQL engineers and were also excited about the new early access features in MySQL 5.6 and MySQL Cluster 7.3. In addition, sessions delivered by MySQL users like Facebook, Pinterest and Twitter were very well received. For example, Pinterest talked about using MySQL to scale from 0 to billions of page views/month, Twitter talked about “Scaling twitter with MySQL” and Facebook discussed the many options to implement MySQL master failover solutions. The presentations are already available for download while some of the session videos will be made available on the MySQL Innovation Day web page shortly. Monica: How would you distinguish the use of MySQL vs. Oracle Database? What key factors should customers consider? Tomas: MySQL and Oracle Database complement each other. They are very different products, best suited to different use cases. Customers can choose world-class solutions from Oracle to fulfill a variety of needs. MySQL is a great choice for enterprise web-based, custom and embedded apps. Oracle Database is the leading choice for enterprise packaged applications such as ERP, CRM as well as high-end data warehousing and business intelligence applications. Monica: What are the highlights of the current MySQL 5.6 Development Milestone Release and early access features for MySQL Cluster 7.3? Tomas: MySQL 5.6 development milestone release builds on MySQL 5.5 by improving: Optimizer for better Performance, Scalability Performance Schema for better instrumentation InnoDB for better transactional throughput Replication for higher availability, data integrity NoSQL options for more flexibility We announced some new early access features in MySQL 5.6, including binary log group commit. We also announced early access features in MySQL Cluster 7.3 including support for foreign key constraints. Monica: How do people get these releases? Tomas: You can access development milestone releases by going to: http://dev.mysql.com/downloads/mysqlThen select the “Development Release” tab. The MySQL Cluster 7.3 and other early access features can be downloaded at: http://labs.mysql.com Monica: What's coming up next for MySQL? Tomas: Our development team is working in overdrive, cranking out new features with community feedback. Don’t miss the MySQL Connect conference being held in San Francisco on Sept. 29 and 30th. My team and I will be there. I hope you can join us! Monica: Thank you for your time, Tomas. I look forward to seeing you at the MySQL Connect conference. To our followers, I hope you found this interview informative. I welcome your comments. Please stay tuned here for more updates on MySQL. Note: Monica Kumar is Senior Director of product marketing for Linux, Virtualization and MySQL at Oracle.

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• Oracle Enterprise Data Quality: Ever Integration-ready

  - by Mala Narasimharajan

  It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:   Integration, Integration, Integration! As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box. Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated: Address verification and cleansing  Individual matching Organization matching The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.   Excerpt from EDQ’s CDS Individual Name Standardization Dictionary CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products. Here is a brief guide to the main services provided in the pack: Address Verification and Standardization EDQ’s CDS Address Cleaning Process The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically: Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API Optimization of address verification by pre-standardizing data where required Formatting of output addresses into the input address fields normally used by applications Adding descriptions of the address verification and geocoding return codes The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.     Duplicate Prevention Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits. The process is explained below: EDQ Duplicate Prevention Architecture Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit). Batch Matching In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required. When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes. The Future The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including: An out-of-the-box Data Quality Dashboard Even more comprehensive international data handling Address search (suggesting multiple results) Integrated address matching The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

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• Backing up my Windows Home Server to the Cloud&hellip;

  - by eddraper

  Ok, here’s my scenario: Windows Home Server with a little over 3TB of storage.  This includes many years of our home network’s PC backups, music, videos, etcetera. I’d like to get a backup off-site, and the existing APIs and apps such as CloudBerry Labs WHS Backup service are making it easy.  Now, all it’s down to is vendor and the cost of the actual storage.   So,  I thought I’d take a lazy Saturday morning and do some research on this and get the ball rolling.  What I discovered stunned me…   First off, the pricing for just about everything was loaded with complexity.  I learned that it wasn’t just about storage… it was about network usage, requests, sites, replication, and on and on. I really don’t see this as rocket science.  I have a disk image.  I want to put it in the cloud.  I’m not going to be be using it but once daily for incremental backups.  Sounds like a common scenario.  Yes, if “things get real” and my server goes down, I will need to bring down a lot of data and utilize a fair amount of vendor infrastructure.  However, this may never happen.  Offsite storage is an insurance policy.   The complexity of the cost structures, perhaps by design, create an environment where it’s incredibly hard to model bottom line costs and compare vendor all-up pricing.  As it is a “lazy Saturday morning,” I’m not in the mood for such antics and I decide to shirk the endeavor entirely.  Thus, I decided to simply fire up calc.exe and do some a simple arithmetic model based on price per GB.  I shuddered at the results.  Certainly something was wrong… did I misplace a decimal point?  Then I discovered CloudBerry’s own calculator.   Nope, I hadn’t misplaced those decimals after all.  Check it out (pricing based on 3174 GB):   Amazon S3 $398.00 per month $4761 per year Azure $396.75 per month $4761 per year Google $380.88 per month $4570.56 per year   Conclusion: Rampant crack smoking at vendors.  Seriously.  Out. Of. Their. Minds. Now, to Amazon’s credit, vision, and outright common sense, they had one offering which directly addresses my scenario:   Amazon Glacier $31.74 per month $380.88 per year   hmmm… It’s on the table.  Let’s see what it would cost to just buy some drives, an enclosure and cart them over to a friend’s house.   2 x 2TB Drives from NewEgg.com $199.99   Enclosure $39.99     $239.98   Carting data to back and forth to friend’s within walking distance pain   Leave drive unplugged at friend’s $0 for electricity   Possible data loss No way I can come and go every day.     I think I’ll think on this a bit more…

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• NoSQL Memcached API for MySQL: Latest Updates

  - by Mat Keep

  With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have 

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• The Complementary Roles of PLM and PIM

  - by Ulf Köster

  Oracle Product Value Chain Solutions (aka Enterprise PLM Solutions) are a comprehensive set of product management solutions that work together to provide Oracle customers with a broad array of capabilities to manage all aspects of product life: innovation, design, launch, and supply chain / commercialization processes beyond the capabilities and boundaries of traditional engineering-focused Product Lifecycle Management applications. They support companies with an integrated managed view across the product value chain: From Lab to Launch, From Farm to Fork, From Concept to Product to Customer, From Product Innovation to Product Design and Product Commercialization. Product Lifecycle Management (PLM) represents a broad suite of software solutions to improve product-oriented business processes and data. PLM success stories prove that PLM helps companies improve time to market, increase product-related revenue, reduce product costs, reduce internal costs and improve product quality. As a maturing suite of enterprise solutions, PLM is still evolving to realize the promise it can provide across all facets of a business and all phases of the product lifecycle. The vision for PLM includes everything from gathering early requirements for a product through multiple stages of the product lifecycle from product design, through commercialization and eventual product retirement or replacement. In discrete or process industries, PLM is typically more focused on Product Definition as items with respect to the technical view of a material or part, including specifications, bills of material and manufacturing data. With Agile PLM, this is specifically related to capabilities addressing Product Collaboration, Governance and Compliance, Product Quality Management, Product Cost Management and Engineering Collaboration. PLM today is mainly addressing key requirements in the early product lifecycle, in engineering changes or in the “innovation cycle”, and primarily adds value related to product design, development, launch and engineering change process. In short, PLM is the master for Product Definition, wherever manufacturing takes place. Product Information Management (PIM) is a product suite that has evolved in parallel to PLM. Product Information Management (PIM) can extend the value of PLM implementations by providing complementary tools and capabilities. More relevant in the area of Product Commercialization, the vision for PIM is to manage product information throughout an enterprise and supply chain to improve product-related knowledge management, information sharing and synchronization from multiple data sources. PIM success stories have shown the ability to provide multiple benefits, with particular emphasis on reducing information complexity and information management costs. Product Information in PIM is typically treated as the commercial view of a material or part, including sales and marketing information and categorization. PIM collects information from multiple manufacturing sites and multiple suppliers into its repository, but also provides integration tools to push the information back out to the other systems, serving as an active central repository with the aim to provide a holistic view on any product sold by a company (hence the name “Product Hub”). In short, PIM is the master of commercial Product Information. So PIM is quickly becoming mandatory because of its value in optimizing multichannel selling processes and relationships with customers, as you can see from the following table: Viewpoint PLM Current State PIM Key Benefits PIM adds to PLM Product Lifecycle Primarily R&D Front end Innovation Cycle Change process Primarily commercial / transactional state of lifecycle Provides a seamless information flow from design and manufacturing through the ultimate selling and servicing of products Data Primarily focused on “item” vs. “product” data Product structures Specifications Technical information Repository for all product information. Reaches out to entire enterprise and its various silos of product information and descriptions Provides a “trusted source” of accurate product information to the internal organization and trading partners Data Lifecycle Repository for all design iterations Historical information Released, current information, with version management and time stamping Provides a single location to track and audit historical product information Communication PLM release finished product to ERP PLM is the master for Product Definition Captures information from disparate sources, including in-house data stores Recognizes the reality of today’s data “mess” across information silos Provides the ability to package product information to its audience in the desired, relevant format to meet their exacting business requirements Departmental R&D Manufacturing Quality Compliance Procurement Strategic Marketing Focus on Marketing and Sales Gathering information from other Departments, multiple sites, multiple suppliers A singular enterprise solution that leverages existing information silos and data stores Supply Chain Multi-site internal collaboration Supplier collaboration Customer collaboration Works with customers, exchanges / data pools, and trading partners to provide relevant product information packaged the way the customer desires Provides ability to provide trading partners and internal customers with information in a manner they desire, continuously Tools Data Management Collaboration Innovation Management Cleansing Synchronization Hub functions Consistent, clean and complete commercial product information The goals of both PLM and PIM, put simply, are to help companies make more profit from their products. PLM and PIM solutions can be easily added as they share some of the same goals, while coming from two different perspectives: the definition of the product and the commercialization of the product. Both can serve as a form of product “system of record”, but take different approaches to delivering value. Oracle Product Value Chain solutions offer rich new strategies for executives to collectively leverage Agile PLM, Product Data Hub, together with Enterprise Data Quality for Products, and other industry leading Oracle applications to achieve further incremental value, like Oracle Innovation Management. This is unique on the market today.

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• Hello With Oracle Identity Manager Architecture

  - by mustafakaya

  Hi, my name is Mustafa! I'm a Senior Consultant in Fusion Middleware Team and living in Istanbul,Turkey. I worked many various Java based software development projects such as end-to-end web applications, CRM , Telco VAS and integration projects.I want to share my experiences and research about Fusion Middleware Products in this column. Customer always wants best solution from software consultants or developers. Solution will be a code snippet or change complete architecture. We faced different requests according to the case of customer. In my posts i want to discuss Fusion Middleware Products Architecture or how can extend usability with apis or UI customization and more and I look forward to engaging with you on your experiences and thoughts on this.  In my first post, i will be discussing Oracle Identity Manager architecture  and i plan to discuss Oracle Identity Manager 11g features in next posts. Oracle Identity Manager System Architecture Oracle Identity Governance includes Oracle Identity Manager,Oracle Identity Analytics and Oracle Privileged Account Manager. I will discuss Oracle Identity Manager architecture in this post.  In basically, Oracle Identity Manager is a n-tier standard  Java EE application that is deployed on Oracle WebLogic Server and uses  a database .  Oracle Identity Manager presentation tier has three different screen and two different client. Identity Self Service and Identity System Administration are web-based thin client. Design Console is a Java Swing Client that communicates directly with the Business Service Tier.  Identity Self Service provides end-user operations and delegated administration features. System Administration provides system administration functions. And Design Console mostly use for development management operations such as  create and manage adapter and process form,notification , workflow desing, reconciliation rules etc. Business service tier is implemented as an Enterprise JavaBeans(EJB) application. So you can extense Oracle Identity Manager capabilities.  -The SMPL and EJB APIs allow develop custom plug-ins such as management roles or identities.  -Identity Services allow use core business capabilites of Oracle Identity Manager such as The User provisioning or reconciliation service. -Integration Services allow develop custom connectors or adapters for various deployment needs. -Platform Services allow use Entitlement Servers, Scheduler or SOA composites. The Middleware tier allows you using capabilites ADF Faces,SOA Suites, Scheduler, Entitlement Server and BI Publisher Reports. So OIM allows you to configure workflows uses Oracle SOA Suite or define authorization policies use with Oracle Entitlement Server. Also you can customization of OIM UI without need to write code and using ADF Business Editor  you can extend custom attributes to user,role,catalog and other objects. Data tiers; Oracle Identity Manager is driven by data and metadata which provides flexibility and adaptability to Oracle Identity Manager functionlities.  -Database has five schemas these are OIM,SOA,MDS,OPSS and OES. Oracle Identity Manager uses database to store runtime and configuration data. And all of entity, transactional and audit datas are stored in database. -Metadata Store; customizations and personalizations are stored in file-based repository or database-based repository.And Oracle Identity Manager architecture,the metadata is in Oracle Identity Manager database to take advantage of some of the advanced performance and availability features that this mode provides. -Identity Store; Oracle Identity Manager provides the ability to integrate an LDAP-based identity store into Oracle Identity Manager architecture.  Oracle Identity Manager uses the human workflow module of Oracle Service Oriented Architecture Suite. OIM connects to SOA using the T3 URL which is front-end URL for the SOA server.Oracle Identity Manager uses embedded Oracle Entitlement Server for authorization checks in OIM engine.  Several Oracle Identity Manager modules use JMS queues. Each queue is processed by a separate Message Driven Bean (MDB), which is also part of the Oracle Identity Manager application. Message producers are also part of the Oracle Identity Manager application. Oracle Identity Manager uses a scheduled jobs for some activities in the background.Some of scheduled jobs come with Out-Of-Box such as the disable users after the end date of the users or you can define your custom schedule jobs with Oracle Identity Manager APIs. You can use Oracle BI Publisher for reporting Oracle Identity Manager transactions or audit data which are in database. About me: Mustafa Kaya is a Senior Consultant in Oracle Fusion Middleware Team, living in Istanbul. Before coming to Oracle, he worked in teams developing web applications and backend services at a telco company. He is a Java technology enthusiast, software engineer and addicted to learn new technologies,develop new ideas. Follow Mustafa on Twitter,Connect on LinkedIn, and visit his site for Oracle Fusion Middleware related tips.

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• Fast Data: Go Big. Go Fast.

  - by Dain C. Hansen

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 For those of you who may have missed it, today’s second full day of Oracle OpenWorld 2012 started with a rumpus. Joe Tucci, from EMC outlined the human face of big data with real examples of how big data is transforming our world. And no not the usual tried-and-true weblog examples, but real stories about taxi cab drivers in Singapore using big data to better optimize their routes as well as folks just trying to get a better hair cut. Next we heard from Thomas Kurian who talked at length about the important platform characteristics of Oracle’s Cloud and more specifically Oracle’s expanded Cloud Services portfolio. Especially interesting to our integration customers are the messaging support for Oracle’s Cloud applications. What this means is that now Oracle’s Cloud applications have a lightweight integration fabric that on-premise applications can communicate to it via REST-APIs using Oracle SOA Suite. It’s an important element to our strategy at Oracle that supports this idea that whether your requirements are for private or public, Oracle has a solution in the Cloud for all of your applications and we give you more deployment choice than any vendor. If this wasn’t enough to get the juices flowing, later that morning we heard from Hasan Rizvi who outlined in his Fusion Middleware session the four most important enterprise imperatives: Social, Mobile, Cloud, and a brand new one: Fast Data. Today, Rizvi made an important step in the definition of this term to explain that he believes it’s a convergence of four essential technology elements: Event Processing for event filtering, business rules – with Oracle Event Processing Data Transformation and Loading - with Oracle Data Integrator Real-time replication and integration – with Oracle GoldenGate Analytics and data discovery – with Oracle Business Intelligence Each of these four elements can be considered (and architect-ed) together on a single integrated platform that can help customers integrate any type of data (structured, semi-structured) leveraging new styles of big data technologies (MapReduce, HDFS, Hive, NoSQL) to process more volume and variety of data at a faster velocity with greater results.  Fast data processing (and especially real-time) has always been our credo at Oracle with each one of these products in Fusion Middleware. For example, Oracle GoldenGate continues to be made even faster with the recent 11g R2 Release of Oracle GoldenGate which gives us some even greater optimization to Oracle Database with Integrated Capture, as well as some new heterogeneity capabilities. With Oracle Data Integrator with Big Data Connectors, we’re seeing much improved performance by running MapReduce transformations natively on Hadoop systems. And with Oracle Event Processing we’re seeing some remarkable performance with customers like NTT Docomo. Check out their upcoming session at Oracle OpenWorld on Wednesday to hear more how this customer is using Event processing and Big Data together. If you missed any of these sessions and keynotes, not to worry. There's on-demand versions available on the Oracle OpenWorld website. You can also checkout our upcoming webcast where we will outline some of these new breakthroughs in Data Integration technologies for Big Data, Cloud, and Real-time in more details. /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";}

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