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  • Demystified - BI in SharePoint 2010

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). Frequently, my clients ask me if there is a good guide on deciphering the seemingly daunting choice of products from Microsoft when it comes to business intelligence offerings in a SharePoint 2010 world. These are all described in detail in my book, but here is a one (well maybe two) page executive overview. Microsoft Excel: Yes, Microsoft Excel! Your favorite and most commonly used in the world database. No it isn’t a database in technical pure definitions, but this is the most commonly used ‘database’ in the world. You will find many business users craft up very compelling excel sheets with tonnes of logic inside them. Good for: Quick Ad-Hoc reports. Excel 64 bit allows the possibility of very large datasheets (Also see 32 bit vs 64 bit Office, and PowerPivot Add-In below). Audience: End business user can build such solutions. Related technologies: PowerPivot, Excel Services Microsoft Excel with PowerPivot Add-In: The powerpivot add-in is an extension to Excel that adds support for large-scale data. Think of this as Excel with the ability to deal with very large amounts of data. It has an in-memory data store as an option for Analysis services. Good for: Ad-hoc reporting and logic with very large amounts of data. Audience: End business user can build such solutions. Related technologies: Excel, and Excel Services Excel Services: Excel Services is a Microsoft SharePoint Server 2010 shared service that brings the power of Excel to SharePoint Server by providing server-side calculation and browser-based rendering of Excel workbooks. Thus, excel sheets can be created by end users, and published to SharePoint server – which are then rendered right through the browser in read-only or parameterized-read-only modes. They can also be accessed by other software via SOAP or REST based APIs. Good for: Sharing excel sheets with a larger number of people, while maintaining control/version control etc. Sharing logic embedded in excel sheets with other software across the organization via REST/SOAP interfaces Audience: End business users can build such solutions once your tech staff has setup excel services on a SharePoint server instance. Programmers can write software consuming functionality/complex formulae contained in your sheets. Related technologies: PerformancePoint Services, Excel, and PowerPivot. Visio Services: Visio Services is a shared service on the Microsoft SharePoint Server 2010 platform that allows users to share and view Visio diagrams that may or may not have data connected to them. Connected data can update these diagrams allowing a visual/graphical view into the data. The diagrams are viewable through the browser. They are rendered in silverlight, but will automatically down-convert to .png formats. Good for: Showing data as diagrams, live updating. Comes with a developer story. Audience: End business users can build such solutions once your tech staff has setup visio services on a SharePoint server instance. Developers can enhance the visualizations Related Technologies: Visio Services can be used to render workflow visualizations in SP2010 Reporting Services: SQL Server reporting services can integrate with SharePoint, allowing you to store reports and data sources in SharePoint document libraries, and render these reports and associated functionality such as subscriptions through a SharePoint site. In SharePoint 2010, you can also write reports against SharePoint lists (access services uses this technique). Good for: Showing complex reports running in a industry standard data store, such as SQL server. Audience: This is definitely developer land. Don’t expect end users to craft up reports, unless a report model has previously been published. Related Technologies: PerformancePoint Services PerformancePoint Services: PerformancePoint Services in SharePoint 2010 is now fully integrated with SharePoint, and comes with features that can either be used in the BI center site definition, or on their own as activated features in existing site collections. PerformancePoint services allows you to build reports and dashboards that target a variety of back-end datasources including: SQL Server reporting services, SQL Server analysis services, SharePoint lists, excel services, simple tables, etc. Using these you have the ability to create dashboards, scorecards/kpis, and simple reports. You can also create reports targeting hierarchical multidimensional data sources. The visual decomposition tree is a new report type that lets you quickly breakdown multi-dimensional data. Good for: Mostly everything :), except your wallet – it’s not free! But this is the most comprehensive offering. If you have SharePoint server, forget everything and go with performance point. Audience: Developers need to setup the back-end sources, manageability story. DBAs need to setup datawarehouses with cubes. Moderately sophisticated business users, or developers can craft up reports using dashboard designer which is a click-once App that deploys with PerformancePoint Related Technologies: Excel services, reporting services, etc.   Other relevant technologies to know about: Business Connectivity Services: Allows for consumption of external data in SharePoint as columns or external lists. This can be paired with one or more of the above BI offerings allowing insight into such data. Access Services: Allows the representation/publishing of an access database as a SharePoint 2010 site, leveraging many SharePoint features. Reporting services is used by Access services. Secure Store Service: The SP2010 Secure store service is a replacement for the SP2007 single sign on feature. This acts as a credential policeman providing credentials to various applications running with SharePoint. BCS, PerformancePoint Services, Excel Services, and many other apps use the SSS (Secure Store Service) for credential control. Comment on the article ....

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  • Whether to go for part MBA or not [closed]

    - by Santosh singh
    I need your help in knowing more about SP Jain Finance MBA. I am currently working in Singapore as a tech lead having 6.5 year experience in IT, planning to do part time MBA. There are currently 3 specialisation offered- marketing,operations and finance- I am not sure which one to choose. Whether I would be able to find a job in finance after getting MBA degree from SP Jain. Basically I do not forsee any career growth in my present company, so in a fix should I do MBA or go for some specialised course if you suggest.

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  • @CodeStock 2012 Review: Rob Gillen ( @argodev ) - Anatomy of a Buffer Overflow Attack

    Anatomy of a Buffer Overflow AttackSpeaker: Rob GillenTwitter: @argodevBlog: rob.gillenfamily.net Honestly, this talk was over my head due to my lack of knowledge of low level programming, and I think that most of the other attendees would agree. However I did get the basic concepts that we was trying to get across. Fortunately most high level programming languages handle most of the low level concerns regarding preventing buffer overflow attacks. What I got from this talk was to validate all input data from external sources.

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  • Data Quality Services Performance Best Practices Guide

    This guide details high-level performance numbers expected and a set of best practices on getting optimal performance when using Data Quality Services (DQS) in SQL Server 2012 with Cumulative Update 1. Schedule Azure backupsRed Gate’s Cloud Services makes it simple to create and schedule backups of your SQL Azure databases to Azure blob storage or Amazon S3. Try it for free today.

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  • Is RTD Stateless or Stateful?

    - by [email protected]
    Yes.   A stateless service is one where each request is an independent transaction that can be processed by any of the servers in a cluster.  A stateful service is one where state is kept in a server's memory from transaction to transaction, thus necessitating the proper routing of requests to the right server. The main advantage of stateless systems is simplicity of design. The main advantage of stateful systems is performance. I'm often asked whether RTD is a stateless or stateful service, so I wanted to clarify this issue in depth so that RTD's architecture will be properly understood. The short answer is: "RTD can be configured as a stateless or stateful service." The performance difference between stateless and stateful systems can be very significant, and while in a call center implementation it may be reasonable to use a pure stateless configuration, a web implementation that produces thousands of requests per second is practically impossible with a stateless configuration. RTD's performance is orders of magnitude better than most competing systems. RTD was architected from the ground up to achieve this performance. Features like automatic and dynamic compression of prediction models, automatic translation of metadata to machine code, lack of interpreted languages, and separation of model building from decisioning contribute to achieving this performance level. Because  of this focus on performance we decided to have RTD's default configuration work in a stateful manner. By being stateful RTD requests are typically handled in a few milliseconds when repeated requests come to the same session. Now, those readers that have participated in implementations of RTD know that RTD's architecture is also focused on reducing Total Cost of Ownership (TCO) with features like automatic model building, automatic time windows, automatic maintenance of database tables, automatic evaluation of data mining models, automatic management of models partitioned by channel, geography, etcetera, and hot swapping of configurations. How do you reconcile the need for a low TCO and the need for performance? How do you get the performance of a stateful system with the simplicity of a stateless system? The answer is that you make the system behave like a stateless system to the exterior, but you let it automatically take advantage of situations where being stateful is better. For example, one of the advantages of stateless systems is that you can route a message to any server in a cluster, without worrying about sending it to the same server that was handling the session in previous messages. With an RTD stateful configuration you can still route the message to any server in the cluster, so from the point of view of the configuration of other systems, it is the same as a stateless service. The difference though comes in performance, because if the message arrives to the right server, RTD can serve it without any external access to the session's state, thus tremendously reducing processing time. In typical implementations it is not rare to have high percentages of messages routed directly to the right server, while those that are not, are easily handled by forwarding the messages to the right server. This architecture usually provides the best of both worlds with performance and simplicity of configuration.   Configuring RTD as a pure stateless service A pure stateless configuration requires session data to be persisted at the end of handling each and every message and reloading that data at the beginning of handling any new message. This is of course, the root of the inefficiency of these configurations. This is also the reason why many "stateless" implementations actually do keep state to take advantage of a request coming back to the same server. Nevertheless, if the implementation requires a pure stateless decision service, this is easy to configure in RTD. The way to do it is: Mark every Integration Point to Close the session at the end of processing the message In the Session entity persist the session data on closing the session In the session entity check if a persisted version exists and load it An excellent solution for persisting the session data is Oracle Coherence, which provides a high performance, distributed cache that minimizes the performance impact of persisting and reloading the session. Alternatively, the session can be persisted to a local database. An interesting feature of the RTD stateless configuration is that it can cope with serializing concurrent requests for the same session. For example, if a web page produces two requests to the decision service, these requests could come concurrently to the decision services and be handled by different servers. Most stateless implementation would have the two requests step onto each other when saving the state, or fail one of the messages. When properly configured, RTD will make one message wait for the other before processing.   A Word on Context Using the context of a customer interaction typically significantly increases lift. For example, offer success in a call center could double if the context of the call is taken into account. For this reason, it is important to utilize the contextual information in decision making. To make the contextual information available throughout a session it needs to be persisted. When there is a well defined owner for the information then there is no problem because in case of a session restart, the information can be easily retrieved. If there is no official owner of the information, then RTD can be configured to persist this information.   Once again, RTD provides flexibility to ensure high performance when it is adequate to allow for some loss of state in the rare cases of server failure. For example, in a heavy use web site that serves 1000 pages per second the navigation history may be stored in the in memory session. In such sites it is typical that there is no OLTP that stores all the navigation events, therefore if an RTD server were to fail, it would be possible for the navigation to that point to be lost (note that a new session would be immediately established in one of the other servers). In most cases the loss of this navigation information would be acceptable as it would happen rarely. If it is desired to save this information, RTD would persist it every time the visitor navigates to a new page. Note that this practice is preferred whether RTD is configured in a stateless or stateful manner.  

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  • Google I/O 2010 - Data pipelines with Google App Engine

    Google I/O 2010 - Data pipelines with Google App Engine Google I/O 2010 - Building high-throughput data pipelines with Google App Engine App Engine 301 Brett Slatkin This session will cover how to build, test, and maintain large-scale data pipelines on Google App Engine. It will cover maximizing efficiency, productionization, and how to deal with changing requirements. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 5 0 ratings Time: 01:01:52 More in Science & Technology

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • Cross-platform independent development

    - by Joe Wreschnig
    Some years ago, if you wrote in C and some subset of C++ and used a sufficient number of platform abstractions (via SDL or whatever), you could run on every platform an indie could get on - Linux, Windows, Mac OS of various versions, obscure stuff like BeOS, and the open consoles like the GP2X and post-death Dreamcast. If you got a contract for a closed platform at some point, you could port your game to that platform with "minimal" code changes as well. Today, indie developers must use XNA to get on the Xbox 360 (and upcoming Windows phone); must not use XNA to work anywhere else but Windows; until recently had to use Java on Android; Flash doesn't run on phones, HTML5 doesn't work on IE. Unlike e.g. DirectX vs. OpenGL or Windows vs. Unix, these are changes to the core language you write your code in and can't be papered over without, basically, writing a compiler. You can move some game logic into scripts and include an interpreter - except when you can't, because the iPhone SDK doesn't allow it, and performance suffers because no one allows JIT. So what can you do if you want a really cross-platform portable game, or even just a significant body of engine and logic code? Is this not a problem because the platforms have fundamentally diverged - it's just plain not worthwhile to try to target both an iPhone and the Xbox 360 with any shared code because such a game would be bad? (I find this very unlikely. I can easily see wanting to share a game between a Windows Mobile phone and an Android, or an Xbox 360 and an iPad.) Are interfaces so high-level now that porting time is negligible? (I might believe this for business applications, but not for games with strict performance requirements.) Is this going to become more pronounced in the future? Is the split going to be, somewhat scarily, still down vendor lines? Will we all rely on high-level middleware like Flash or Unity to get anything cross-platform done? tl;dr - Is porting a problem, is it going to be a bigger problem in the future, and if so how do we solve it?

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  • Oracle OpenWorld 2012: Focus On Oracle Database

    - by jgelhaus
    As Oracle OpenWorld approaches and you work to plan your schedule.  We know there's a lot to sort through.  To help we've put together some Oracle Database Focus On Documents to help guide you through the database sessions at the show. Oracle Database Oracle Database Application Development Oracle Database Security Oracle Spatial and Graph Oracle Enterprise Manager Cloud Control 12c (and Private Cloud) Big Data Oracle Exadata Data Warehousing High Availability Oracle Database Utilities Oracle Database Upgrade See you in San Francisco!

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  • Skype, green screen, no microphone

    - by EddyThe B
    I have issues with skype using my brand new System 76 Galago Ultrapro, running Ubuntu 13.04. I installed Skype through ubuntu software centre (after allowing Canonical partner stuff), but it won't work, the video is a green screen, and it won't connect to the microphone. The webcam works when using Cheese, and the microphone appears to work in general (it shows sound levels when I go to the Input tab under the Sound settings). I tried to fix the green screen issue using this command: $ echo -e '#!bin/bash n LD_PRELOAD=/usr/lib/i386-linux-gnu/libv4l/v4l1compat.so /usr/bin/skype' | sudo tee /usr/local/bin/skype sudo chmod a+x /usr/local/bin/skype as suggested here: http://debianhelp.wordpress.com/2012/09/28/to-do-list-after-installing-ubuntu-13-04-aka-raring-ringtail-operating-system/ but no luck. Any ideas? I have also asked this question to the System 76 tech support folk.

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  • Usergroups in london this week

    - by simonsabin
    Don’t forget there are 2 usergroup meetings in London this week. The first is on service broker (by far the best but under used feature in SQL Server IMHO) and resource governor. This one is in Victoria on Wednesday http://sqlserverfaq.com/events/216/Service-Broker-Intro-Terminology-Design-Considerations-Monitoring-and-Controlling-Resources-in-SQL-Server-Resource-Governor-Data-Collector.aspx Then on Thursday Hitatchi Consulting are hosting a BI evening on DAX in Powerpivot and a case study in high...(read more)

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  • In the Groove: PASS Board Year 1, Q3

    - by Denise McInerney
    It's nine months into my first year on the PASS Board and I feel like I've found my rhythm. I've accomplished one of the goals I set out for the year and have made progress on others. Here's a recap of the last few months. Anti-Harassment Policy & Process Completed In April I began work on a Code of Conduct for the PASS Summit. The Board had several good discussions and various PASS members provided feedback. You can read more about that in this blog post. Since the document was focused on issues of harassment we renamed it the "Anti-Harassment Policy " and it was approved by the Board in August. The next step was to refine the guideliness and process for enforcement of the AHP. A subcommittee worked on this and presented an update to the Board at the September meeting. You can read more about that in this post, and you can find the process document here. Global Growth Expanding PASS' reach and making the organization relevant to SQL Server communities around the world has been a focus of the Board's work in 2012. We took the Global Growth initiative out to the community for feedback, and everyone on the Board participated, via Twitter chats, Town Hall meetings, feedback forums and in-person discussions. This community participation helped shape and refine our plans. Implementing the vision for Global Growth goes across all portfolios. The Virtual Chapters are well-positioned to help the organization move forward in this area. One outcome of the Global Growth discussions with the community is the expansion of two of the VCs from country-specific to language-specific. Thanks to the leadership in Brazil & Mexico for taking the lead here. I look forward to continued success for the Portuguese- and Spanish-language Virtual Chapters. Together with the Global Chinese VC PASS is off to a good start in making the VC's truly global. Virtual Chapters The VCs continue to grow and expand. Volunteers recently rebooted the Azure and Virutalization VCs, and a new  Education VC will be launching soon. Every week VCs offer excellent free training on a variety of topics. It's the dedication of the VC leaders and volunteers that make all this possible and I thank them for it. Board meeting The Board had an in-person meeting in September in San Diego, CA.. As usual we covered a number of topics including governance changes to support Global Growth, the upcoming Summit, 2013 events and the (then) upcoming PASS election. Next Up Much of the last couple of months has been focused on preparing for the PASS Summit in Seattle Nov. 6-9. I'll be there all week;  feel free to stop me if you have a question or concern, or just to introduce yourself.  Here are some of the places you can find me: VC Leaders Meeting Tuesday 8:00 am the VC leaders will have a meeting. We'll review some of the year's highlights and talk about plans for the next year Welcome Reception The VCs will be at the Welcome Reception in the new VC Lounge. Come by, learn more about what the VCs have to offer and meet others who share your interests. Exceptional DBA Awards Party I'm looking forward to seeing PASS Women in Tech VC leader Meredith Ryan receive her award at this event sponsored by Red Gate Session Presentation I will be presenting a spotlight session entitled "Stop Bad Data in Its OLTP Tracks" on Wednesday at 3:00 p.m. Exhibitor Reception This reception Wednesday evening in the Expo Hall is a great opportunity to learn more about tools and solutions that can help you in your job. Women in Tech Luncheon This year marks the 10th WIT Luncheon at PASS. I'm honored to be on the panel with Stefanie Higgins, Kevin Kline, Kendra Little and Jen Stirrup. This event is on Thursday at 11:30. Community Appreciation Party Thursday evening don't miss this event thanking all of you for everthing you do for PASS and the community. This year we will be at the Experience Music Project and it promises to be a fun party. Board Q & A Friday  9:45-11:15  am the members of the Board will be available to answer your questions. If you have a question for us, or want to hear what other members are thinking about, come by room 401 Friday morning.

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  • MySQL and Hadoop Integration - Unlocking New Insight

    - by Mat Keep
    “Big Data” offers the potential for organizations to revolutionize their operations. With the volume of business data doubling every 1.2 years, analysts and business users are discovering very real benefits when integrating and analyzing data from multiple sources, enabling deeper insight into their customers, partners, and business processes. As the world’s most popular open source database, and the most deployed database in the web and cloud, MySQL is a key component of many big data platforms, with Hadoop vendors estimating 80% of deployments are integrated with MySQL. The new Guide to MySQL and Hadoop presents the tools enabling integration between the two data platforms, supporting the data lifecycle from acquisition and organisation to analysis and visualisation / decision, as shown in the figure below The Guide details each of these stages and the technologies supporting them: Acquire: Through new NoSQL APIs, MySQL is able to ingest high volume, high velocity data, without sacrificing ACID guarantees, thereby ensuring data quality. Real-time analytics can also be run against newly acquired data, enabling immediate business insight, before data is loaded into Hadoop. In addition, sensitive data can be pre-processed, for example healthcare or financial services records can be anonymized, before transfer to Hadoop. Organize: Data is transferred from MySQL tables to Hadoop using Apache Sqoop. With the MySQL Binlog (Binary Log) API, users can also invoke real-time change data capture processes to stream updates to HDFS. Analyze: Multi-structured data ingested from multiple sources is consolidated and processed within the Hadoop platform. Decide: The results of the analysis are loaded back to MySQL via Apache Sqoop where they inform real-time operational processes or provide source data for BI analytics tools. So how are companies taking advantage of this today? As an example, on-line retailers can use big data from their web properties to better understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted. This knowledge can be combined with user profiles and purchasing history to gain a better understanding of customers, and the delivery of highly targeted offers. Of course, it is not just in the web that big data can make a difference. Every business activity can benefit, with other common use cases including: - Sentiment analysis; - Marketing campaign analysis; - Customer churn modeling; - Fraud detection; - Research and Development; - Risk Modeling; - And more. As the guide discusses, Big Data is promising a significant transformation of the way organizations leverage data to run their businesses. MySQL can be seamlessly integrated within a Big Data lifecycle, enabling the unification of multi-structured data into common data platforms, taking advantage of all new data sources and yielding more insight than was ever previously imaginable. Download the guide to MySQL and Hadoop integration to learn more. I'd also be interested in hearing about how you are integrating MySQL with Hadoop today, and your requirements for the future, so please use the comments on this blog to share your insights.

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  • Media Streaming Server

    - by Ehsan
    I'm looking for a media stream server (specially audio streams) for installing on my Ubuntu server box. Is there any lightweight, easy configurable solution? It's awesome if this solution is able to install on a high bandwidth server and gets a stream from a low bandwidth server and serves it for many clients. (simply because the original server hasn't enough BW to serve media for many clients) (My server is a LAMP server, but I'm looking for a good solution for one of my clients to stream his audio for one hour every week)

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  • Too Few Women in IT!

    - by Yolande
    Last year, only 1% of attendees at Devoxx were women . This year, Devoxx addressed the issue in a panel entitled "Why We Should Target Women." On the panel were Kim Ross, Régina ten Bruggencate, Trisha Gee, Antonio Goncalves and Claude Falguiére. The moderator was Martijn Verburg. The discussion focused on how to attract women to programming and how to get current women programmers to be more active in the community. The panelists agreed that the IT field should not just attract more women but also men of different ethnic backgrounds. The lack of women in programming is in part a cultural issue that differs from region to region. In developed countries, very few women work as programmers whereas in Brazil and India a lot of women pursue careers in IT.  Women in developed countries perceive the field as isolating and very few young women graduate in computer science.  This perception of isolation was based in reality decades ago, but that is no longer the case today. Main ideas discussed by the panel: - Parents should encourage their daughters to play with Lego and learn programming - More organizations should target girls in high schools and young women in university to expose them to programming.  Duchess organization is planning on being more involved with young girl events and mentoring. - Women tend to be more self-critical about their skills and are intimidated by high skill requirements in job advertisements. Companies should change job advertisements to get more women to interviews. - Panelists don't recommend affirmative action because women feel favored and lose credibility. They want to be judged for their skills. - Panelists recommend acting the same way when dealing with either female or male co-workers and managers - Women need mentors (men or women) to learn to become speakers at conferences and to promote themselves better - Men should be sensitive to the fact that women are alone at work to respond to men teasing. The balance of power at work is different from a social setting. - Men also experience discrimination on the job. It is more difficult for men to take time off when their children are sick, for example. Equal valuing of parental obligations could result in equal pay for women. See also: Trisha Gee Blog - http://mechanitis.blogspot.com/ Duchess Organization - http://www.jduchess.org/

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  • Introducing QuickUnit

    - by RoyOsherove
    A friend of mine, Ariel, just finished up his latest project, in the unit testing world – called QuickUnit. From the site: QuickUnit significantly reduces the time needed to design and generate high-quality unit tests. I see it as an interactive unit test generator with all the options for isolation included. give it a whirl

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  • ADF Mobile Client Developer Preview announced!

    - by [email protected]
    Today at the RIM WES conference, Ted Farrell, Chief Architect and SVP, announed the general availability of the ADF Mobile Client Developer Preview.  This is an extension to JDeveloper that allows developers to rapidly develop mobile applications that reside on the mobile device and access a local database and can be used while completely disconnected from the network with a data synchronization technology to get the data back to the server.  You can quickly develop applications declaratively that run on multiple platforms without having to do native coding.  Go download JDeveloper at http://www.oracle.com/technology/software/products/jdev/index.html You can get more info about ADF Mobile Client here at:  http://www.oracle.com/technology/tech/wireless/adf_mobile.html   Check back here for coding examples and how-to's that will be posted regularly.

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  • How To Build An Enterprise Application - Introduction

    - by Tuan Nguyen
    An enterprise application is a software which fulfills 4 core quality attributes: Reliability Flexibility Reusability Maintainability Reliability is the ability of a system or component to perform its required functions under stated conditions for a specific period of time. Because there are no ways more than testing to make sure a system is reliability, we can exchange the term reliability with the term testability. Flexibility is the ability of changing a system's core features without violating unrelated features or components. Although flexibility can helps us to achieve interoperability easily but the opposite is not true. For example, a program might run on multiple platforms, contains logic for many scenarios but that wouldn't mean it was flexibility if it forces us rewrite code in all components when we just want to change some aspects of a feature it had. Reusability is the ability of sharing one or more system's components for another system. We should just open a component's reusability in the context in which it is used. For example, we write classes that implement UI logic and deliver them to only classes which implementing UI. Maintainability is the ability of adding or removing features to a system after it was released. Maintainability consists of many factors such as readability, analyzability, extensibility therein extensibility is critical. Maintainability requires us to write code that is longer and complexer than normal but it doesn't mean we introduce unneccessarily complex code. We always try to make our code clear and transparent to everyone. An application enterprise is built on an enterprise design which consists of two parts: low-level design and high-level design. At low-level design, it focuses on building loose-coupled classes or components. Particularly, it recommends: Each class or component undertakes only single responsibility (design based on unit test) Classes or components implement and work through interfaces (design based on contract) Dependency relationship between classes and components could be injected at run-time (design based on dependency) At high-level design, it focuses on architecting system into tiers and layers. Particularly, it recommends: Divide system into subsystems for deployment. Each subsytem is called a tier. Typical, an enterprise application would have 3 tiers as illustrated in the following figure: Arrange classes and components to logical containers called layers. Typical, an enterprise application would have 5 layers as illustrated in the following figure

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  • White House Cybersecurity Chief Slams Federal Security Efforts

    Although agencies are improving cybersecurity at the national level, the federal approach to securing U.S. interests online still leaves much to be desired, a high-ranking Obama administration official said....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Cool a Computer with Toilet Water

    - by Jason Fitzpatrick
    When most people opt to use water cooling they put together tidy coolant reservoirs complete with ambient lighting and the like. This build involves a hole in the wall and the tank of a functioning toilet. The design, courtesy of Jeff Gagnon, is unconventional, but effective. Opposite of his wall-mounted PC is a bathroom. In that bathroom he has a coolant pump in the tank of the toilet. Using the toilet tank as a thermal sink he keeps the CPU at a nice chilly 66F. Hit up the link below for more pictures, including a peek inside his hacked together toilet-tank cooling rig. How to Cool a PC with Toilet Water [Extreme Tech] How to Sync Your Media Across Your Entire House with XBMC How to Own Your Own Website (Even If You Can’t Build One) Pt 2 How to Own Your Own Website (Even If You Can’t Build One) Pt 1

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  • Oracle Database 12 c New Partition Maintenance Features by Gwen Lazenby

    - by hamsun
    One of my favourite new features in Oracle Database 12c is the ability to perform partition maintenance operations on multiple partitions. This means we can now add, drop, truncate and merge multiple partitions in one operation, and can split a single partition into more than two partitions also in just one command. This would certainly have made my life slightly easier had it been available when I administered a data warehouse at Oracle 9i. To demonstrate this new functionality and syntax, I am going to create two tables, ORDERS and ORDERS_ITEMS which have a parent-child relationship. ORDERS is to be partitioned using range partitioning on the ORDER_DATE column, and ORDER_ITEMS is going to partitioned using reference partitioning and its foreign key relationship with the ORDERS table. This form of partitioning was a new feature in 11g and means that any partition maintenance operations performed on the ORDERS table will also take place on the ORDER_ITEMS table as well. First create the ORDERS table - SQL CREATE TABLE orders ( order_id NUMBER(12), order_date TIMESTAMP, order_mode VARCHAR2(8), customer_id NUMBER(6), order_status NUMBER(2), order_total NUMBER(8,2), sales_rep_id NUMBER(6), promotion_id NUMBER(6), CONSTRAINT orders_pk PRIMARY KEY(order_id) ) PARTITION BY RANGE(order_date) (PARTITION Q1_2007 VALUES LESS THAN (TO_DATE('01-APR-2007','DD-MON-YYYY')), PARTITION Q2_2007 VALUES LESS THAN (TO_DATE('01-JUL-2007','DD-MON-YYYY')), PARTITION Q3_2007 VALUES LESS THAN (TO_DATE('01-OCT-2007','DD-MON-YYYY')), PARTITION Q4_2007 VALUES LESS THAN (TO_DATE('01-JAN-2008','DD-MON-YYYY')) ); Table created. Now the ORDER_ITEMS table SQL CREATE TABLE order_items ( order_id NUMBER(12) NOT NULL, line_item_id NUMBER(3) NOT NULL, product_id NUMBER(6) NOT NULL, unit_price NUMBER(8,2), quantity NUMBER(8), CONSTRAINT order_items_fk FOREIGN KEY(order_id) REFERENCES orders(order_id) on delete cascade) PARTITION BY REFERENCE(order_items_fk) tablespace example; Table created. Now look at DBA_TAB_PARTITIONS to get details of what partitions we have in the two tables – SQL select table_name,partition_name, partition_position position, high_value from dba_tab_partitions where table_owner='SH' and table_name like 'ORDER_%' order by partition_position, table_name; TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 Just as an aside it is also now possible in 12c to use interval partitioning on reference partitioned tables. In 11g it was not possible to combine these two new partitioning features. For our first example of the new 12cfunctionality, let us add all the partitions necessary for 2008 to the tables using one command. Notice that the partition specification part of the add command is identical in format to the partition specification part of the create command as shown above - SQL alter table orders add PARTITION Q1_2008 VALUES LESS THAN (TO_DATE('01-APR-2008','DD-MON-YYYY')), PARTITION Q2_2008 VALUES LESS THAN (TO_DATE('01-JUL-2008','DD-MON-YYYY')), PARTITION Q3_2008 VALUES LESS THAN (TO_DATE('01-OCT-2008','DD-MON-YYYY')), PARTITION Q4_2008 VALUES LESS THAN (TO_DATE('01-JAN-2009','DD-MON-YYYY')); Table altered. Now look at DBA_TAB_PARTITIONS and we can see that the 4 new partitions have been added to both tables – SQL select table_name,partition_name, partition_position position, high_value from dba_tab_partitions where table_owner='SH' and table_name like 'ORDER_%' order by partition_position, table_name; TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q1_2008 5 TIMESTAMP' 2008-04-01 00:00:00' ORDER_ITEMS Q1_2008 5 ORDERS Q2_2008 6 TIMESTAMP' 2008-07-01 00:00:00' ORDER_ITEM Q2_2008 6 ORDERS Q3_2008 7 TIMESTAMP' 2008-10-01 00:00:00' ORDER_ITEMS Q3_2008 7 ORDERS Q4_2008 8 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 8 Next, we can drop or truncate multiple partitions by giving a comma separated list in the alter table command. Note the use of the plural ‘partitions’ in the command as opposed to the singular ‘partition’ prior to 12c– SQL alter table orders drop partitions Q3_2008,Q2_2008,Q1_2008; Table altered. Now look at DBA_TAB_PARTITIONS and we can see that the 3 partitions have been dropped in both the two tables – TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q4_2008 5 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 5 Now let us merge all the 2007 partitions together to form one single partition – SQL alter table orders merge partitions Q1_2005, Q2_2005, Q3_2005, Q4_2005 into partition Y_2007; Table altered. TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Y_2007 1 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Y_2007 1 ORDERS Q4_2008 2 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 2 Splitting partitions is a slightly more involved. In the case of range partitioning one of the new partitions must have no high value defined, and in list partitioning one of the new partitions must have no list of values defined. I call these partitions the ‘everything else’ partitions, and will contain any rows contained in the original partition that are not contained in the any of the other new partitions. For example, let us split the Y_2007 partition back into 4 quarterly partitions – SQL alter table orders split partition Y_2007 into (PARTITION Q1_2007 VALUES LESS THAN (TO_DATE('01-APR-2007','DD-MON-YYYY')), PARTITION Q2_2007 VALUES LESS THAN (TO_DATE('01-JUL-2007','DD-MON-YYYY')), PARTITION Q3_2007 VALUES LESS THAN (TO_DATE('01-OCT-2007','DD-MON-YYYY')), PARTITION Q4_2007); Now look at DBA_TAB_PARTITIONS to get details of the new partitions – TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q4_2008 5 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 5 Partition Q4_2007 has a high value equal to the high value of the original Y_2007 partition, and so has inherited its upper boundary from the partition that was split. As for a list partitioning example let look at the following another table, SALES_PAR_LIST, which has 2 partitions, Americas and Europe and a partitioning key of country_name. SQL select table_name,partition_name, high_value from dba_tab_partitions where table_owner='SH' and table_name = 'SALES_PAR_LIST'; TABLE_NAME PARTITION_NAME HIGH_VALUE -------------- --------------- ----------------------------- SALES_PAR_LIST AMERICAS 'Argentina', 'Canada', 'Peru', 'USA', 'Honduras', 'Brazil', 'Nicaragua' SALES_PAR_LIST EUROPE 'France', 'Spain', 'Ireland', 'Germany', 'Belgium', 'Portugal', 'Denmark' Now split the Americas partition into 3 partitions – SQL alter table sales_par_list split partition americas into (partition south_america values ('Argentina','Peru','Brazil'), partition north_america values('Canada','USA'), partition central_america); Table altered. Note that no list of values was given for the ‘Central America’ partition. However it should have inherited any values in the original ‘Americas’ partition that were not assigned to either the ‘North America’ or ‘South America’ partitions. We can confirm this by looking at the DBA_TAB_PARTITIONS view. SQL select table_name,partition_name, high_value from dba_tab_partitions where table_owner='SH' and table_name = 'SALES_PAR_LIST'; TABLE_NAME PARTITION_NAME HIGH_VALUE --------------- --------------- -------------------------------- SALES_PAR_LIST SOUTH_AMERICA 'Argentina', 'Peru', 'Brazil' SALES_PAR_LIST NORTH_AMERICA 'Canada', 'USA' SALES_PAR_LIST CENTRAL_AMERICA 'Honduras', 'Nicaragua' SALES_PAR_LIST EUROPE 'France', 'Spain', 'Ireland', 'Germany', 'Belgium', 'Portugal', 'Denmark' In conclusion, I hope that DBA’s whose work involves maintaining partitions will find the operations a bit more straight forward to carry out once they have upgraded to Oracle Database 12c. Gwen Lazenby is a Principal Training Consultant at Oracle. She is part of Oracle University's Core Technology delivery team based in the UK, teaching Database Administration and Linux courses. Her specialist topics include using Oracle Partitioning and Parallelism in Data Warehouse environments, as well as Oracle Spatial and RMAN.

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  • The Birth of a Method - Where did OUM come from?

    - by user702549
    It seemed fitting to start this blog entry with the OUM vision statement. The vision for the Oracle® Unified Method (OUM) is to support the entire Enterprise IT lifecycle, including support for the successful implementation of every Oracle product.  Well, it’s that time of year again; we just finished testing and packaging OUM 5.6.  It will be released for general availability to qualifying customers and partners this month.  Because of this, I’ve been reflecting back on how the birth of Oracle’s Unified method - OUM came about. As the Release Director of OUM, I’ve been honored to package every method release.  No, maybe you’d say it’s not so special.  Of course, anyone can use packaging software to create an .exe file.  But to me, it is pretty special, because so many people work together to make each release come about.  The rich content that results is what makes OUM’s history worth talking about.   To me, professionally speaking, working on OUM, well it’s been “a labor of love”.  My youngest child was just 8 years old when OUM was born, and she’s now in High School!  Watching her grow and change has been fascinating, if you ask her, she’s grown up hearing about OUM.  My son would often walk into my home office and ask “How is OUM today, Mom?”  I am one of many people that take care of OUM, and have watched the method “mature” over these last 6 years.  Maybe that makes me a "Method Mom" (someone in one of my classes last year actually said this outloud) but there are so many others who collaborate and care about OUM Development. I’ve thought about writing this blog entry for a long time just to reflect on how far the Method has come. Each release, as I prepare the OUM Contributors list, I see how many people’s experience and ideas it has taken to create this wealth of knowledge, process and task guidance as well as templates and examples.  If you’re wondering how many people, just go into OUM select the resources button on the top of most pages of the method, and on that resources page click the ABOUT link. So now back to my nostalgic moment as I finished release 5.6 packaging.  I reflected back, on all the things that happened that cause OUM to become not just a dream but to actually come to fruition.  Here are some key conditions that make it possible for each release of the method: A vision to have one method instead of many methods, thereby focusing on deeper, richer content People within Oracle’s consulting Organization  willing to contribute to OUM providing Subject Matter Experts who are willing to write down and share what they know. Oracle’s continued acquisition of software companies, the need to assimilate high quality existing materials from these companies The need to bring together people from very different backgrounds and provide a common language to support Oracle Product implementations that often involve multiple product families What came first, and then what was the strategy? Initially OUM 4.0 was based on Oracle’s J2EE Custom Development Method (JCDM), it was a good “backbone”  (work breakdown structure) it was Unified Process based, and had good content around UML as well as custom software development.  But it needed to be extended in order to achieve the OUM Vision. What happened after that was to take in the “best of the best”, the legacy and acquired methods were scheduled for assimilation into OUM, one release after another.  We incrementally built OUM.  We didn’t want to lose any of the expertise that was reflected in AIM (Oracle’s legacy Application Implementation Method), Compass (People Soft’s Application implementation method) and so many more. When was OUM born? OUM 4.1 published April 30, 2006.  This release allowed Oracles Advanced Technology groups to begin the very first implementations of Fusion Middleware.  In the early days of the Method we would prepare several releases a year.  Our iterative release development cycle began and continues to be refined with each Method release.  Now we typically see one major release each year. The OUM release development cycle is not unlike many Oracle Implementation projects in that we need to gather requirements, prioritize, prepare the content, test package and then go production.  Typically we develop an OUM release MoSCoW (must have, should have, could have, and won’t have) right after the prior release goes out.   These are the high level requirements.  We break the timeframe into increments, frequent checkpoints that help us assess the content and progress is measured through frequent checkpoints.  We work as a team to prioritize what should be done in each increment. Yes, the team provides the estimates for what can be done within a particular increment.  We sometimes have Method Development workshops (physically or virtually) to accelerate content development on a particular subject area, that is where the best content results. As the written content nears the final stages, it goes through edit and evaluation through peer reviews, and then moves into the release staging environment.  Then content freeze and testing of the method pack take place.  This iterative cycle is run using the OUM artifacts that make sense “fit for purpose”, project plans, MoSCoW lists, Test plans are just a few of the OUM work products we use on a Method Release project. In 2007 OUM 4.3, 4.4 and 4.5 were published.  With the release of 4.5 our Custom BI Method (Data Warehouse Method FastTrack) was assimilated into OUM.  These early releases helped us align Oracle’s Unified method with other industry standards Then in 2008 we made significant changes to the OUM “Backbone” to support Applications Implementation projects with that went to the OUM 5.0 release.  Now things started to get really interesting.  Next we had some major developments in the Envision focus area in the area of Enterprise Architecture.  We acquired some really great content from the former BEA, Liquid Enterprise Method (LEM) along with some SMEs who were willing to work at bringing this content into OUM.  The Service Oriented Architecture content in OUM is extensive and can help support the successful implementation of Fusion Middleware, as well as Fusion Applications. Of course we’ve developed a wealth of OUM training materials that work also helps to improve the method content.  It is one thing to write “how to”, and quite another to be able to teach people how to use the materials to improve the success of their projects.  I’ve learned so much by teaching people how to use OUM. What's next? So here toward the end of 2012, what’s in store in OUM 5.6, well, I’m sure you won’t be surprised the answer is Cloud Computing.   More details to come in the next couple of weeks!  The best part of being involved in the development of OUM is to see how many people have “adopted” OUM over these six years, Clients, Partners, and Oracle Consultants.  The content just gets better with each release.   I’d love to hear your comments on how OUM has evolved, and ideas for new content you’d like to see in the upcoming releases.

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