Oracle announces latest version of Oracle large data machine and large data connector

BEIJING, December 28, 2012--Oracle has announced the latest version of Oracle Big Data Machine (Oracle DA Appliance) and Oracle Large Data connector (Oracle Big date connectors) The aim is to help enterprises win large data development opportunities to realize their business transformation.

Oracle Large Data Machine x3-2 is a cost-effective hardware and software integration System, and has been a new upgrade. It consolidates Intel's new processors and the most recently released Cloudera partitions, including the Apache Hadoop (CDH) and Cloudera managers, as well as the latest Oracle Enterprise Manager plug-ins for large data machines.

The performance of the latest Oracle large data connectors has been significantly enhanced to support SQL language access to Hadoop from Oracle databases and to more transparently access Hadoop from the R partition.

Oracle Large data machines and Oracle large data connectors can be used in conjunction with Oracle Exadata database cloud servers and Oracle Exalytics business Intelligence cloud servers to form a complete integrated system to capture, organize, and analyze large data. The latest releases provide greater processing power, memory capacity, and enhanced integration and management capabilities.

Recently, the Frederick National Library, funded by the National Cancer Institute (NCI), supported the Oracle large data machine and its Apache Hadoop (CDH) Cloudera partition to achieve 20 million biological samples were compared between 17,000 genes and five major cancer subtypes. , which won the 2012 Government Big Data Solution Award.

Integrated system simplifies enterprise large data

Oracle Large Data machine x3-2 hardware contains the latest 8 core Intel®xeon e5-2600 series processors. Compared with the previous generation, based on its 18 computing and storage servers with 648 TB raw storage, you can implement:

288 CPU cores are used to improve the processing capacity of 33%;

Increase memory capacity of more than 33% per node by 1.1 TB main memory;

Save up to 30% power and cooling energy.

Oracle Large Data Machine X3-2 simplifies the implementation and management of large data by integrating the hardware and software needed to acquire, organize, and analyze large data, including:

CDH4.1, which supports software upgrades developed with Cloudera, further simplifies namenode high availability in Hadoop while eliminating single points of failure for a Hadoop cluster;

The latest version of Oracle NoSQL Database Community version 2.0 enables better Hadoop integration, resilient scalability, and new application Interface (APIS), as well as support for languages such as JSON and C;

The Oracle Enterprise Manager plug-in with large data machine has perfected the Cloudera manager, making it easier for users to manage Hadoop cluster;

Oracle Linux partition and Oracle Java Development Kit upgrade package;

Open source R partition upgrade package, optimized for high-performance multithreaded math library.

Connectors enable the integration of Hadoop and Oracle large data ecosystems

Oracle Large data connectors are built-in software designed to integrate Apache Hadoop with Oracle databases, Oracle data integrators, and Oracle R partitions.

Enhanced Oracle Large data connectors, which enhance data integration capabilities. With each connector update, this version includes:

Oracle SQL connectors for Hadoop Distributed file Systems, and high-performance SQL queries for Oracle database Hadoop data, enabling Oracle Data Integration application adapters for Hadoop support with increased automation and hive-table queries ；

Transparent access to the Hive query language from R partitions, as well as the introduction of the latest analysis technology running in Hadoop, makes it easier for r developers to access Hadoop in the R partition, thereby significantly increasing their productivity.

Oracle Executive Introduction

"At the moment, raw data is pouring into every enterprise," says Cetin Ozbutun, vice president of Oracle's Data Warehouse and big data technology. For companies, however, they are not ready. Before the potential of this data can be fully realized, enterprises need to know how to organize these diverse data sources. The latest version of this release further enhances the customer's ability to optimize large data workloads and integrate them with the data Warehouse, enabling businesses to easily analyze all data. ”

"An increasing number of companies are hungry for sophisticated, reliable and enterprise-oriented tools to support their big data projects," says Mike Olson, chief executive of the Cloudera company. Optimized for Hadoop, the Oracle large data machine, supported by Cloudera, provides an easy to manage Hadoop platform for businesses to fully meet current enterprise needs for large data development.