New Releases of Oracle Big Data Appliance and Big Data Connectors Help Businesses Leverage Big Data

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New releases of the Oracle Big Data Appliance and Oracle Big Data Connectors are now available. Oracle Big Data Appliance X3-2 is an engineered system of hardware and software that has been upgraded to include Intel’s new processors and the latest release (4.1) of Cloudera’s Distribution including Apache Hadoop (CDH) and Cloudera Manager, as well as the new Oracle Enterprise Manager plug-in for Big Data Appliance.

Oracle Big Data Connectors have also been enhanced to enable greater SQL access to Hadoop from Oracle Database and to enable more transparent access to Hadoop from R.  When used in conjunction with Oracle Exadata Database Machine and Oracle Exalytics, the appliance and connectors provide a full set of engineered systems to acquire, organize, and analyze big data. The latest releases provide more processing power, memory capacity, enhanced integration and management capabilities.

Oracle Big Data Appliance X3-2 hardware includes the latest 8-core Intel Xeon E5-2600 series of processors, and compared with previous generation, says Oracle, the 18 compute and storage servers with 648 TB raw storage now offer 33% more processing power with 288 CPU cores, 33% more memory per node with 1.1 TB of main memory, and up to a 30% reduction in power and cooling.

Oracle Big Data Appliance X3-2 also simplifies implementation and management of big data by integrating all the hardware and software required to acquire, organize and analyze big data. It includes Oracle NoSQL Database Community Edition 2.0, 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, and an updated distribution of open source R, optimized to work with high performance multi-threaded math libraries.

Recently, the National Cancer Institute (NCI) Funded Frederick National Library won the 2012 Government Big Data Solution Award for its work using the Oracle Big Data Appliance with the Cloudera Distribution of Apache Hadoop (CDH) to build an infrastructure capable of cross-referencing the relationships between 17,000 genes and five major cancer subtypes across 20 million biomedical publication abstracts.

More information about the Oracle Big Data Appliance and Oracle Big Data Connectors is available.