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• strange bundler error: tar_input.rb:49:in `initialize': not in gzip format (Zlib::GzipFile::Error) o

  - by z3cko

  i am getting a strange bundler error when running bundle pack with bundler 0.9.12 any ideas? (see pastie for a better formatted code: http://pastie.org/881328 ) /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:49:in `initialize': not in gzip format (Zlib::GzipFile::Error) from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:49:in `new' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:49:in `initialize' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_reader.rb:63:in `each' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_reader.rb:54:in `loop' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_reader.rb:54:in `each' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:32:in `initialize' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:17:in `new' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package/tar_input.rb:17:in `open' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/package.rb:55:in `open' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/format.rb:63:in `from_io' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/format.rb:51:in `from_file_by_path' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/format.rb:50:in `open' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/site_ruby/1.8/rubygems/format.rb:50:in `from_file_by_path' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/source.rb:115:in `specs' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/source.rb:114:in `each' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/source.rb:114:in `specs' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:32:in `from_cached_specs' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:23:in `application_cached_gems' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:15:in `cached_gems' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:5:in `build' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:14:in `cached_gems' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/environment.rb:15:in `index' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/index.rb:5:in `build' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/environment.rb:13:in `index' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/runtime.rb:86:in `specs' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/runtime.rb:130:in `details' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/runtime.rb:119:in `write_yml_lock' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/runtime.rb:65:in `lock' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/cli.rb:89:in `lock' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/cli.rb:131:in `package' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/task.rb:33:in `send' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/task.rb:33:in `run' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/invocation.rb:109 from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/invocation.rb:116:in `call' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/invocation.rb:116:in `invoke' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor.rb:137:in `start' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor/base.rb:378:in `start' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/lib/bundler/vendor/thor.rb:124:in `start' from /opt/ruby-enterprise-1.8.7-2010.01/lib/ruby/gems/1.8/gems/bundler-0.9.12/bin/bundle:11 from /opt/REE/bin/bundle:19:in `load' from /opt/REE/bin/bundle:19

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• Data Masking Pack 12.1.0.3 Certified with E-Business Suite 12.1.3

  - by Elke Phelps (Oracle Development)

  I'm pleased to announce the certification of the E-Business Suite 12.1.3 Data Masking Template for the Data Masking Pack with Enterprise Manager Cloud Control 12.1.0.3. You can use the Oracle Data Masking Pack with Oracle Enterprise Manager Grid Control 12c to scramble sensitive data in cloned E-Business Suite environments.     You may scramble data in E-Business Suite cloned environments with EM12.1.0.3 using the following template: E-Business Suite 12.1.3 Data Masking Template for Data Masking Pack with EM12c (Patch 18462641) What does data masking do in E-Business Suite environments? Application data masking does the following: De-identify the data:  Scramble identifiers of individuals, also known as personally identifiable information or PII.  Examples include information such as name, account, address, location, and driver's license number. Mask sensitive data:  Mask data that, if associated with personally identifiable information (PII), would cause privacy concerns.  Examples include compensation, health and employment information.   Maintain data validity:  Provide a fully functional application.  How can EBS customers use data masking? The Oracle E-Business Suite Template for Data Masking Pack can be used in situations where confidential or regulated data needs to be shared with other non-production users who need access to some of the original data, but not necessarily every table.  Examples of non-production users include internal application developers or external business partners such as offshore testing companies, suppliers or customers.  Due to data dependencies, scrambling E-Business Suite data is not a trivial task.  The data needs to be scrubbed in such a way that allows the application to continue to function. The template works with the Oracle Data Masking Pack and Oracle Enterprise Manager to obscure sensitive E-Business Suite information that is copied from production to non-production environments.  The Oracle E-Business Suite Template for Data Masking Pack is applied to a non-production environment with the Enterprise Manager Grid Control Data Masking Pack.  When applied, the Oracle E-Business Suite Template for Data Masking Pack will create an irreversibly scrambled version of your production database for development and testing. Is there a charge for this? Yes. You must purchase licenses for the Oracle Data Masking Pack to use the Oracle E-Business Suite 12.1.3 template. The Oracle E-Business Suite 12.1.3 Template for the Data Masking Pack is included with the Oracle Data Masking Pack license.  You can contact your Oracle account manager for more details about licensing. References Additional details and requirements are provided in the following My Oracle Support Note: Using Oracle E-Business Suite Release 12.1.3 Template for the Data Masking Pack with Oracle Enterprise Manager 12.1 Data Masking Tool (Note 1481916.1) Masking Sensitive Data in the Oracle Database Real Application Testing User's Guide 11g Release 2 (11.2) Related Articles Scrambling Sensitive Data in E-Business Suite E-Business Suite 12.1.3 Data Masking Certified with Enterprise Manager 12c

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• Android: ViewFlipper Touch Animation like News & Weather

  Android: ViewFlipper Touch Animation like News & Weather

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• How to Set Up Your Enterprise Social Organization

  - by Mike Stiles

  The rush for business organizations to establish, grow, and adopt social was driven out of necessity and inevitability. The result, however, was a sudden, booming social presence creating touch points with customers, partners and influencers, but without any corporate social organization or structure in place to effectively manage it. Even today, many business leaders remain uncertain as to how to corral this social media thing so that it makes sense for their enterprise. Imagine their panic when they hear one of the most beneficial approaches to corporate use of social involves giving up at least some hierarchical control and empowering employees to publicly engage customers. And beyond that, they should also be empowered, regardless of their corporate status, to engage and collaborate internally, spurring “off the grid” innovation. An HBR blog points out that traditionally, enterprise organizations function from the top down, and employees work end-to-end, structured around business processes. But the social enterprise opens up structures that up to now have not exactly been embraced by turf-protecting executives and managers. The blog asks, “What if leaders could create a future where customers, associates and suppliers are no longer seen as objects in the system but as valued sources of innovation, ideas and energy?” What if indeed? The social enterprise activates internal resources without the usual obsession with position. It is the dawn of mass collaboration. That does not, however, mean this mass collaboration has to lead to uncontrolled chaos. In an extended interview with Oracle, Altimeter Group analyst Jeremiah Owyang and Oracle SVP Reggie Bradford paint a complete picture of today’s social enterprise, including internal organizational structures Altimeter Group has seen emerge. One sign of a mature social enterprise is the establishing of a social Center of Excellence (CoE), which serves as a hub for high-level social strategy, training and education, research, measurement and accountability, and vendor selection. This CoE is led by a corporate Social Strategist, most likely from a Marketing or Corporate Communications background. Reporting to them are the Community Managers, the front lines of customer interaction and engagement; business unit liaisons that coordinate the enterprise; and social media campaign/product managers, social analysts, and developers. With content rising as the defining factor for social success, Altimeter also sees a Content Strategist position emerging. Across the enterprise, Altimeter has seen 5 organizational patterns. Watching the video will give you the pros and cons of each. Decentralized - Anyone can do anything at any time on any social channel. Centralized – One central groups controls all social communication for the company. Hub and Spoke – A centralized group, but business units can operate their own social under the hub’s guidance and execution. Most enterprises are using this model. Dandelion – Each business unit develops their own social strategy & staff, has its own ability to deploy, and its own ability to engage under the central policies of the CoE. Honeycomb – Every employee can do social, but as opposed to the decentralized model, it’s coordinated and monitored on one platform. The average enterprise has a whopping 178 social accounts, nearly ¼ of which are usually semi-idle and need to be scrapped. The last thing any C-suite needs is to cope with fragmented technologies, solutions and platforms. It’s neither scalable nor strategic. The prepared, effective social enterprise has a technology partner that can quickly and holistically integrate emerging platforms and technologies, such that whatever internal social command structure you’ve set up can continue efficiently executing strategy without skipping a beat. @mikestiles

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• Oracle Systems and Solutions at OpenWorld Tokyo 2012

  - by ferhat

  Oracle OpenWorld Tokyo and JavaOne Tokyo will start next week April 4th. We will cover Oracle systems and Oracle Optimized Solutions in several keynote talks and general sessions. Full schedule can be found here. Come by the DemoGrounds to learn more about mission critical integration and optimization of complete Oracle stack. Our Oracle Optimized Solutions experts will be at hand to discuss 1-1 several of Oracle's systems solutions and technologies. Oracle Optimized Solutions are proven blueprints that eliminate integration guesswork by combing best in class hardware and software components to deliver complete system architectures that are fully tested, and include documented best practices that reduce integration risks and deliver better application performance. And because they are highly flexible by design, Oracle Optimized Solutions can be implemented as an end-to-end solution or easily adapted into existing environments. Oracle Optimized Solutions, Servers,  Storage, and Oracle Solaris  Sessions, Keynotes, and General Session Talks DAY TIME TITLE Notes Session Wednesday  April 4 9:00 - 11:15 Keynote: ENGINEERED FOR INNOVATION - Engineered Systems Mark Hurd,  President, Oracle Takao Endo, President & CEO, Oracle Corporation Japan John Fowler, EVP of Systems, Oracle Ed Screven, Chief Corporate Architect, Oracle English Session K1-01 11:50 - 12:35 Simplifying IT: Transforming the Data Center with Oracle's Engineered Systems Robert Shimp, Group VP, Product Marketing, Oracle English Session S1-01 15:20 - 16:05 Introducing Tiered Storage Solution for low cost Big Data Archiving S1-33 16:30 - 17:15 Simplifying IT - IT System Consolidation that also Accelerates Business Agility S1-42 Thursday  April 5 9:30 - 11:15 Keynote: Extreme Innovation Larry Ellison, Chief Executive Officer, Oracle English Session K2-01 11:50 - 13:20 General Session: Server and Storage Systems Strategy John Fowler, EVP of Systems, Oracle English Session G2-01 16:30 - 17:15 Top 5 Reasons why ZFS Storage appliance is "The cloud storage" by SAKURA Internet Inc L2-04 16:30 - 17:15 The UNIX based Exa* Performance IT Integration Platform - SPARC SuperCluster S2-42 17:40 - 18:25 Full stack solutions of hardware and software with SPARC SuperCluster and Oracle E-Business Suite  to minimize the business cost while maximizing the agility, performance, and availability S2-53 Friday April 6 9:30 - 11:15 Keynote: Oracle Fusion Applications & Cloud Robert Shimp, Group VP, Product Marketing Anthony Lye, Senior VP English Session K3-01 11:50 - 12:35 IT at Oracle: The Art of IT Transformation to Enable Business Growth English Session S3-02 13:00-13:45 ZFS Storagge Appliance: Architecture of high efficient and high performance S3-13 14:10 - 14:55 Why "Niko Niko doga" chose ZFS Storage Appliance to support their growing requirements and storage infrastructure By DWANGO Co, Ltd. S3-21 15:20 - 16:05 Osaka University: Lower TCO and higher flexibility for student study by Virtual Desktop By Osaka University S3-33 Oracle Developer Sessions with Oracle Systems and Oracle Solaris DAY TIME TITLE Notes LOCATION Friday April 6 13:00 - 13:45 Oracle Solaris 11 Developers D3-03 13:00 - 14:30 Oracle Solaris Tuning Contest Hands-On Lab D3-04 14:00 - 14:35 How to build high performance and high security Oracle Database environment with Oracle SPARC/Solaris English Session D3-13 15:00 - 15:45 IT Assets preservation and constructive migration with Oracle Solaris virtualization D3-24 16:00 - 17:30 The best packaging system for cloud environment - Creating an IPS package D3-34 Follow Oracle Infrared at Twitter, Facebook, Google+, and LinkedIn  to catch the latest news, developments, announcements, and inside views from  Oracle Optimized Solutions.

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• Oracle Data Warehouse and Big Data Magazine MAY Edition for Customers + Partners

  - by KLaker

  Follow us on The latest edition of our monthly data warehouse and big data magazine for Oracle customers and partners is now available. The content for this magazine is taken from the various data warehouse and big data Oracle product management blogs, Oracle press releases, videos posted on Oracle Media Network and Oracle Facebook pages. Click here to view the May Edition Please share this link http://flip.it/fKOUS to our magazine with your customers and partners This magazine is optimized for display on tablets and smartphones using the Flipboard App which is available from the Apple App store and Google Play store

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• General Availability of Oracle E-Business Suite Plug-in 12.1.0.1.0

  - by user810030

  We are pleased to announce the General Availability of Oracle E-Business Suite Plug-in 12.1.0.1.0, an integral part of Application Management Suite for Oracle E-Business Suite. The combination of Enterprise Manager 12c Cloud Control and the Application Management Suite combines functionality that was available in the standalone Application Management Pack for Oracle E-Business Suite and Application Change Management Pack for Oracle E-Business Suite with Oracle’s Real User Experience Insight product and the Configuration & Compliance capabilities to provide the most complete solution for managing Oracle E-Business Suite applications. The features that were available in the standalone management packs are now packaged into the Oracle E-Business Suite Plug-in, which is now fully certified with Oracle Enterprise Manager 12c Cloud Control. This latest plug-in extends Cloud Control with E-Business Suite specific system management capabilities and features enhanced change management support. This new release offers the following key enhancements: General: Oracle Enterprise Manager 12c Base Platform uptake: All components of the management suite are certified with Oracle Enterprise Manager 12c Cloud Control. Security: Privilege Delegation: The Oracle E-Business Suite Plug-in now extends Enterprise Manager’s privilege delegation through Sudo and PowerBroker to Oracle E-Business Suite Plug-in host targets.  Privileges and Roles for Managing Oracle E-Business Suite: This release includes new ready-to-use target and resource privileges to monitor, manage, and perform Change Management functionality.  Cloning: Named Credentials Uptake in Cloning: The Clone module transactions now let users leverage the Named Credential feature introduced in Enterprise Manager 12c, thereby passing all the benefits of Named Credentials features in Enterprise Manager to the Oracle E-Business Suite Plug-in users.  Smart Clone improvements: The new and improved Smart Clone UI supports the adding of "pre and post" custom steps to a copy of the ready-to-use cloning deployment procedure. Now a user can pass parameters to the custom steps through the interview screen of the UI as well as pass ready-to-use parameters to the custom steps.  Change Management Enhancements Application Management Suite for Oracle E-Business Suite provides a centralized view to monitor and orchestrate changes (both functional and technical) across multiple Oracle E-Business Suite systems. In this latest release, it provides even more control and flexibility in managing Oracle E-Business Suite changes. Customization Manager: Support for longer file names: Customization Manager now handles file names up to thirty characters in length.  Patch Manager: Queuing of Patch Manager Runs: This feature allows patch runs to queue up if Patch Manager detects a specific target is in a blackout state.  Multi-node system patching: The patch run interview has been enhanced to allow Enterprise Manager Administrator to choose which nodes adpatch will run on.  New AD Administration Options: The patch run interview has been extended to include AD Administration Options "Relink Application Programs", "Generate Product Jars Files", "Generate Report Files", and "Generate Form Files".  Release Technical Details Product documentation for the plug-in is available on My Oracle Support as note 1434392.1.  The Oracle E-Business Suite Plug-in can be accessed in one of the following ways:  Fresh install  Enterprise Manager Store  Oracle Software Delivery Cloud Upgrades  Oracle Technology Network Please refer to the Application Management Pack for Oracle E-Business Suite Guide for further details.  Related Software Component Oracle Real User Experience Insight 12.1.0.0.1  Product documentation is available on Oracle Technology Network in the "Oracle Enterprise Manager 12c Release 1 (12.1) Documentation" set under the "Associated Document" tab. (http://docs.oracle.com/cd/E26370_01/index.htm)  Product may be downloaded individually from Oracle Technology Network software download page for Oracle Enterprise Manager under "Additional Enterprise Manager Downloads." (http://www.oracle.com/technetwork/oem/grid-control/downloads/index.html)  Product may also be downloaded individually from the Oracle Software Delivery Cloud. Select "Oracle Enterprise Manager" product pack, "Oracle Real User Experience Insight 12c Release 1 Media Pack for x8  Collateral Can be accessed on the Application Management Page on Oracle Technology Network

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• Version control and data provenance in charts, slides, and marketing materials that derive from code ouput

  - by EMS

  I develop as part of a small team that mostly does research and statistics stuff. But from the output of our code, other teams often create promotional materials, slides, presentations, etc. We run into a big problem because the marketing team (non-programmers) tend to use Excel, Adobe products, or other tools to carry out their work, and just want easy-to-use data formats from us. This leads to data provenance problems. We see email chains with attachments from 6 months ago and someone is saying "Hey, who generated this data. Can you generate more of it with the recent 6 months of results added in?" I want to help the other teams effectively use version control (my team uses it reasonably well for the code, but every other team classically comes up with many excuses to avoid it). For version controlling a software project where the participants are coders, I have some reasonable understanding of best practices and what to do. But for getting a team of marketing professionals to version control marketing materials and associate metadata about the software used to generate the data for the charts, I'm a bit at a loss. Some of the goals I'd like to achieve: Data that supported a material should never be associated with a person. As in, it should never be the case that someone says "Hey Person XYZ, I see you sent me this data as an attachment 6 months ago, can you update it for me?" Rather, data should be associated with the code and code-version of any code that was used to get it, and perhaps a team of many people who may maintain that code. Then references for data updates are about executing a specific piece of code, with a known version number. I'd like this to be a process that works easily with the tech that the marketing team already uses (e.g. Excel files, Adobe file, whatever). I don't want to burden them with needing to learn a bunch of new stuff just to use version control. They are capable folks, so learning something is fine. Ideally they could use our existing version control framework, but there are some issues around that. I think knowing some general best practices will be enough though, and I can handle patching that into the way our stuff works now. Are there any goals I am failing to think about? What are the time-tested ways to do something like this?

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• 2008 Datacenter over Enterprise

  - by thushya

  Hi there, What are the advantages using windows 2008 Datacenter over Enterprise licensing ? Thanks.

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• Any code quality tool for pl/sql?

  - by Serkan Kasapbasi

  Hi, is there any tool, library that can analyze plsql code, like PMD/CheckStyle do for Java ?

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• Orchestrating the Virtual Enterprise, Part I

  - by Kathryn Perry

  A guest post by Jon Chorley, Oracle's Chief Sustainability Officer & Vice President, SCM Product Strategy During the American Industrial Revolution, the Ford Motor Company did it all. It turned raw materials into a showroom full of Model Ts. It owned a steel mill, a glass factory, and an automobile assembly line. The company was both self-sufficient and innovative and went on to become one of the largest and most profitable companies in the world. Nowadays, it's unusual for any business to follow this vertical integration model because its much harder to be best in class across such a wide a range of capabilities and services. Instead, businesses focus on their core competencies and outsource other business functions to specialized suppliers. They exchange vertical integration for collaboration. When done well, all parties benefit from this arrangement and the collaboration leads to the creation of an agile, lean and successful "virtual enterprise." Case in point: For Sun hardware, Oracle outsources most of its manufacturing and all of its logistics to third parties. These are vital activities, but ones where Oracle doesn't have a core competency, so we shift them to business partners who do. Within our enterprise, we always retain the core functions of product development, support, and most of the sales function, because that's what constitutes our core value to our customers. This is a perfect example of a virtual enterprise.  What are the implications of this? It means that we must exchange direct internal control for indirect external collaboration. This fundamentally changes the relative importance of different business processes, the boundaries of security and information sharing, and the relationship of the supply chain systems to the ERP. The challenge is that the systems required to support this virtual paradigm are still mired in "island enterprise" thinking. But help is at hand. Developments such as the Web, social networks, collaboration, and rules-based orchestration offer great potential to fundamentally re-architect supply chain systems to better support the virtual enterprise.  Supply Chain Management Systems in a Virtual Enterprise Historically enterprise software was constructed to automate the ERP - and then the supply chain systems extended the ERP. They were joined at the hip. In virtual enterprises, the supply chain system needs to be ERP agnostic, sitting above each of the ERPs that are distributed across the virtual enterprise - most of which are operating in other businesses. This is vital so that the supply chain system can manage the flow of material and the related information through the multiple enterprises. It has to have strong collaboration tools. It needs to be highly flexible. Users need to be able to see information that's coming from multiple sources and be able to react and respond to events across those sources.  Oracle Fusion Distributed Order Orchestration (DOO) is a perfect example of a supply chain system designed to operate in this virtual way. DOO embraces the idea that a company's fulfillment challenge is a distributed, multi-enterprise problem. It enables users to manage the process and the trading partners in a uniform way and deliver a consistent user experience while operating over a heterogeneous, virtual enterprise. This is a fundamental shift at the core of managing supply chains. It forces virtual enterprises to think architecturally about how best to construct their supply chain systems. In my next post, I will share examples of companies that have made that shift and talk more about the distributed orchestration process.

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• What does it mean to treat data as an asset?

  What does it mean to treat data as an asset? When considering this concept, we must define what data is and how it can be considered an asset. Data can easily be defined as a collection of stored truths that are open to interpretation and manipulation.  Expanding on this definition, data can be viewed as a set of captured facts, measurements, and ideas used to make decisions. Furthermore, InvestorsWords.com defines asset as any item of economic value owned by an individual or corporation. Now let’s apply this definition of asset to our definition of data, and ask the following question. Can facts, measurements and ideas be items that are of economic value owned by an individual or corporation? The obvious answer is yes; data can be bought and sold like commodities or analyzed to make smarter business decisions.  We can look at the economic value of data in one of two ways. First, data can be sold as a commodity that can take the form of goods like eBooks, Training, Music, Movies, and so on. Customers are willing to pay to gain access to this data for their consumption. This directly implies that there is an economic value for data in the form of a commodity because customers see a value in obtaining it.  Secondly data can be used in making smarter business decisions that allow for companies to become more profitable and/or reduce their potential for risk in regards to how they operate.  In the past I have worked at companies where we had to analyze previous sales activities in conjunction with current activities to determine how the company was preforming for the quarter.  In addition trends can be formulated based on existing data that allow companies to forecast data so that they can make strategic business decisions based sound forecasted data. Companies that truly value their data are constantly trying to grow and upgrade their data and supporting applications because it is the life blood of a company. If we look at an eBook retailer for example, imagine if they lost all of their data. They would be in essence forced out of business because they would have nothing to sell. In turn, if we look at a company that was using data to facilitate better decision making processes and they lost all of their data then they could be losing potential revenue and/ or increasing the company’s losses by making important business decisions virtually in the dark compared to when they were made on solid data.

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• android imageview scrolling to display full high quality image

  - by Javadid

  hi friends... i am working on displaying an image and placing an icon on top of it... clicking the icon will show an enlarged version of the image... though putting the imageview holding the image in a LinearLayout scales the image to the width of the dialog, the problem is that i need to display the image in a dialog but the image is very high resolution and hence is far bigger than the width of the dialog... I need to show the actual image with scrolling for both ways to see the whole image... But whenever i try putting the imageView in a scrollview the top of my imageview is blank... and again though image scrolls downwards the width is scaled to the width of the dialog... Helppppppppp guys....

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• Perl debugger quality

  - by Hermann Ingjaldsson

  Which Perl debugger is the best? I always use ptkdb. It's really good except that it has a limited support for shortcuts.

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• SAP rachète TECHNIDATA , une société spécialisée dans les solutions de gestion des processus liés à

  SAP rachète TECHNIDATA , une société spécialisée dans les solutions de gestion des processus liés à l'hygiène industrielle SAP L'éditeur allemand d'ERP a acquis son partenaire TECHNIDATA, une société spécialisée dans le développement de solutions informatiques à destination des entreprises pour la gestion des processus liés à l'hygiène industrielle. [IMG]http://djug.developpez.com/rsc/tdlogo.gif[/IMG] Cette acquisition va permettre à SAP de renforcer sa position dans le domaine des solutions orientées EHS (environmental, health and safety),vu que TECHNIDATA dispose d'un catalogue riche qui contient des solutions permettant au entreprises d'être en conformer aux législations environnementale, sanitai...

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• What are some high quality Enterprise Architecture conferences or training programs?

  - by Stimy

  I am looking for a conference or training which will give me a broad exposure to enterprise level software architecture. I've been with the same company for 10 years and we've grown to the size where we really need to lay out a framework for the applications which support our company's business. The organic growth over the last 10 years has left us with a tightly coupled and fairly messy set of applications. We need to do a better job at componentizing our business entities and have more rigorous control on the interfaces between those entities and our business processes. I'm looking to get a broad, yet practical exposure on design patterns to support that architecture (SOA, messaging, ESB's etc). I'm hoping to gain insight from folks who have direct experience with implementing or working with what would be considered an enterprise class architecture.

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• Working with Spatial Data Part II - Plotting Shapes and Storing Geocoded Data

  Continuing from Part I of the Spatial Data series we model an in-memory/persistent data repository for storing geocoded data and plot the data.

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• How to stop ADO Data Service from sending 'MetaData' with the Data

  - by ActionFactory

  I'm using MS Data Service to send JSON. (Using a View in the DB) Problem is that it sends "__metadata": { "uri":"ALL THE DATA REPEATED"} with the Data - each time. This doubles our Data over the wire each call. THERE MUST BE A WAY TO TURN THIS OFF!!! WHO KNOWS HOW? THX

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• Data Virtualization: Federated and Hybrid

  - by Krishnamoorthy

  Data becomes useful when it can be leveraged at the right time. Not only enterprises application stores operate on large volume, velocity and variety of data. Mobile and social computing are in the need of operating in foresaid data. Replicating and transferring large swaths of data is one challenge faced in the field of data integration. However, smaller chunks of data aggregated from a variety of sources presents and even more interesting challenge in the industry. Over the past few decades, technology trends focused on best user experience, operating systems, high performance computing, high performance web sites, analysis of warehouse data, service oriented architecture, social computing, cloud computing, and big data. Operating on the ‘dark data’ becomes mandatory in the future technology trend, although, no solution can make dark data useful data in a single day. Useful data can be quantified by the facts of contextual, personalized and on time delivery. In most cases, data from a single source may not be complete the picture. Data has to be combined and computed from various sources, where data may be captured as hybrid data, meaning the combination of structured and unstructured data. Since related data is often found across disparate sources, effectively integrating these sources determines how useful this data ultimately becomes. Technology trends in 2013 are expected to focus on big data and private cloud. Consumers are not merely interested in where data is located or how data is retrieved and computed. Consumers are interested in how quick and how the data can be leveraged. In many cases, data virtualization is the right solution, and is expected to play a foundational role for SOA, Cloud integration, and Big Data. The Oracle Data Integration portfolio includes a data virtualization product called ODSI (Oracle Data Service Integrator). Unlike other data virtualization solutions, ODSI can perform both read and write operations on federated/hybrid data (RDBMS, Webservices,  delimited file and XML). The ODSI Engine is built on XQuery, hence ODSI user can perform computations on data either using XQuery or SQL. Built in data and query caching features, which reduces latency in repetitive calls. Rightly positioning ODSI, can results in a highly scalable model, reducing spend on additional hardware infrastructure.

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• Latest Business Analytics Support News has been released

  - by paul.a

  The latest edition of Business Analytics Support News is now available. You can read our quarterly newsletter Volume 5 Doc ID 1347131.1Featured topics include details on Smartview 64-Bit Support Patch Set Update information for various products Social Media for EPM Documentation plus more Did you miss any of the newsletters and want to find archived copies?  Volumes one to four are all listed on the News Index Doc ID 1347159.1 To ensure you don't miss out on future releases and recent changes you can subscribe to the Product News.More details about the subscription are outlined in the volume 5 "Subscribe to Product Support News" section.

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• Python what's the data structure for triple data

  - by Paul

  I've got a set of data that has three attributes, say A, B, and C, where A is kind of the index (i.e., A is used to look up the other two attributes.) What would be the best data structure for such data? I used two dictionaries, with A as the index of each. However, there's key errors when the query to the data doesn't match any instance of A.

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• Implementing a generic repository for WCF data services

  - by cibrax

  The repository implementation I am going to discuss here is not exactly what someone would call repository in terms of DDD, but it is an abstraction layer that becomes handy at the moment of unit testing the code around this repository. In other words, you can easily create a mock to replace the real repository implementation. The WCF Data Services update for .NET 3.5 introduced a nice feature to support two way data bindings, which is very helpful for developing WPF or Silverlight based application but also for implementing the repository I am going to talk about. As part of this feature, the WCF Data Services Client library introduced a new collection DataServiceCollection<T> that implements INotifyPropertyChanged to notify the data context (DataServiceContext) about any change in the association links. This means that it is not longer necessary to manually set or remove the links in the data context when an item is added or removed from a collection. Before having this new collection, you basically used the following code to add a new item to a collection. Order order = new Order {   Name = "Foo" }; OrderItem item = new OrderItem {   Name = "bar",   UnitPrice = 10,   Qty = 1 }; var context = new OrderContext(); context.AddToOrders(order); context.AddToOrderItems(item); context.SetLink(item, "Order", order); context.SaveChanges(); Now, thanks to this new collection, everything is much simpler and similar to what you have in other ORMs like Entity Framework or L2S. Order order = new Order {   Name = "Foo" }; OrderItem item = new OrderItem {   Name = "bar",   UnitPrice = 10,   Qty = 1 }; order.Items.Add(item); var context = new OrderContext(); context.AddToOrders(order); context.SaveChanges(); In order to use this new feature, you first need to enable V2 in the data service, and then use some specific arguments in the datasvcutil tool (You can find more information about this new feature and how to use it in this post). DataSvcUtil /uri:"http://localhost:3655/MyDataService.svc/" /out:Reference.cs /dataservicecollection /version:2.0 Once you use those two arguments, the generated proxy classes will use DataServiceCollection<T> rather than a simple ObjectCollection<T>, which was the default collection in V1. There are some aspects that you need to know to use this feature correctly. 1. All the entities retrieved directly from the data context with a query track the changes and report those to the data context automatically. 2. A entity created with “new” does not track any change in the properties or associations. In order to enable change tracking in this entity, you need to do the following trick. public Order CreateOrder() {   var collection = new DataServiceCollection<Order>(this.context);   var order = new Order();   collection.Add(order);   return order; } You basically need to create a collection, and add the entity to that collection with the “Add” method to enable change tracking on that entity. 3. If you need to attach an existing entity (For example, if you created the entity with the “new” operator rather than retrieving it from the data context with a query) to a data context for tracking changes, you can use the “Load” method in the DataServiceCollection. var order = new Order {   Id = 1 }; var collection = new DataServiceCollection<Order>(this.context); collection.Load(order); In this case, the order with Id = 1 must exist on the data source exposed by the Data service. Otherwise, you will get an error because the entity did not exist. These cool extensions methods discussed by Stuart Leeks in this post to replace all the magic strings in the “Expand” operation with Expression Trees represent another feature I am going to use to implement this generic repository. Thanks to these extension methods, you could replace the following query with magic strings by a piece of code that only uses expressions. Magic strings, var customers = dataContext.Customers .Expand("Orders")         .Expand("Orders/Items") Expressions, var customers = dataContext.Customers .Expand(c => c.Orders.SubExpand(o => o.Items)) That query basically returns all the customers with their orders and order items. Ok, now that we have the automatic change tracking support and the expression support for explicitly loading entity associations, we are ready to create the repository. The interface for this repository looks like this,public interface IRepository { T Create<T>() where T : new(); void Update<T>(T entity); void Delete<T>(T entity); IQueryable<T> RetrieveAll<T>(params Expression<Func<T, object>>[] eagerProperties); IQueryable<T> Retrieve<T>(Expression<Func<T, bool>> predicate, params Expression<Func<T, object>>[] eagerProperties); void Attach<T>(T entity); void SaveChanges(); } The Retrieve and RetrieveAll methods are used to execute queries against the data service context. While both methods receive an array of expressions to load associations explicitly, only the Retrieve method receives a predicate representing the “where” clause. The following code represents the final implementation of this repository.public class DataServiceRepository: IRepository { ResourceRepositoryContext context; public DataServiceRepository() : this (new DataServiceContext()) { } public DataServiceRepository(DataServiceContext context) { this.context = context; } private static string ResolveEntitySet(Type type) { var entitySetAttribute = (EntitySetAttribute)type.GetCustomAttributes(typeof(EntitySetAttribute), true).FirstOrDefault(); if (entitySetAttribute != null) return entitySetAttribute.EntitySet; return null; } public T Create<T>() where T : new() { var collection = new DataServiceCollection<T>(this.context); var entity = new T(); collection.Add(entity); return entity; } public void Update<T>(T entity) { this.context.UpdateObject(entity); } public void Delete<T>(T entity) { this.context.DeleteObject(entity); } public void Attach<T>(T entity) { var collection = new DataServiceCollection<T>(this.context); collection.Load(entity); } public IQueryable<T> Retrieve<T>(Expression<Func<T, bool>> predicate, params Expression<Func<T, object>>[] eagerProperties) { var entitySet = ResolveEntitySet(typeof(T)); var query = context.CreateQuery<T>(entitySet); foreach (var e in eagerProperties) { query = query.Expand(e); } return query.Where(predicate); } public IQueryable<T> RetrieveAll<T>(params Expression<Func<T, object>>[] eagerProperties) { var entitySet = ResolveEntitySet(typeof(T)); var query = context.CreateQuery<T>(entitySet); foreach (var e in eagerProperties) { query = query.Expand(e); } return query; } public void SaveChanges() { this.context.SaveChanges(SaveChangesOptions.Batch); } } For instance, you can use the following code to retrieve customers with First name equal to “John”, and all their orders in a single call. repository.Retrieve<Customer>(    c => c.FirstName == “John”, //Where    c => c.Orders.SubExpand(o => o.Items)); In case, you want to have some pre-defined queries that you are going to use across several places, you can put them in an specific class. public static class CustomerQueries {   public static Expression<Func<Customer, bool>> LastNameEqualsTo(string lastName)   {     return c => c.LastName == lastName;   } } And then, use it with the repository. repository.Retrieve<Customer>(    CustomerQueries.LastNameEqualsTo("foo"),    c => c.Orders.SubExpand(o => o.Items));

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• Voting on Hacker News stories programmatically?

  - by igorgue

  I decided to write an app like: http://michaelgrinich.com/hackernews/ but for Android devices, my idea will use a web application backend (because I rather code in Python and for the web than completely in Java for Android devices). What I have right now implemented is something like this: $ curl -i http://localhost:8080/stories.json?page=1\&stories=1 HTTP/1.0 200 OK Date: Sun, 25 Apr 2010 07:59:37 GMT Server: WSGIServer/0.1 Python/2.6.5 Content-Length: 296 Content-Type: application/json [{"title": "Don\u2019t talk to aliens, warns Stephen Hawking", "url": "http://www.timesonline.co.uk/tol/news/science/space/article7107207.ece?", "unix_time": 1272175177, "comments": 15, "score": 38, "user": "chaostheory", "position": 1, "human_time": "Sun Apr 25 01:59:37 2010", "id": "1292241"}] The next step (and final I think) is voting, my design is doing something like this: $ curl -i http://localhost:8080/stories/1?vote=up -u username:password Will vote up and: $ curl -i http://localhost:8080/stories/1?vote=down -u username:password Down. I have no idea how to do it though... I was planning to use Twill but the login link is always different, e.g.: http://news.ycombinator.com/x?fnid=7u89ccHKln Later the Android app will consume this API. Any experience with programmatically browsing Hacker News?

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• data structure for counting frequencies in a database table-like format

  - by user373312

  i was wondering if there is a data structure optimized to count frequencies against data that is stored in a database table-like format. for example, the data comes in a (comma) delimited format below. col1, col2, col3 x, a, green x, b, blue ... y, c, green now i simply want to count the frequency of col1=x or col1=x and col2=green. i have been storing the data in a database table, but in my profiling and from empirical observation, database connection is the bottle-neck. i have tried using in-memory database solutions too, and that works quite well; the only problem is memory requirements and quirky init/destroy calls. also, i work mainly with java, but have experience with .net, and was wondering if there was any api to work with "tabular" data in a linq way using java. any help is appreciated.

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• Oracle Big Data Software Downloads

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

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

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