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Articles for the keywords: Oracle
18 May 2013 Delivering Cloud Services to the State of Texas [31006]
An Oracle Enterprise Architecture White Paper

"Most government organizations spend a significant portion of their technology budgets procuring and maintaining information technology (IT) infrastructure, platforms, and applications. Purchasing hardware, upgrading software, and hiring administrators is a major undertaking, often consuming resources needed for other activities.

The State of Texas is setting a progressive example for other state governments by relying on cloud service providers to provision IT resources to dozens of state agencies. Led by the Texas Department of Information Resources (DIR), the state is creating the Texas Cloud Marketplace, a private cloud that utilizes engineered systems such as Oracle Exadata and Oracle Exalogic to deliver new technology while fulfilling legislative mandates. Oracle is helping to transform the state’s widespread infrastructure, which spans hundreds of databases and tens of thousands of applications. The billion-dollar consolidation project was designed to help 300,000 government employees serve 25 million citizens in a more flexible and cost-effective way."
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18 May 2013 Java Spotlight Episode 132: Shing Wai Chan on JSR 340 Servlet 3.1 [31008]
Dr. Shing Wai Chan, Principal Member of Technical Staff at Oracle Corporation

"Dr. Shing Wai Chan is a Principal Member of Technical Staff at Oracle Corporation, specializing in J2EE, Java EE, application servers, web containers, and security. He is Spec Lead for JSR 340, Java Servlet 3.1 Specification, as well as implementation lead on the web container in GlassFish, the Reference Implementation (RI) of Java EE. Previously he was an Expert Group member helping develop JSR 196, Java Authentication Service Provider Interface for Containers (JASPIC), and he also worked on its RI, as well as the RIs for JSR 115, Java Authorization Contract for Containers (JACC); JSR 250, Common Annotations for the Java Platform; and JSR 315, Java Servlet 3.0 Specification..."
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16 May 2013 Operational Siloes Hinder Effectiveness of Cloud Applications [31001]
Independent Report - Cloud for Business Managers: the Good, the Bad, and the Ugly

Organizations are looking to the cloud to change not only how they buy and consume IT, but also how cloud actually impacts the business. In fact, one of the main drivers for organizations deploying cloud applications is to improve operational agility and effectiveness. To determine if cloud applications are delivering on this promise, Oracle partnered with market research firm Dynamic Markets to survey 1,355 executives from companies across the world with revenues of $65 million or more. The results showed that operational silos are often preventing organizations from realizing the promise of improved business performance and highlighted the need for a broad set of integrated cloud applications.
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10 May 2013 Oracle Linux [30915]
Market Share: All Software Markets, Worldwide, 2012

Recently Gartner published a report highlighting among other things ,Operating System revenue, growth and marketshare.

Below is an estimation by Gartner based on hardware sales, customer momentum info, etc

  • Oracle Linux has @6% of Linux market in 2012
  • Oracle Linux grew @83% since 2011
  • Oracle Linux revenues from 2012 estimated @$81 million

If you have access to Gartner Research, view the full report with the following info: "Market Share: All Software Markets, Worldwide, 2012" Published: 29 March 2013, Doc ID:G00250553
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10 May 2013 Big Data Gets Real-time with Oracle Fast Data [30918]
Video from the Oracle Fast Data Product Marketing Team

If you have been following Oracle Fast Data Product Marketing Team on #OracleFastData you know that in order to keep up with today's high volumes of data and the ever-increasing number of mobile and device connections, every organization needs to process very large volumes of dynamically changing data. Though high-velocity data brings high value, especially to volatile business processes, some of this data loses its operational value in a short time frame. To extract the maximum value from highly dynamic and perishable data, data needs to be processed very quickly so that timely actions can be taken.

In previous posts the team talked about the main ingredients for implementing Fast Data architectures. If you missed our screencast, you can watch it now...
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