Big Data.

According to IDC, global data will reach 10 trillion TB in 2015, and the annual composite growth rate will reach 38% in 2020. Due to the lower cost of data, the rapid increase of data volume, coupled with the emergence of new data sources and data technology has evolved a variety of data types. Big data is waving at us. With large data, large data analysis and proper management will have a great impact on the enterprise data center. As the world's largest database software company, Oracle is in time to launch a number of technology products for large data to meet the needs of enterprises and enhance their own value.

"Oracle Large data machines together with Oracle Exadata database cloud servers, Oracle exalytics business Intelligence cloud servers, and Oracle Exalogic middleware cloud Servers form Oracle's broadest portfolio of highly integrated system products, is to help customers acquire and manage various types of data, and analyze them together with existing enterprise data to gain new insights to make the most appropriate decisions with full access to information. Oracle Data Warehouse Technology Vice President Cetin Ozbutun the Oracle Big Data coping tactics. Eyes with small weave to see some.

Oracle Large Data machine

2012 In the spring, Oracle in the global also immersed in the new Year radiant atmosphere, the introduction of large data machine to entertain, for the future of large data analysis and management to provide support.

Oracle Big Data Appliance is a software and hardware integration system that incorporates the Cloudera distribution including Apache Hadoop, Cloudera Manager and an open source R. The large data machine employs an Oracle Linux operating system and is equipped with Oracle NoSQL database community version and Oracle HotSpot Java Virtual machine.

Oracle large data machine with 18 Oracle Sun Server full rack configuration, a total of 864GB main memory, 216 core CPU, 648TB raw disk storage space, in the node and other Oracle integrated systems with the adoption of 40gb/ S InfiniBand link and 10gb/s Ethernet data Center connection, simultaneously through the InfiniBand network connection multiple racks to upgrade the expansion, enables itself to obtain, organizes and analyzes the massive data. The system is designed to simplify the implementation and management of large data projects, aiming at the large data demand of enterprises. At the same time, Oracle large data machine can be deployed to optimize the enterprise Data Warehouse.

Oracle Large data machines have the power to optimize the enterprise Data Warehouse, mainly because it is equipped with Oracle Big connectors software. The software is Oracle's newest software PRODUCT designed to help customers consolidate data stored in Hadoop and Oracle NoSQL database centers using Oracle database 11g.

The new Oracle Large data machine provides a strong, scalable system for data management, a platform to block, process, and analyze large data in Hadoop and use R to analyze raw data. In addition, by integrating all components of software and hardware into a single data solution to help customers control it costs while optimizing their own data warehouses.

Oracle Exadata Database Cloud Server

Oracle Exadata Database Cloud Server (Oracle Exadata DB Machine) consists of software and hardware, which work in an integrated manner for customer service and are simultaneously available for data warehousing and online transaction processing (OLTP) The application software provides a high-performance database machine and is a pre debugging system that supports enterprise OLTP applications. This cloud server includes applications such as Oracle E-Business Suite, Oracle Siebel CRM, Oracle PeopleSoft Enterprise, etc.

Oracle Exadata

Oracle exadata Database Cloud server uses Exadata Mature system architecture to effectively reduce it total cost. At the same time, to provide the overall optimization performance, the Enterprise-class RAS features, and to save room space, energy saving and management to achieve intelligence, reduce TCO. Exadata is a database cloud service platform that provides effective solutions for customer integration of database systems and the design and operation of database cloud services to help customers achieve data security operations and secure high storage of cloud computing from IaaS to PAAs and SaaS three levels.

Oracle Exadata Database Cloud Server uses a variety of Oracle-specific key performance technologies to achieve data analysis and management. For example, it is possible to unload part of the compute load to the parallel intelligent storage layer and transmit only the smartscan of the filtered useful data, with up to 5.3TB Smartflashcache to improve the random I/O performance, by obtaining the EHCC of 10-50 times ultra-high compression ratio, To reduce storage costs while increasing disk I/O efficiency, and so on. At present, the technical product configuration has four sections, respectively, Oracle exadatax2-8, Oracle Exadatax2-2 One-fourth, half frame and the whole rack system. Applicable database application scenarios include database; BI systems, large-scale, parallel, fast processing of large amounts of data, dw/bi/datamart/report System/Analysis System, transaction system (OLTP) class system, database and storage grid technology; ERP Finance/Bookkeeping, mixed load class systems, database and I/O resource management, Database Cloud (DBaaS) platform, etc.