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• SQL SERVER – master Database Log File Grew Too Big

  - by pinaldave

  Couple of the days ago, I received following email and I find this email very interesting and I feel like sharing with all of you. Note: Please read the whole email before providing your suggestions. “Hi Pinal, If you can share these details on your blog, it will help many. We understand the value of the master database and we take its regular back up (everyday midnight). Yesterday we noticed that our master database log file has grown very large. This is very first time that we have encountered such an issue. The master database is in simple recovery mode; so we assumed that it will never grow big; however, we now have a big log file. We ran the following command USE [master] GO DBCC SHRINKFILE (N'mastlog' , 0, TRUNCATEONLY) GO We know this command will break the chains of LSN but as per our understanding; it should not matter as we are in simple recovery model.     After running this, the log file becomes very small. Just to be cautious, we took full backup of the master database right away. We totally understand that this is not the normal practice; so if you are going to tell us the same, we are aware of it. However, here is the question for you? What operation in master database would have caused our log file to grow too large? Thanks, [name and company name removed as per request]“ Here was my response to them: “Hi [name removed], It is great that you are aware of all the right steps and method. Taking full backup when you are not sure is always a good practice. Regarding your question what could have caused your master database log to grow larger, let me try to guess what could have happened. Do you have any user table in the master database? If yes, this is not recommended and also NOT a good practice. If have user tables in master database and you are doing any long operation (may be lots of insert, update, delete or rebuilding them), then it can cause this situation. You have made me curious about your scenario; do revert back. Kind Regards, Pinal” Within few minutes I received reply: “That was it Pinal. We had one of the maintenance task log tables created in the master table, which had many long transactions during the night. We moved it to newly created database named ‘maintenance’, and we will keep you updated.” I was very glad to receive the email. I do not suggest that any user table should be created in the master database. It should be left alone from user objects. Now here is the question for you – can you think of any other reason for master log file growth? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Analysis Services (SSAS) - Unexpected Internal Error when processing (ProcessUpdate). Workaround/Resolution

  - by James Rogers

  Many implementations require the use of ProcessUpdate to support Type 1 slowly changing dimensions. ProcessUpdate drops all of the affected indexes and aggregations in partitions affected by data that changes in the Dimension on which the ProcessUpdate is being performed. Twice now I have had situations where the processing fails with "Internal error: An unexpected exception occurred." Any subsequent ProcessUpdate processing will also fail with the same error. In talking with Microsoft the issue is corrupt indexes for the Dimension(s) being processed in the partitions of the affected measure group. I cannot guarantee that the following will correct your problem but it did in my case and saved us quite a bit of down time.   Workaround: ProcessIndexes on the entire cube that is being processed and throwing the error. This corrected the problem on both 2008 and 2008 R2.   Pros:  Does not require a complete rebuild of the data (ProcessFull) for either the Dimension or Cube. User access can continue while this ProcessIndexes in underway.   Cons: Can take a long time, especially on large cubes with many partitions, dimensions and/or aggregations. Query Performance is usually severely impacted due to the memory and CPU requirements for Aggregation and Index building   <Batch http://schemas.microsoft.com/analysisservices/2003/engine"http://schemas.microsoft.com/analysisservices/2003/engine">  <Parallel>     <Process xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ddl2="http://schemas.microsoft.com/analysisservices/2003/engine/2" xmlns:ddl2_2="http://schemas.microsoft.com/analysisservices/2003/engine/2/2" xmlns:ddl100_100="http://schemas.microsoft.com/analysisservices/2008/engine/100/100" xmlns:ddl200="http://schemas.microsoft.com/analysisservices/2010/engine/200" xmlns:ddl200_200="http://schemas.microsoft.com/analysisservices/2010/engine/200/200">       <Object>         <DatabaseID>MyDatabase</DatabaseID>         <CubeID>MyCube</CubeID>       </Object>       <Type>ProcessIndexes</Type>       <WriteBackTableCreation>UseExisting</WriteBackTableCreation>     </Process>  </Parallel> </Batch>   The cube where the corruption exists can be found by having Profiler running while the ProcessUpdate is executing. The first partition that displays the "The Job has ended in failure." message in the TextData column will be part of the cube/measuregroup that has the corruption. You can try to run ProcessIndexes on just that measure group. This may correct the problem and save additional time if you have other large measure groups in the cube that are not affected by the corruption.   Remember to execute your normal ProcessUpdate batch after the successful completion of the ProcessIndexes. The ProcessIndexes does not pick up data changes.   Things that did not work: ProcessClearIndexes - why this doesn't work and ProcessIndexes does is unclear at this point. ProcessFull on the partition in question. In my latest case, this would clear up the problem for that partition. However, the next partition the ProcessUpdate touched that had data in it would generate and error. This leads me to believe the corruption problem will exist in all partitions in the affected measure group that have data in them.   NOTE: I experience this problem in both a SQL 2008 and SQL 2008 R2 Analysis Services environment, on separate built from the same relational database. This leads me to believe that some data condition in the tables used for the Dimension processing caused the corruption since the two environments were on physically separate hardware. I am waiting on Microsoft to analyze the dumps to give us more insight into what actually caused the corruption and will update this post accordingly.

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• How to Create and Manage Contact Groups in Outlook 2010

  - by Mysticgeek

  If you find you’re sending emails to the same people all the time during the day, it’s tedious entering in their addresses individually. Today we take a look at creating Contact Groups to make the process a lot easier. Create Contact Groups Open Outlook and click on New Items \ More Items \ Contact Group. This opens the Contract Group window. Give your group a name, click on Add Members, and select the people you want to add from your Outlook Contacts, Address Book, or Create new ones. If you select from your address book you can scroll through and add the contacts you want. If you have a large amount of contacts you might want to search for them or use Advanced Find. If you want to add a new email contact to your group, you’ll just need to enter in their display name and email address then click OK. If you want the new member added to your Contacts list then make sure Add to Contacts is checked. After you have the contacts you want in the group, click Save & Close. Now when you compose a message you should be able to type in the name of the Contact Group you created… If you want to make sure you have everyone included in the group, click on the plus icon to expand the contacts. You will get a dialog box telling you the members of the group will be shown and you cannot collapse it again. Check the box not to see the message again then click OK. Then the members of the group will appear in the To field. Of course you can enter a Contact Group into the CC or Bcc fields as well. Add or Remove Members to a Contact Group After expanding the group you might notice some contacts aren’t included, or there is an old contact you don’t want to be in the group anymore. Click on the To button… Right-click on the Contact Group and select Properties. Now you can go ahead and Add Members… Or highlight a member and remove them…when finished click Save & Close. If you need to send emails to several of the same people, creating Contact Groups is a great way to save time by not entering them individually. If you work in for a large company, creating Contact Groups by department is a must! Similar Articles Productive Geek Tips Schedule Auto Send & Receive in Microsoft OutlookCreate An Electronic Business Card In Outlook 2007Create an Email Template in Outlook 2003Clear the Auto-Complete Email Address Cache in OutlookGet Maps and Directions to Your Contacts in Outlook 2007 TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 2010 World Cup Schedule Boot Snooze – Reboot and then Standby or Hibernate Customize Everything Related to Dates, Times, Currency and Measurement in Windows 7 Google Earth replacement Icon (Icons we like) Build Great Charts in Excel with Chart Advisor tinysong gives a shortened URL for you to post on Twitter (or anywhere)

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• How to set default xrandr settings?

  - by echo-flow

  I'm trying to enable dual monitors in Ubuntu. This is working fine, but every time I do it, desktop effects is disabled. I think I've found the reason why, though: https://wiki.ubuntu.com/X/Config/Multihead/ As with the GNOME XRandR configuration method, setting Virtual to too large a value may result in a loss of hardware acceleration, and thus an inability to use Compiz and its desktop effects. When I use the GNOME monitor applet, or the Monitors configuration in the System menu, the default xrandr settings puts the second monitor to the right of the first, and, as I found with this bug, for most monitors this creates a virtual desktop larger than the maximum 2048 horizontal resolution needed for hardware acceleration on my netbook hardware. So, it seems like if I can modify xrandr's default settings so that it places the new desktop above or below (north or south of) the main LVDS display, then hardware acceleration, and therefore compiz will continue to work. Can anyone tell me, what is the easiest way to achieve this? UPDATE: I have confirmed that multihead support with desktop effects and hardware acceleration works when I move the external monitor display north of the main LVDS display. Right now this involves the following process: plugging in the external monitor, starting the Monitors configuration menu, desktop effects are disabled automatically (and all of the windows on my workspaces are moved to the first workspace), repositioning the external display so that it is north of LVDS display and clicking apply, and then navigating to the Appearance menu and telling it to reenable desktop effects. Is there a simpler way do this? UPDATE 2: OK, so I thought that perhaps the GNOME Monitors configuration screen was trying to be clever, and might be disbling desktop effects. So, I just tried using the xrandr command-line client instead, as follows: xrandr --output VGA1 --above LVDS1 When I do that, desktop effects are still disabled, and I need to manually reenable them. This, despite the fact that hardware acceleration works, and there is never a point where hardware acceleration stops working because the horizontal dimension of the virtual display is too large. So what program is trying to be clever, and is turning off desktop effects when it doesn't need to? And how do I make it stop? If there were a way to re-enable desktop effects from the command line, which I could then put into a script along with the proper xrandr invocation, I would accept that as a workaround. UPDATE 3: OK, here's my script to enable a second monitor with desktop effects. It might be evil, I'm not sure: second-monitor.sh xrandr --output VGA1 --above LVDS1 sleep 3 compiz --replace & The sleep statement might not be necessary. If there's a better way to do this, please let me know. UPDATE 4: This is a Dell Mini Inspiron 1012. Here are my system specifications: lspci -vv 00:02.0 VGA compatible controller: Intel Corporation N10 Family Integrated Graphics Controller Subsystem: Dell Device 041a Control: I/O+ Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx+ Status: Cap+ 66MHz- UDF- FastB2B+ ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0 Interrupt: pin A routed to IRQ 29 Region 0: Memory at f0b00000 (32-bit, non-prefetchable) [size=512K] Region 1: I/O ports at 18d0 [size=8] Region 2: Memory at d0000000 (32-bit, prefetchable) [size=256M] Region 3: Memory at f0900000 (32-bit, non-prefetchable) [size=1M] Capabilities: <access denied> Kernel driver in use: i915 Kernel modules: i915 00:02.1 Display controller: Intel Corporation N10 Family Integrated Graphics Controller Subsystem: Dell Device 041a Control: I/O+ Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- Status: Cap+ 66MHz- UDF- FastB2B+ ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0 Region 0: Memory at f0b80000 (32-bit, non-prefetchable) [size=512K] Capabilities: <access denied> lsmod | grep i915 i915 287458 2 drm_kms_helper 29329 1 i915 drm 162409 3 i915,drm_kms_helper intel_agp 24375 2 i915 i2c_algo_bit 5028 1 i915 video 17375 1 i915

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• SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

  - by Brian

  Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

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• SQL SERVER – Introduction to Big Data – Guest Post

  - by pinaldave

  BIG Data – such a big word – everybody talks about this now a days. It is the word in the database world. In one of the conversation I asked my friend Jasjeet Sigh the same question – what is Big Data? He instantly came up with a very effective write-up.  Jasjeet is working as a Technical Manager with Koenig Solutions. He leads the SQL domain, and holds rich IT industry experience. Talking about Koenig, it is a 19 year old IT training company that offers several certification choices. Some of its courses include SharePoint Training, Project Management certifications, Microsoft Trainings, Business Intelligence programs, Web Design and Development courses etc. Big Data, as the name suggests, is about data that is BIG in nature. The data is BIG in terms of size, and it is difficult to manage such enormous data with relational database management systems that are quite popular these days. Big Data is not just about being large in size, it is also about the variety of the data that differs in form or type. Some examples of Big Data are given below : Scientific data related to weather and atmosphere, Genetics etc Data collected by various medical procedures, such as Radiology, CT scan, MRI etc Data related to Global Positioning System Pictures and Videos Radio Frequency Data Data that may vary very rapidly like stock exchange information Apart from difficulties in managing and storing such data, it is difficult to query, analyze and visualize it. The characteristics of Big Data can be defined by four Vs: Volume: It simply means a large volume of data that may span Petabyte, Exabyte and so on. However it also depends organization to organization that what volume of data they consider as Big Data. Variety: As discussed above, Big Data is not limited to relational information or structured Data. It can also include unstructured data like pictures, videos, text, audio etc. Velocity:  Velocity means the speed by which data changes. The higher is the velocity, the more efficient should be the system to capture and analyze the data. Missing any important point may lead to wrong analysis or may even result in loss. Veracity: It has been recently added as the fourth V, and generally means truthfulness or adherence to the truth. In terms of Big Data, it is more of a challenge than a characteristic. It is difficult to ascertain the truth out of the enormous amount of data and the one that has high velocity. There are always chances of having un-precise and uncertain data. It is a challenging task to clean such data before it is analyzed. Big Data can be considered as the next big thing in the IT sector in terms of innovation and development. If appropriate technologies are developed to analyze and use the information, it can be the driving force for almost all industrial segments. These include Retail, Manufacturing, Service, Finance, Healthcare etc. This will help them to automate business decisions, increase productivity, and innovate and develop new products. Thanks Jasjeet Singh for an excellent write up.  Jasjeet Sign is working as a Technical Manager with Koenig Solutions. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Database, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Big Data

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• New Management Console in Java SE Advanced 8u20

  - by Erik Costlow-Oracle

  Java SE 8 update 20 is a new feature release designed to provide desktop administrators with better control of their managed systems. The release notes for 8u20 are available from the public JDK release notes page. This release is not a Critical Patch Update (CPU). I would like to call attention to two noteworthy features of Oracle Java SE Advanced, the commercially supported version of Java SE for enterprises that require both support and specialized tools. The new Advanced Management Console provides a way to monitor and understand client systems at scale. It allows organizations to track usage and more easily create and manage client configuration like Deployment Rule Sets (DRS). DRS can control execution of tracked applications as well as specify compatibility of which application should use which Java SE installation. The new MSI Installer integrates into various desktop management tools, making it easier to customize and roll out different Java SE versions. Advanced Management Console The Advanced Management Console is part of Java SE Advanced designed for desktop administrators, whose users need to run many different Java applications. It provides usage tracking for those Applet & Web Start applications to help identify them for guided DRS creation. DRS can then be verified against the tracked data, to ensure that end-users can run their application against the appropriate Java version with no prompts. Usage tracking also has a different definition for Java SE than it does for most software applications. Unlike most applications where usage can be determined by a simple run-count, Java is a platform used for launching other applications. This means that usage tracking must answer both "how often is this Java SE version used" and "what applications are launched by it." Usage Tracking One piece of Java SE Advanced is a centralized usage tracker. Simply placing a properties file on the client informs systems to report information to this usage tracker, so that the desktop administrator can better understand usage. Information is sent via UDP to prevent any delay on the client. The usage tracking server resides at a central location on the intranet to collect information from those clients. The information is stored in a normalized database for performance, meaning that a single usage tracker can handle a large number of clients. Guided Deployment Rule Sets Deployment Rule Sets were introduced in Java 7 update 40 (September 2013) in order to help administrators control security prompts and guide compatibility. A previous post, Deployment Rule Sets by Example, explains how to configure a rule set so that most applications run against the most secure version but a specific applet may run against the Java version that was current several years ago. There are a different set of questions that can be asked by a desktop administrator in a large or distributed firm: Where are the Java RIAs that our users need? Which RIA needs which Java version? Which users need which Java versions? How do I verify these answers once I have them? The guided deployment rule set creation uses usage tracker data to identify applications both by certificate hash and location. After creating the rules, a comparison tool exists to verify them against the tracked data: If you intend to run an RIA, is it green? If something specific should be blocked, is it red? This makes user-testing easier. MSI Installer The Windows Installer format (MSI) provides a number of benefits for desktop administrators that customize or manage software at scale. Unlike the basic installer that most users obtain from Java.com or OTN, this installer is built around customization and integration with various desktop management products like SCCM. Desktop administrators using the MSI installer can use every feature provided by the format, such as silent installs/upgrades, low-privileged installations, or self-repair capabilities Customers looking for Java SE Advanced can download the MSI installer through their My Oracle Support (MOS) account. Java SE Advanced The new features in Java SE Advanced make it easier for desktop administrators to identify and control client installations at scale. Administrators at organizations that want either the tools or associated commercial support should consider Java SE Advanced.

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• Orchestrating the Virtual Enterprise, Part II

  - by Kathryn Perry

  A guest post by Jon Chorley, Oracle's CSO & Vice President, SCM Product Strategy Almost everyone has ordered from Amazon.com at one time or another. Our orders are as likely to be fulfilled by third parties as they are by Amazon itself. To deliver the order promptly and efficiently, Amazon has to send it to the right fulfillment location and know the availability in that location. It needs to be able to track status of the fulfillment and deal with exceptions. As a virtual enterprise, Amazon's operations, using thousands of trading partners, requires a very different approach to fulfillment than the traditional 'take an order and ship it from your own warehouse' model. Amazon had no choice but to develop a complex, expensive and custom solution to tackle this problem as there used to be no product solution available. Now, other companies who want to follow similar models have a better off-the-shelf choice -- Oracle Distributed Order Orchestration (DOO).  Consider how another of our customers is using our distributed orchestration solution. This major airplane manufacturer has a highly complex business and interacts regularly with the U.S. Government and major airlines. It sits in the middle of an intricate supply chain and needed to improve visibility across its many different entities. Oracle Fusion DOO gives the company an orchestration mechanism so it could improve quality, speed, flexibility, and consistency without requiring an organ transplant of these highly complex legacy systems. Many retailers face the challenge of dealing with brick and mortar, Web, and reseller channels. They all need to be knitted together into a virtual enterprise experience that is consistent for their customers. When a large U.K. grocer with a strong brick and mortar retail operation added an online business, they turned to Oracle Fusion DOO to bring these entities together. Disturbing the Peace with Acquisitions Quite often a company's ERP system is disrupted when it acquires a new company. An acquisition can inject a new set of processes and systems -- or even introduce an entirely new business like Sun's hardware did at Oracle. This challenge has been a driver for some of our DOO customers. A large power management company is using Oracle Fusion DOO to provide the flexibility to rapidly integrate additional products and services into its central fulfillment operation. The Flip Side of Fulfillment Meanwhile, we haven't ignored similar challenges on the supply side of the equation. Specifically, how to manage complex supply in a flexible way when there are multiple trading parties involved? How to manage the supply to suppliers? How to manage critical components that need to merge in a tier two or tier three supply chain? By investing in supply orchestration solutions for the virtual enterprise, we plan to give users better visibility into their network of suppliers to help them drive down costs. We also think this technology and full orchestration process can be applied to the financial side of organizations. An example is transactions that flow through complex internal structures to minimize tax exposure. We can help companies manage those transactions effectively by thinking about the internal organization as a virtual enterprise and bringing the same solution set to this internal challenge.  The Clear Front Runner No other company is investing in solving the virtual enterprise supply chain issues like Oracle is. Oracle is in a unique position to become the gold standard in this market space. We have the infrastructure of Oracle technology. We already have an Oracle Fusion DOO application which embraces the best of what's required in this area. And we're absolutely committed to extending our Fusion solution to other use cases and delivering even more business value. Jon ChorleyChief Sustainability Officer & Vice President, SCM Product StrategyOracle Corporation

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• maintaining a growing, diverse codebase with continuous integration

  - by Nate

  I am in need of some help with philosophy and design of a continuous integration setup. Our current CI setup uses buildbot. When I started out designing it, I inherited (well, not strictly, as I was involved in its design a year earlier) a bespoke CI builder that was tailored to run the entire build at once, overnight. After a while, we decided that this was insufficient, and started exploring different CI frameworks, eventually choosing buildbot. One of my goals in transitioning to buildbot (besides getting to enjoy all the whiz-bang extras) was to overcome some of the inadequacies of our bespoke nightly builder. Humor me for a moment, and let me explain what I have inherited. The codebase for my company is almost 150 unique c++ Windows applications, each of which has dependencies on one or more of a dozen internal libraries (and many on 3rd party libraries as well). Some of these libraries are interdependent, and have depending applications that (while they have nothing to do with each other) have to be built with the same build of that library. Half of these applications and libraries are considered "legacy" and unportable, and must be built with several distinct configurations of the IBM compiler (for which I have written unique subclasses of Compile), and the other half are built with visual studio. The code for each compiler is stored in two separate Visual SourceSafe repositories (which I am simply handling using a bunch of ShellCommands, as there is no support for VSS). Our original nightly builder simply took down the source for everything, and built stuff in a certain order. There was no way to build only a single application, or pick a revision, or to group things. It would launched virtual machines to build a number of the applications. It wasn't very robust, it wasn't distributable. It wasn't terribly extensible. I wanted to be able to overcame all of these limitations in buildbot. The way I did this originally was to create entries for each of the applications we wanted to build (all 150ish of them), then create triggered schedulers that could build various applications as groups, and then subsume those groups under an overall nightly build scheduler. These could run on dedicated slaves (no more virtual machine chicanery), and if I wanted I could simply add new slaves. Now, if we want to do a full build out of schedule, it's one click, but we can also build just one application should we so desire. There are four weaknesses of this approach, however. One is our source tree's complex web of dependencies. In order to simplify config maintenace, all builders are generated from a large dictionary. The dependencies are retrieved and built in a not-terribly robust fashion (namely, keying off of certain things in my build-target dictionary). The second is that each build has between 15 and 21 build steps, which is hard to browse and look at in the web interface, and since there are around 150 columns, takes forever to load (think from 30 seconds to multiple minutes). Thirdly, we no longer have autodiscovery of build targets (although, as much as one of my coworkers harps on me about this, I don't see what it got us in the first place). Finally, aformentioned coworker likes to constantly bring up the fact that we can no longer perform a full build on our local machine (though I never saw what that got us, either, considering that it took three times as long as the distributed build; I think he is just paranoically phobic of ever breaking the build). Now, moving to new development, we are starting to use g++ and subversion (not porting the old repository, mind you - just for the new stuff). Also, we are starting to do more unit testing ("more" might give the wrong picture... it's more like any), and integration testing (using python). I'm having a hard time figuring out how to fit these into my existing configuration. So, where have I gone wrong philosophically here? How can I best proceed forward (with buildbot - it's the only piece of the puzzle I have license to work on) so that my configuration is actually maintainable? How do I address some of my design's weaknesses? What really works in terms of CI strategies for large, (possibly over-)complex codebases?

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• Recent improvements in Console Performance

  - by loren.konkus

  Recently, the WebLogic Server development and support organizations have worked with a number of customers to quantify and improve the performance of the Administration Console in large, distributed configurations where there is significant latency in the communications between the administration server and managed servers. These improvements fall into two categories: Constraining the amount of time that the Console stalls waiting for communication Reducing and streamlining the amount of data required for an update A few releases ago, we added support for a configurable domain-wide mbean "Invocation Timeout" value on the Console's configuration: general, advanced section for a domain. The default value for this setting is 0, which means wait indefinitely and was chosen for compatibility with the behavior of previous releases. This configuration setting applies to all mbean communications between the admin server and managed servers, and is the first line of defense against being blocked by a stalled or completely overloaded managed server. Each site should choose an appropriate timeout value for their environment and network latency. In the next release of WebLogic Server, we've added an additional console preference, "Management Operation Timeout", to the Console's shared preference page. This setting further constrains how long certain console pages will wait for slowly responding servers before returning partial results. While not all Console pages support this yet, key pages such as the Servers Configuration and Control table pages and the Deployments Control pages have been updated to support this. For example, if a user requests a Servers Table page and a Management Operation Timeout occurs, the table is displayed with both local configuration and remote runtime information from the responding managed servers and only local configuration information for servers that did not yet respond. This means that a troublesome managed server does not impede your ability to manage your domain using the Console. To support these changes, these Console pages have been re-written to use the Work Management feature of WebLogic Server to interact with each server or deployment concurrently, which further improves the responsiveness of these pages. The basic algorithm for these pages is: For each configuration mbean (ie, Servers) populate rows with configuration attributes from the fast, local mbean server Find a WorkManager For each server, Create a Work instance to obtain runtime mbean attributes for the server Schedule Work instance in the WorkManager Call WorkManager.waitForAll to wait WorkItems to finish, constrained by Management Operation Timeout For each WorkItem, if the runtime information obtained was not complete, add a message indicating which server has incomplete data Display collected data in table In addition to these changes to constrain how long the console waits for communication, a number of other changes have been made to reduce the amount and scope of managed server interactions for key pages. For example, in previous releases the Deployments Control table looked at the status of a deployment on every managed server, even those servers that the deployment was not currently targeted on. (This was done to handle an edge case where a deployment's target configuration was changed while it remained running on previously targeted servers.) We decided supporting that edge case did not warrant the performance impact for all, and instead only look at the status of a deployment on the servers it is targeted to. Comprehensive status continues to be available if a user clicks on the 'status' field for a deployment. Finally, changes have been made to the System Status portlet to reduce its impact on Console page display times. Obtaining health information for this display requires several mbean interactions with managed servers. In previous releases, this mbean interaction occurred with every display, and any delay or impediment in these interactions was reflected in the display time for every page. To reduce this impact, we've made several changes in this portlet: Using Work Management to obtain health concurrently Applying the operation timeout configuration to constrain how long we will wait Caching health information to reduce the cost during rapid navigation from page to page and only obtaining new health information if the previous information is over 30 seconds old. Eliminating heath collection if this portlet is minimized. Together, these Console changes have resulted in significant performance improvements for the customers with large configurations and high latency that we have worked with during their development, and some lesser performance improvements for those with small configurations and very fast networks. These changes will be included in the 11g Rel 1 patch set 2 (10.3.3.0) release of WebLogic Server.

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• When to use Aspect Oriented Architecture (AOA/AOD)

  When is it appropriate to use aspect oriented architecture? I think the only honest answer to this question is that it depends on the context for which the question is being asked. There really are no hard and fast rules regarding the selection of an architectural model(s) for a project because each model provides good and bad benefits. Every system is built with a unique requirements and constraints. This context will dictate when to use one type of architecture over another or in conjunction with others. To me aspect oriented architecture models should be a sub-phase in the architectural modeling and design process especially when creating enterprise level models. Personally, I like to use this approach to create a base architectural model that is defined by non-functional requirements and system quality attributes.   This general model can then be used as a starting point for additional models because it is targets all of the business key quality attributes required by the system.Aspect oriented architecture is a method for modeling non-functional requirements and quality attributes of a system known as aspects. These models do not deal directly with specific functionality. They do categorize functionality of the system. This approach allows a system to be created with a strong emphasis on separating system concerns into individual components. These cross cutting components enables a systems to create with compartmentalization in regards to non-functional requirements or quality attributes.  This allows for the reduction in code because an each component maintains an aspect of a system that can be called by other aspects. This approach also allows for a much cleaner and smaller code base during the implementation and support of a system. Additionally, enabling developers to develop systems based on aspect-oriented design projects will be completed faster and will be more reliable because existing components can be shared across a system; thus, the time needed to create and test the functionality is reduced.   Example of an effective use of Aspect Oriented ArchitectureIn my experiences, aspect oriented architecture can be very effective with large or more complex systems. Typically, these types of systems have a large number of concerns so the act of defining them is very beneficial for reducing the system’s complexity because components can be developed to address each concern while exposing functionality to the other system components. The benefits to using the aspect oriented approach as the starting point for a system is that it promotes communication between IT and the business due to the fact that the aspect oriented models are quality attributes focused so not much technical understanding is needed to understand the model.An example of this can be in developing a new intranet website. Common Intranet Concerns: Error Handling Security Logging Notifications Database connectivity Example of a not as effective use of Aspect Oriented ArchitectureAgain in my experiences, aspect oriented architecture is not as effective with small or less complex systems in comparison.  There is no need to model concerns for a system that has a limited amount of them because the added overhead would not be justified for the actual benefits of creating the aspect oriented architecture model.  Furthermore, these types of projects typically have a reduced time schedule and a limited budget.  The creation of the Aspect oriented models would increase the overhead of a project and thus increase the time needed to implement the system. An example of this is seen by creating a small application to poll a network share for new files and then FTP them to a new location.  The two primary concerns for this project is to monitor a network drive and FTP files to a new location.  There is no need to create an aspect model for this system because there will never be a need to share functionality amongst either of these concerns.  To add to my point, this system is so small that it could be created with just a few classes so the added layer of componentizing the concerns would be complete overkill for this situation. References:Brichau, Johan; D'Hondt, Theo. (2006) Aspect-Oriented Software Development (AOSD) - An Introduction. Retreived from: http://www.info.ucl.ac.be/~jbrichau/courses/introductionToAOSD.pdf

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• Standards Corner: Preventing Pervasive Monitoring

  - by independentid

   Phil Hunt is an active member of multiple industry standards groups and committees and has spearheaded discussions, creation and ratifications of industry standards including the Kantara Identity Governance Framework, among others. Being an active voice in the industry standards development world, we have invited him to share his discussions, thoughts, news & updates, and discuss use cases, implementation success stories (and even failures) around industry standards on this monthly column. Author: Phil Hunt On Wednesday night, I watched NBC’s interview of Edward Snowden. The past year has been tumultuous one in the IT security industry. There has been some amazing revelations about the activities of governments around the world; and, we have had several instances of major security bugs in key security libraries: Apple's ‘gotofail’ bug  the OpenSSL Heartbleed bug, not to mention Java’s zero day bug, and others. Snowden’s information showed the IT industry has been underestimating the need for security, and highlighted a general trend of lax use of TLS and poorly implemented security on the Internet. This did not go unnoticed in the standards community and in particular the IETF. Last November, the IETF (Internet Engineering Task Force) met in Vancouver Canada, where the issue of “Internet Hardening” was discussed in a plenary session. Presentations were given by Bruce Schneier, Brian Carpenter,  and Stephen Farrell describing the problem, the work done so far, and potential IETF activities to address the problem pervasive monitoring. At the end of the presentation, the IETF called for consensus on the issue. If you know engineers, you know that it takes a while for a large group to arrive at a consensus and this group numbered approximately 3000. When asked if the IETF should respond to pervasive surveillance attacks? There was an overwhelming response for ‘Yes'. When it came to 'No', the room echoed in silence. This was just the first of several consensus questions that were each overwhelmingly in favour of response. This is the equivalent of a unanimous opinion for the IETF. Since the meeting, the IETF has followed through with the recent publication of a new “best practices” document on Pervasive Monitoring (RFC 7258). This document is extremely sensitive in its approach and separates the politics of monitoring from the technical ones. Pervasive Monitoring (PM) is widespread (and often covert) surveillance through intrusive gathering of protocol artefacts, including application content, or protocol metadata such as headers. Active or passive wiretaps and traffic analysis, (e.g., correlation, timing or measuring packet sizes), or subverting the cryptographic keys used to secure protocols can also be used as part of pervasive monitoring. PM is distinguished by being indiscriminate and very large scale, rather than by introducing new types of technical compromise. The IETF community's technical assessment is that PM is an attack on the privacy of Internet users and organisations. The IETF community has expressed strong agreement that PM is an attack that needs to be mitigated where possible, via the design of protocols that make PM significantly more expensive or infeasible. Pervasive monitoring was discussed at the technical plenary of the November 2013 IETF meeting [IETF88Plenary] and then through extensive exchanges on IETF mailing lists. This document records the IETF community's consensus and establishes the technical nature of PM. The draft goes on to further qualify what it means by “attack”, clarifying that  The term is used here to refer to behavior that subverts the intent of communicating parties without the agreement of those parties. An attack may change the content of the communication, record the content or external characteristics of the communication, or through correlation with other communication events, reveal information the parties did not intend to be revealed. It may also have other effects that similarly subvert the intent of a communicator.  The past year has shown that Internet specification authors need to put more emphasis into information security and integrity. The year also showed that specifications are not good enough. The implementations of security and protocol specifications have to be of high quality and superior testing. I’m proud to say Oracle has been a strong proponent of this, having already established its own secure coding practices. 

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• Resolve SRs Faster Using RDA - Find the Right Profile

  - by Daniel Mortimer

  Introduction Remote Diagnostic Agent (RDA) is an excellent command-line data collection tool that can aid troubleshooting / problem solving. The tool covers the majority of Oracle's vast product range, and its data collection capability is comprehensive. RDA collects data about the operating system and environment, including environment variable, kernel settings network o/s performance o/s patches and much more the Oracle Products installed, including patches logs and debug metrics configuration and much more In effect, RDA can obtain a snapshot of an Oracle Product and its environment. Oracle Support encourages the use of RDA because it greatly reduces service request resolution time by minimizing the number of requests from Oracle Support for more information. RDA is designed to be as unobtrusive as possible; it does not modify systems in any way. It collects useful data for Oracle Support only and a security filter is provided if required. Find and Use the Right RDA Profile One problem of any tool / utility, which covers a large range of products, is knowing how to target it against only the products you wish to troubleshoot. RDA does not have a GUI. Nor does RDA have an intelligent mechanism for detecting and automatically collecting data only for those Oracle products installed. Instead, you have to tell RDA what to do. There is a mind boggling large number of RDA data collection modules which you can configure RDA to use. It is easier, however, to setup RDA to use a "Profile". A profile consists of a list of data collection modules and predefined settings. As such profiles can be used to diagnose a problem with a particular product or combination of products. How to run RDA with a profile? ( <rda> represents the command you selected to run RDA (for example, rda.pl, rda.cmd, rda.sh, and perl rda.pl).) 1. Use the embedded spreadsheet to find the RDA profile which is appropriate for your problem / chosen Oracle Fusion Middleware products. 2. Use the following command to perform the setup <rda> -S -p <profile_name>  3. Run the data collection <rda> Run the data collection. If you want to perform setup and run in one go, then use a command such as the following: <rda> -vnSCRP -p <profile name> For more information, refer to: Remote Diagnostic Agent (RDA) 4 - Profile Manual Pages [ID 391983.1] Additional Hints / Tips: 1. Be careful! Profile names are case sensitive.2. When profiles are not used, RDA considers all existing modules by default. For example, if you have downloaded RDA for the first time and run the command <rda> -S you will see prompts for every RDA collection module many of which will be of no interest to you. Also, you may, in your haste to work through all the questions, forget to say "Yes" to the collection of data that is pertinent to your particular problem or product. Profiles avoid such tedium and help ensure the right data is collected at the first time of asking.

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• VirtualBox 3.2 is released! A Red Letter Day?

  - by Fat Bloke

  Big news today! A new release of VirtualBox packed full of innovation and improvements. Over the next few weeks we'll take a closer look at some of these new features in a lot more depth, but today we'll whet your appetite with the headline descriptions. To start with, we should point out that this is the first Oracle-branded version which makes today a real Red-letter day ;-)  Oracle VM VirtualBox 3.2 Version 3.2 moves VirtualBox forward in 3 main areas ( handily, all beginning with "P" ) : performance, power and supported guest operating system platforms.  Let's take a look: Performance New Latest Intel hardware support - Harnessing the latest in chip-level support for virtualization, VirtualBox 3.2 supports new Intel Core i5 and i7 processor and Intel Xeon processor 5600 Series support for Unrestricted Guest Execution bringing faster boot times for everything from Windows to Solaris guests; New Large Page support - Reducing the size and overhead of key system resources, Large Page support delivers increased performance by enabling faster lookups and shorter table creation times. New In-hypervisor Networking - Significant optimization of the networking subsystem has reduced context switching between guests and host, increasing network throughput by up to 25%. New New Storage I/O subsystem - VirtualBox 3.2 offers a completely re-worked virtual disk subsystem which utilizes asynchronous I/O to achieve high-performance whilst maintaining high data integrity; New Remote Video Acceleration - The unique built-in VirtualBox Remote Display Protocol (VRDP), which is primarily used in virtual desktop infrastructure deployments, has been enhanced to deliver video acceleration. This delivers a rich user experience coupled with reduced computational expense, which is vital when servers are running hundreds of virtual machines; Power New Page Fusion - Traditional Page Sharing techniques have suffered from long and expensive cache construction as pages are scrutinized as candidates for de-duplication. Taking a smarter approach, VirtualBox Page Fusion uses intelligence in the guest virtual machine to determine much more rapidly and accurately those pages which can be eliminated thereby increasing the capacity or vm density of the system; New Memory Ballooning- Ballooning provides another method to increase vm density by allowing the memory of one guest to be recouped and made available to others; New Multiple Virtual Monitors - VirtualBox 3.2 now supports multi-headed virtual machines with up to 8 virtual monitors attached to a guest. Each virtual monitor can be a host window, or be mapped to the hosts physical monitors; New Hot-plug CPU's - Modern operating systems such Windows Server 2008 x64 Data Center Edition or the latest Linux server platforms allow CPUs to be dynamically inserted into a system to provide incremental computing power while the system is running. Version 3.2 introduces support for Hot-plug vCPUs, allowing VirtualBox virtual machines to be given more power, with zero-downtime of the guest; New Virtual SAS Controller - VirtualBox 3.2 now offers a virtual SAS controller, enabling it to run the most demanding of high-end guests; New Online Snapshot Merging - Snapshots are powerful but can eat up disk space and need to be pruned from time to time. Historically, machines have needed to be turned off to delete or merge snapshots but with VirtualBox 3.2 this operation can be done whilst the machines are running. This allows sophisticated system management with minimal interruption of operations; New OVF Enhancements - VirtualBox has supported the OVF standard for virtual machine portability for some time. Now with 3.2, VirtualBox specific configuration data is also stored in the standard allowing richer virtual machine definitions without compromising portability; New Guest Automation - The Guest Automation APIs allow host-based logic to drive operations in the guest; Platforms New USB Keyboard and Mouse - Support more guests that require USB input devices; New Oracle Enterprise Linux 5.5 - Support for the latest version of Oracle's flagship Linux platform; New Ubuntu 10.04 ("Lucid Lynx") - Support for both the desktop and server version of the popular Ubuntu Linux distribution; And as a man once said, "just one more thing" ... New Mac OS X (experimental) - On Apple hardware only, support for creating virtual machines run Mac OS X. All in all this is a pretty powerful release packed full of innovation and speedups. So what are you waiting for?  -FB 

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• Does your analytic solution tell you what questions to ask?

  - by Manan Goel

  Analytic solutions exist to answer business questions. Conventional wisdom holds that if you can answer business questions quickly and accurately, you can take better business decisions and therefore achieve better business results and outperform the competition. Most business questions are well understood (read structured) so they are relatively easy to ask and answer. Questions like what were the revenues, cost of goods sold, margins, which regions and products outperformed/underperformed are relatively well understood and as a result most analytics solutions are well equipped to answer such questions. Things get really interesting when you are looking for answers but you don’t know what questions to ask in the first place? That’s like an explorer looking to make new discoveries by exploration. An example of this scenario is the Center of Disease Control (CDC) in United States trying to find the vaccine for the latest strand of the swine flu virus. The researchers at CDC may try hundreds of options before finally discovering the vaccine. The exploration process is inherently messy and complex. The process is fraught with false starts, one question or a hunch leading to another and the final result may look entirely different from what was envisioned in the beginning. Speed and flexibility is the key; speed so the hundreds of possible options can be explored quickly and flexibility because almost everything about the problem, solutions and the process is unknown.  Come to think of it, most organizations operate in an increasingly unknown or uncertain environment. Business Leaders have to take decisions based on a largely unknown view of the future. And since the value proposition of analytic solutions is to help the business leaders take better business decisions, for best results, consider adding information exploration and discovery capabilities to your analytic solution. Such exploratory analysis capabilities will help the business leaders perform even better by empowering them to refine their hunches, ask better questions and take better decisions. That’s your analytic system not only answering the questions but also suggesting what questions to ask in the first place. Today, most leading analytic software vendors offer exploratory analysis products as part of their analytic solutions offerings. So, what characteristics should be top of mind while evaluating the various solutions? The answer is quite simply the same characteristics that are essential for exploration and analysis – speed & flexibility. Speed is required because the system inherently has to be agile to handle hundreds of different scenarios with large volumes of data across large user populations. Exploration happens at the speed of thought so make sure that you system is capable of operating at speed of thought. Flexibility is required because the exploration process from start to finish is full of unknowns; unknown questions, answers and hunches. So, make sure that the system is capable of managing and exploring all relevant data – structured or unstructured like databases, enterprise applications, tweets, social media updates, documents, texts, emails etc. and provides flexible Google like user interface to quickly explore all relevant data. Getting Started You can help business leaders become “Decision Masters” by augmenting your analytic solution with information discovery capabilities. For best results make sure that the solution you choose is enterprise class and allows advanced, yet intuitive, exploration and analysis of complex and varied data including structured, semi-structured and unstructured data.  You can learn more about Oracle’s exploratory analysis solutions by clicking here.

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• Tessellation Texture Coordinates

  - by Stuart Martin

  Firstly some info - I'm using DirectX 11 , C++ and I'm a fairly good programmer but new to tessellation and not a master graphics programmer. I'm currently implementing a tessellation system for a terrain model, but i have reached a snag. My current system produces a terrain model from a height map complete with multiple texture coordinates, normals, binormals and tangents for rendering. Now when i was using a simple vertex and pixel shader combination everything worked perfectly but since moving to include a hull and domain shader I'm slightly confused and getting strange results. My terrain is a high detail model but the textured results are very large patches of solid colour. My current setup passes the model data into the vertex shader then through the hull into the domain and then finally into the pixel shader for use in rendering. My only thought is that in my hull shader i pass the information into the domain shader per patch and this is producing the large areas of solid colour because each patch has identical information. Lighting and normal data are also slightly off but not as visibly as texturing. Below is a copy of my hull shader that does not work correctly because i think the way that i am passing the data through is incorrect. If anyone can help me out but suggesting an alternative way to get the required data into the pixel shader? or by showing me the correct way to handle the data in the hull shader id be very thankful! cbuffer TessellationBuffer { float tessellationAmount; float3 padding; }; struct HullInputType { float3 position : POSITION; float2 tex : TEXCOORD0; float3 normal : NORMAL; float3 tangent : TANGENT; float3 binormal : BINORMAL; float2 tex2 : TEXCOORD1; }; struct ConstantOutputType { float edges[3] : SV_TessFactor; float inside : SV_InsideTessFactor; }; struct HullOutputType { float3 position : POSITION; float2 tex : TEXCOORD0; float3 normal : NORMAL; float3 tangent : TANGENT; float3 binormal : BINORMAL; float2 tex2 : TEXCOORD1; float4 depthPosition : TEXCOORD2; }; ConstantOutputType ColorPatchConstantFunction(InputPatch<HullInputType, 3> inputPatch, uint patchId : SV_PrimitiveID) { ConstantOutputType output; output.edges[0] = tessellationAmount; output.edges[1] = tessellationAmount; output.edges[2] = tessellationAmount; output.inside = tessellationAmount; return output; } [domain("tri")] [partitioning("integer")] [outputtopology("triangle_cw")] [outputcontrolpoints(3)] [patchconstantfunc("ColorPatchConstantFunction")] HullOutputType ColorHullShader(InputPatch<HullInputType, 3> patch, uint pointId : SV_OutputControlPointID, uint patchId : SV_PrimitiveID) { HullOutputType output; output.position = patch[pointId].position; output.tex = patch[pointId].tex; output.tex2 = patch[pointId].tex2; output.normal = patch[pointId].normal; output.tangent = patch[pointId].tangent; output.binormal = patch[pointId].binormal; return output; } Edited to include the domain shader:- [domain("tri")] PixelInputType ColorDomainShader(ConstantOutputType input, float3 uvwCoord : SV_DomainLocation, const OutputPatch<HullOutputType, 3> patch) { float3 vertexPosition; PixelInputType output; // Determine the position of the new vertex. vertexPosition = uvwCoord.x * patch[0].position + uvwCoord.y * patch[1].position + uvwCoord.z * patch[2].position; output.position = mul(float4(vertexPosition, 1.0f), worldMatrix); output.position = mul(output.position, viewMatrix); output.position = mul(output.position, projectionMatrix); output.depthPosition = output.position; output.tex = patch[0].tex; output.tex2 = patch[0].tex2; output.normal = patch[0].normal; output.tangent = patch[0].tangent; output.binormal = patch[0].binormal; return output; }

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• Attending a Career Fair: &ldquo;Don&rsquo;t be shy &ndash; Be prepared&rdquo;

  - by jessica.ebbelaar

  There are a large number of ways to interact with companies nowadays. The career fair is a very effective and personal way to interact with a number of different companies in a very short period of time. Here are some simple tips to help you perform during a career fair. Do research The key to being successful at a career fair is to do research before you go. Make a first selection of the companies you feel could be interesting for you. Include many types of employers. Once you have decided on the list of companies you want to visit, go to their career portal. Inform yourself about what the company does, i.e what roles there are available, how the company culture is described, what impression the testimonials give you. The question that you still have after reviewing this information, are the ones you can discuss with the company on the fair. Sell yourself Visit the companies you have on your top 5 list first, so you will be at your highest energy level to make that first impression. Think in advance about what you are going to tell the recruiter. Prepare a 30-second introduction (including degree, strengths, skills & experience) Be confident when you talk about your experience. Remember to start the conversation with a smile, make good eye contact and give a firm handshake. You could be speaking to your next manager, so be professional! If you already know what jobs you are interested in, relate your skills and experience to the roles that the company has available. If you are not yet sure gather as much information as you can about employment and/or hiring procedures, specific skills necessary for different jobs, training and career paths. Stand out As career fairs are very crowded and the attending companies meet with a lot of potential candidates on one day, you have to make sure you are noticed in a positive way. A good preparation and asking questions that show you have a good understanding of the industry, organization and roles will help you. Be aware of time demands on employers. Do not monopolize an employer's time. Dress appropriately to make a good first impression. Bring your resume Do not forget to bring your resume in print or on a USB-stick to the fair. If you are searching for different types of jobs, bring different versions of your resume. Your resume should be short and professional on white paper that is free of graphics or fancy print styles and containing larger margins for interviewer notes. Follow up After each conversation ask who you can contact for follow-up discussions about the specific roles. Use the back of a business card to record notes that help you remember important details and follow-up instructions. If no card is available, record the contact information and your comments in your notepad or phone. Last but not least, thank everyone you talk to for their time. Follow up as soon as possible with thank you notes that address the companies’ hiring needs, your qualifications, and express your desire for a second interview. What not to do… Do not visit a company with a group of friends. Interact with the companies on your own, to make your own positive impression. Do not walk up to a recruiter and interrupt a current conversation; wait your turn and be polite. What you should absolutely avoid is a grab and run on freebies! Take the time to speak to the company and ask for a freebie at the end of the conversation in case they are not offered to you. Good luck with the preparations for the career fair you will attend. Oracle recruiters look forward to meet you! They will be present on a large number of fairs in the region. For an overview of the fairs go to the Events & Calendar page on http://campus.oracle.com If you have any questions related to this article feel free to contact [email protected].

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• Learn Many Languages

  - by Phil Factor

  Around twenty-five years ago, I was trying to solve the problem of recruiting suitable developers for a large business. I visited the local University (it was a Technical College then). My mission was to remind them that we were a large, local employer of technical people and to suggest that, as they were in the business of educating young people for a career in IT, we should work together. I anticipated a harmonious chat where we could suggest to them the idea of mentioning our name to some of their graduates. It didn’t go well. The academic staff displayed a degree of revulsion towards the whole topic of IT in the world of commerce that surprised me; tweed met charcoal-grey, trainers met black shoes. However, their antipathy to commerce was something we could have worked around, since few of their graduates were destined for a career as university lecturers. They asked me what sort of language skills we needed. I tried ducking the invidious task of naming computer languages, since I wanted recruits who were quick to adapt and learn, with a broad understanding of IT, including development methodologies, technologies, and data. However, they pressed the point and I ended up saying that we needed good working knowledge of C and BASIC, though FORTRAN and COBOL were, at the time, still useful. There was a ghastly silence. It was as if I’d recommended the beliefs and practices of the Bogomils of Bulgaria to a gathering of Cardinals. They stared at me severely, like owls, until the head of department broke the silence, informing me in clipped tones that they taught only Modula 2. Now, I wouldn’t blame you if at this point you hurriedly had to look up ‘Modula 2′ on Wikipedia. Based largely on Pascal, it was a specialist language for embedded systems, but I’ve never ever come across it in a commercial business application. Nevertheless, it was an excellent teaching language since it taught modules, scope control, multiprogramming and the advantages of encapsulating a set of related subprograms and data structures. As long as the course also taught how to transfer these skills to other, more useful languages, it was not necessarily a problem. I said as much, but they gleefully retorted that the biggest local employer, a defense contractor specializing in Radar and military technology, used nothing but Modula 2. “Why teach any other programming language when they will be using Modula 2 for all their working lives?” said a complacent lecturer. On hearing this, I made my excuses and left. There could be no meeting of minds. They were providing training in a specific computer language, not an education in IT. Twenty years later, I once more worked nearby and regularly passed the long-deserted ‘brownfield’ site of the erstwhile largest local employer; the end of the cold war had led to lean times for defense contractors. A digger was about to clear the rubble of the long demolished factory along with the accompanying growth of buddleia and thistles, in order to lay the infrastructure for ‘affordable housing’. Modula 2 was a distant memory. Either those employees had short working lives or they’d retrained in other languages. The University, by contrast, was thriving, but I wondered if their erstwhile graduates had ever cursed the narrow specialization of their training in IT, as they struggled with the unexpected variety of their subsequent careers.

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• The Best Data Integration for Exadata Comes from Oracle

  - by maria costanzo

  Oracle Data Integrator and Oracle GoldenGate offer unique and optimized data integration solutions for Oracle Exadata. For example, customers that choose to feed their data warehouse or reporting database with near real-time throughout the day, can do so without decreasing  performance or availability of source and target systems. And if you ask why real-time, the short answer is: in today’s fast-paced, always-on world, business decisions need to use more relevant, timely data to be able to act fast and seize opportunities. A longer response to "why real-time" question can be found in a related blog post. If we look at the solution architecture, as shown on the diagram below,  Oracle Data Integrator and Oracle GoldenGate are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components. Oracle Data Integrator (ODI) is the best bulk data loading solution for Exadata. ODI is the only ETL platform that can leverage the full power of Exadata, integrate directly on the Exadata machine without any additional hardware, and by far provides the simplest setup and fastest overall performance on an Exadata system. We regularly see customers achieving a 5-10 times boost when they move their ETL to ODI on Exadata. For  some companies the performance gain is even much higher. For example a large insurance company did a proof of concept comparing ODI vs a traditional ETL tool (one of the market leaders) on Exadata. The same process that was taking 5hrs and 11 minutes to complete using the competing ETL product took 7 minutes and 20 seconds with ODI. Oracle Data Integrator was 42 times faster than the conventional ETL when running on Exadata.This shows that Oracle's own data integration offering helps you to gain the most out of your Exadata investment with a truly optimized solution. GoldenGate is the best solution for streaming data from heterogeneous sources into Exadata in real time. Oracle GoldenGate can also be used together with Data Integrator for hybrid use cases that also demand non-invasive capture, high-speed real time replication. Oracle GoldenGate enables real-time data feeds from heterogeneous sources non-invasively, and delivers to the staging area on the target Exadata system. ODI runs directly on Exadata to use the database engine power to perform in-database transformations. Enterprise Data Quality is integrated with Oracle Data integrator and enables ODI to load trusted data into the data warehouse tables. Only Oracle can offer all these technical benefits wrapped into a single intelligence data warehouse solution that runs on Exadata. Compared to traditional ETL with add-on CDC this solution offers: §  Non-invasive data capture from heterogeneous sources and avoids any performance impact on source §  No mid-tier; set based transformations use database power §  Mini-batches throughout the day –or- bulk processing nightly which means maximum availability for the DW §  Integrated solution with Enterprise Data Quality enables leveraging trusted data in the data warehouse In addition to Starwood Hotels and Resorts, Morrison Supermarkets, United Kingdom’s fourth-largest food retailer, has seen the power of this solution for their new BI platform and shared their story with us. Morrisons needed to analyze data across a large number of manufacturing, warehousing, retail, and financial applications with the goal to achieve single view into operations for improved customer service. The retailer deployed Oracle GoldenGate and Oracle Data Integrator to bring new data into Oracle Exadata in near real-time and replicate the data into reporting structures within the data warehouse—extending visibility into operations. Using Oracle's data integration offering for Exadata, Morrisons produced financial reports in seconds, rather than minutes, and improved staff productivity and agility. You can read more about Morrison’s success story here and hear from Starwood here. From an Irem Radzik article.

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• WebCenter Customer Spotlight: Hyundai Motor Company

  - by me

  Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryHyundai Motor Company is one of the world’s fastest-growing car manufacturers, ranked as the fifth-largest in 2011. The company also operates the world’s largest integrated automobile manufacturing facility in Ulsan, Republic of Korea, which can produce 1.6 million units per year. They  undertook a project to improve business efficiency and reinforce data security by centralizing the company’s sales, financial, and car manufacturing documents into a single repository. Hyundai Motor Company chose Oracle Exalogic, Oracle Exadata, Oracle WebLogic Sever, and Oracle WebCenter Content 11g, as they provided better performance, stability, storage, and scalability than their competitors.  Hyundai Motor Company cut the overall time spent each day on document-related work by around 85%, saved more than US$1 million in paper and printing costs, laid the foundation for a smart work environment, and supported their future growth in the competitive car industry. Company OverviewHyundai Motor Company is one of the world’s fastest-growing car manufacturers, ranked as the fifth-largest in 2011. The company also operates the world’s largest integrated automobile manufacturing facility in Ulsan, Republic of Korea, which can produce 1.6 million units per year. The company strives to enhance its brand image and market recognition by continuously improving the quality and design of its cars. Business Challenges To maximize the company’s growth potential, Hyundai Motor Company undertook a project to improve business efficiency and reinforce data security by centralizing the company’s sales, financial, and car manufacturing documents into a single repository. Specifically, they wanted to: Introduce a smart work environment to improve staff productivity and efficiency, and take advantage of rapid company growth due to new, enhanced car designs Replace a legacy document system managed by individual staff to improve collaboration, the visibility of corporate documents, and sharing of work-related files between employees Improve the security and storage of documents containing corporate intellectual property, and prevent intellectual property loss when staff leaves the company Eliminate delays when downloading files from the central server to a PC Build a large, single document repository to more efficiently manage and share data between 30,000 staff at the company’s headquarters Establish a scalable system that can be extended to Hyundai offices around the world Solution DeployedAfter conducting a large-scale benchmark test, Hyundai Motor Company chose Oracle Exalogic, Oracle Exadata, Oracle WebLogic Sever, and Oracle WebCenter Content 11g, as they provided better performance, stability, storage, and scalability than their competitors. Business Results Lowered the overall time spent each day on all document-related work by approximately 85%—from 4.5 hours to around 42 minutes on an average day Saved more than US$1 million per year in printer, paper, and toner costs, and laid the foundation for a completely paperless environment Reduced staff’s time spent requesting and receiving documents about car sales or designs from supervisors by 50%, by storing and managing all documents across the corporation in a single repository Cut the time required to draft new-car manufacturing, sales, and design documents by 20%, by allowing employees to reference high-quality data, such as marketing strategy and product planning documents already in the system Enhanced staff productivity at company headquarters by 9% by reducing the document-related tasks of 30,000 administrative and research and development staff Ensured the system could scale to hold 3 petabytes of car sales, manufacturing, and design data by 2013 and be deployed at branches worldwide We chose Oracle Exalogic, Oracle Exadata, and Oracle WebCenter Content to support our new document-centralization system over their competitors as Oracle offers stable storage for petabytes of data and high processing speeds. We have cut the overall time spent each day on document-related work by around 85%, saved more than US$1 million in paper and printing costs, laid the foundation for a smart work environment, and supported our future growth in the competitive car industry. Kang Tae-jin, Manager, General Affairs Team, Hyundai Motor Company Additional Information Hyundai Motor Company Customer Snapshot Oracle WebCenter Content

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• Musings on the launch of SQL Monitor

  - by Phil Factor

  For several years, I was responsible for the smooth running of a large number of enterprise database servers. We ran a network monitoring tool that was primitive by today’s standards but which performed the useful function of polling every system, including all the Servers in my charge. It ran a configurable script for each service that you needed to monitor that was merely required to return one of a number of integer values. These integer values represented the pain level of the service, from 10 (“hurtin’ real bad”) to 1 (“Things is great”). Not only could you program the visual appearance of each server on the network diagram according to the value of the integer, but you could even opt to run a sound file. Very soon, we had a large TFT Screen, high on the wall of the server room, with every server represented by an icon, and a speaker next to it that would give out a series of grunts, groans, snores, shrieks and funeral marches, depending on the problem. One glance at the display, and you could dive in with iSQL/QA/SSMS and check what was going on with your favourite diagnostic tools. If you saw a server icon burst into flames on the screen or droop like a jelly, you dropped your mug of coffee to do it.  It was real fun, but I remember it more for the huge difference it made to have that real-time visibility into how your servers are performing. The management soon stopped making jokes about the real reason we wanted the TFT screen. (It rendered DVDs beautifully they said; particularly flesh-tints). If you are instantly alerted when things start to go wrong, then there was a good chance you could fix it before being alerted to the problem by the users of the system.  There is a world of difference between this sort of tool, one that gives whoever is ‘on watch’ in the server room the first warning of a potential problem on one of any number of servers, and the breed of tool that attempts to provide some sort of prosthetic DBA Brain. I like to get the early warning, to get the right information to help to diagnose a problem: No auto-fix, but just the information. I prefer to leave the task of ascertaining the exact cause of a problem to my own routines, custom code, intuition and forensic instincts. A simulated aircraft cockpit doesn’t do anything for me, especially before I know where I should be flying.  Time has moved on, and that TFT screen is now, with SQL Monitor, an iPad or any other mobile or static device that can support a browser. Rather than trying to reproduce the conceptual topology of the servers, it lists them in their groups so as to give a display that scales with the increasing number of databases you monitor.  It gives the history of the major events and trends for the servers. It gives the icons and colours that you can spot out of the corner of your eye, but goes on to give you just enough information in drill-down to give you a much clearer idea of where to look with your DBA tools and routines. It doesn't swamp you with information.  Whereas a few server and database-level problems are pretty easily fixed, others depend on judgement and experience to sort out.  Although the idea of an application that automates the bulk of a DBA’s skills is attractive to many, I can’t see it happening soon. SQL Server’s complexity increases faster than the panaceas can be created. In the meantime, I believe that the best way of helping  DBAs  is to make the monitoring process as simple and effective as possible,  and provide the right sort of detail and ‘evidence’ to allow them to decide on the fix. In the end, it is still down to the skill of the DBA.

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• Observing flow control idle time in TCP

  - by user12820842

  Previously I described how to observe congestion control strategies during transmission, and here I talked about TCP's sliding window approach for handling flow control on the receive side. A neat trick would now be to put the pieces together and ask the following question - how often is TCP transmission blocked by congestion control (send-side flow control) versus a zero-sized send window (which is the receiver saying it cannot process any more data)? So in effect we are asking whether the size of the receive window of the peer or the congestion control strategy may be sub-optimal. The result of such a problem would be that we have TCP data that we could be transmitting but we are not, potentially effecting throughput. So flow control is in effect: when the congestion window is less than or equal to the amount of bytes outstanding on the connection. We can derive this from args[3]-tcps_snxt - args[3]-tcps_suna, i.e. the difference between the next sequence number to send and the lowest unacknowledged sequence number; and when the window in the TCP segment received is advertised as 0 We time from these events until we send new data (i.e. args[4]-tcp_seq = snxt value when window closes. Here's the script: #!/usr/sbin/dtrace -s #pragma D option quiet tcp:::send / (args[3]-tcps_snxt - args[3]-tcps_suna) = args[3]-tcps_cwnd / { cwndclosed[args[1]-cs_cid] = timestamp; cwndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); } tcp:::send / cwndclosed[args[1]-cs_cid] && args[4]-tcp_seq = cwndsnxt[args[1]-cs_cid] / { @meantimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = avg(timestamp - cwndclosed[args[1]-cs_cid]); @stddevtimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = stddev(timestamp - cwndclosed[args[1]-cs_cid]); @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); cwndclosed[args[1]-cs_cid] = 0; cwndsnxt[args[1]-cs_cid] = 0; } tcp:::receive / args[4]-tcp_window == 0 && (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { swndclosed[args[1]-cs_cid] = timestamp; swndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["swnd", args[2]-ip_saddr, args[4]-tcp_dport] = count(); } tcp:::send / swndclosed[args[1]-cs_cid] && args[4]-tcp_seq = swndsnxt[args[1]-cs_cid] / { @meantimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = avg(timestamp - swndclosed[args[1]-cs_cid]); @stddevtimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = stddev(timestamp - swndclosed[args[1]-cs_cid]); swndclosed[args[1]-cs_cid] = 0; swndsnxt[args[1]-cs_cid] = 0; } END { printf("%-6s %-20s %-8s %-25s %-8s %-8s\n", "Window", "Remote host", "Port", "TCP Avg WndClosed(ns)", "StdDev", "Num"); printa("%-6s %-20s %-8d %@-25d %@-8d %@-8d\n", @meantimeclosed, @stddevtimeclosed, @numclosed); } So this script will show us whether the peer's receive window size is preventing flow ("swnd" events) or whether congestion control is limiting flow ("cwnd" events). As an example I traced on a server with a large file transfer in progress via a webserver and with an active ssh connection running "find / -depth -print". Here is the output: ^C Window Remote host Port TCP Avg WndClosed(ns) StdDev Num cwnd 10.175.96.92 80 86064329 77311705 125 cwnd 10.175.96.92 22 122068522 151039669 81 So we see in this case, the congestion window closes 125 times for port 80 connections and 81 times for ssh. The average time the window is closed is 0.086sec for port 80 and 0.12sec for port 22. So if you wish to change congestion control algorithm in Oracle Solaris 11, a useful step may be to see if congestion really is an issue on your network. Scripts like the one posted above can help assess this, but it's worth reiterating that if congestion control is occuring, that's not necessarily a problem that needs fixing. Recall that congestion control is about controlling flow to prevent large-scale drops, so looking at congestion events in isolation doesn't tell us the whole story. For example, are we seeing more congestion events with one control algorithm, but more drops/retransmission with another? As always, it's best to start with measures of throughput and latency before arriving at a specific hypothesis such as "my congestion control algorithm is sub-optimal".

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• OpenWorld: Our (Road) Maps are Looking Good!

  - by Tony Berk

  Wow, only one (or two) days down at Oracle OpenWorld! Are you on overload yet? I'm still trying to figure out how to be in 3 sessions at the same time... I guess everyone needs to prioritize! There was a lot to see in Monday's sessions, especially some great forward-looking roadmap sessions. In case you aren't here or you decided to go to other sessions, this is my quick summary of what I could capture from a couple of the roadmaps: In the Fusion CRM Strategy and Roadmap session, Anthony Lye provided an overview of the Fusion CRM strategy including the key design principles of 3 E's: Easy, Effective and Efficient. After an overview of how Oracle has deployed Fusion CRM internally to 25,000 users worldwide, Anthony discussed the features coming in the next release, the releases in the next 12 months and beyond. I can't detail too much since you haven't read Oracle's Safe Harbor statement, but check out Fusion Tap and look for new features and added functionality for sales prediction, marketing, social and integration with a number of the key Customer Experience products.  In the Oracle RightNow CX Cloud Service Vision and Roadmap session, Chris Hamilton presented the focus areas for the RightNow product. As a result of the large increase in development resources after the acquisition, the RightNow CX team is planning a lot of enhancements to the functionality, infrastructure and integrations. As a key piece of the Oracle Customer Experience (CX) strategy, RightNow will be integrated with Oracle Social Network, Oracle Commerce (ATG and Endeca), Oracle Knowledge, Oracle Policy Automation and, of course, further integration with Fusion Sales and Marketing. Look forward to seeing more on the Virtual Assistant, Smart Interaction Hub and Mobility. In addition to the roadmaps, I was looking forward to hearing from Oracle CRM customers. So, I sat in on two great Siebel customer panels: The Maximizing User Adoption Rates for Siebel Sales and Siebel Partner Relationship Management panel consisted of speakers from CSL Behring, McKesson and Intuit. It was great to get an overview of implementations for both B2B and B2C companies. It was great hearing that all of these companies have more than 1,000 sales users (Intuit has 4,000) and how the 360 degree view of the customer in Siebel is helping these customers improve their customers' experience (CX). They are all great examples of centralized implementations which have standardized processes across the globe and across business units.  Waste Management, Farmers Insurance and the US Citizenship & Immigration Services presented in the Driving Great Customer Experiences with Siebel Service Applications session. Talk about serving large customer bases! Is it possible that Farmers with only 10 million households is the smallest of these 3? All of them provided great examples of how they are improving the customer experience (CX) including 60-70% improvements in efficiency or reducing the number of applications the customer service reps (CSRs) need to use from 10 to 1 (Waste Management) and context aware call transfers to avoid the caller explaining their issue 3 times (USCIS). So that's my wrap up of only 4 sessions from Monday. In between sessions, I stopped by the Oracle DEMOgrounds and CRM Pavilion to visit with a group of great partners and see the products and partner integrations in action. Don't miss a recap of Mark Hurd's Keynote. I can't believe there were another 40+ sessions covering CRM, Fusion, Cloud, etc. that I missed today! Anyone else see any great sessions?

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• Fast Data - Big Data's achilles heel

  - by thegreeneman

  At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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• Wireless connection works but the internet is too slow to use in Ubuntu 11.04

  - by Garrin

  The internet is so slow as to be unusable. And I'm not being picky. Even after minutes I can't get my Google home page to load. I tried installing a package through apt-get and was getting rates between 0 and a few hundred bytes/s. That's bytes, not kilobytes! Mostly 0 however (no exaggeration, it spends large amounts of time stalled). And I would go to a speed test web site of some kind but I can't since nothing will load. Briefly put, the laptop I am using was connected to two wireless networks while using Ubuntu 11.04 without any issues before this. It was also connected to a wired network without any issues. It dual boats Windows 7 which has never had any issues, not even with the current wireless network. Just to be clear, on the current wi-fi network, Windows 7 encounters no issues (speedtest.net puts the network speed at 1mb/s) but my network connection in Ubuntu 11.04 is so slow as to literally be unusable. I am unfamiliar with the router except for the fact that it boasts a Rogers logo (that's a large ISP/cable provider in Canada for those not familiar with the land of igloos and polar bears). I am far from the router and some desktop widget I use tells me the signal strength is at 58% (it seems fairly reliable and this would appear to match up with the filled bars in the network icon). I should also mention I'm just renting a room in this house so I'm not the network administrator and while I can access the 192.168.0.1 router page, the password wasn't set to 'password' so it's not much use to me. Here are a bunch of commands I ran which don't tell me a whole lot but I thought might be more instructive to the wise around here: lspci (just showing my network card): 05:00.0 Network controller: Atheros Communications Inc. AR928X Wireless Network Adapter (PCI-Express) (rev 01) This one is self explanatory. PING www.googele.com (216.65.41.185) 56(84) bytes of data. 64 bytes from nnw.net (216.65.41.185): icmp_req=1 ttl=51 time=267 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=2 ttl=51 time=190 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=3 ttl=51 time=212 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=4 ttl=51 time=207 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=5 ttl=51 time=220 ms --- www.googele.com ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 4003ms rtt min/avg/max/mdev = 190.079/219.699/267.963/26.121 ms ifconfig eth0 Link encap:Ethernet HWaddr 20:6a:8a:02:20:da UP BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) Interrupt:42 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:16 errors:0 dropped:0 overruns:0 frame:0 TX packets:16 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:960 (960.0 B) TX bytes:960 (960.0 B) wlan0 Link encap:Ethernet HWaddr 20:7c:8f:05:c6:bf inet addr:192.168.0.16 Bcast:192.168.0.255 Mask:255.255.255.0 inet6 addr: fe80::227c:8fff:fe05:c6bf/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:982 errors:0 dropped:0 overruns:0 frame:0 TX packets:658 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:497250 (497.2 KB) TX bytes:95076 (95.0 KB) Thank you

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