Oracle Announces Oracle Big Data Appliance X3-2 and Enhanced Oracle Big Data Connectors

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Published on Mon, 17 Dec 2012 18:29:03 +0000 Indexed on 2012/12/17 23:09 UTC
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Enables Customers to Easily Harness the Business Value of Big Data at Lower Cost

Engineered System Simplifies Big Data for the Enterprise

Oracle Big Data Appliance X3-2 hardware features the latest 8-core Intel® Xeon E5-2600 series of processors, and compared with previous generation, the 18 compute and storage servers with 648 TB raw storage now offer:
  • 33 percent more processing power with 288 CPU cores;
  • 33 percent more memory per node with 1.1 TB of main memory;
  • and up to a 30 percent reduction in power and cooling
Oracle Big Data Appliance X3-2 further simplifies implementation and management of big data by integrating all the hardware and software required to acquire, organize and analyze big data. It includes:
  • Support for CDH4.1 including software upgrades developed collaboratively with Cloudera to simplify NameNode High Availability in Hadoop, eliminating the single point of failure in a Hadoop cluster;
  • Oracle NoSQL Database Community Edition 2.0, the latest version that brings better Hadoop integration, elastic scaling and new APIs, including JSON and C support;
  • The Oracle Enterprise Manager plug-in for Big Data Appliance that complements Cloudera Manager to enable users to more easily manage a Hadoop cluster;
  • Updated distributions of Oracle Linux and Oracle Java Development Kit;
  • An updated distribution of open source R, optimized to work with high performance multi-threaded math libraries

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Connectors Integrate Hadoop with Oracle Big Data Ecosystem

Oracle Big Data Connectors is a suite of software built by Oracle to integrate Apache Hadoop with Oracle Database, Oracle Data Integrator, and Oracle R Distribution. Enhancements to Oracle Big Data Connectors extend these data integration capabilities. With updates to every connector, this release includes:
  • Oracle SQL Connector for Hadoop Distributed File System, for high performance SQL queries on Hadoop data from Oracle Database, enhanced with increased automation and querying of Hive tables and now supported within the Oracle Data Integrator Application Adapter for Hadoop;
  • Transparent access to the Hive Query language from R and introduction of new analytic techniques executing natively in Hadoop, enabling R developers to be more productive by increasing access to Hadoop in the R environment.

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