Oracle(Big Data)
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Oracle Big Data | |
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Type | Public |
Industry | Enterprise analytics software. |
Founded | October 3rd,2011. |
Headquarters | 500 Oracle parkway, Redwood shores, CA 94065 |
Number of employees | 135,070 |
Related Certifications | Certificate in Data Science Industry Overview |
Oracle provides products and solutions for Management, Analytics and Integration of Big Data. The company also provides Big Data Cloud and SQL Cloud Services. Big data is defined by concept of 4 V's ,i.e., high velocity,large volume, many varieties and varacity.
The company's Big Data Appliance, referred as Oracle Big Data Appliance has a pre-integrated full rack configuration with 18 of Oracle's Sun x86 servers and InfiniBand and Ethernet connectivity to simplify implementation and management. The X6-2 Starter Rack version of the appliance contains six Oracle Sun x86 servers within a full-sized rack with redundant Infiniband switches and power distribution units. The Appliance's Elastic Configuration expands any configuration in one node increments up to a full rack of 18 nodes. The solutions also include Cloudera CDH, Cloudera Manager, Cloudera RTQ (Impala), Oracle NoSQL Database.
Contents
Support
NoSQL database, also called Not Only SQL, is an approach to data management and database design that's useful for very large sets of distributed data.
In partnership with Cloudera, the Hadoop software and services provider, Oracle will provide first-line support, Tier 1, for the appliance and all software (including the Hadoop distribution and Cloudera Manager) through its issue-tracking support infrastructure (My Oracle Support). Cloudera will handle Tier 2 and 3 support as well as training and consulting engagements.
Headlines
Oracle Digs in On NoSQL, Hadoop, End-to-End Big Data
This week at Oracle OpenWorld, Oracle execs unveiled what the company called an “end-to-end solution” for big data, designed to make massive data volumes readily available to BI, analytics and data warehouses. The announcement also begins to spell out Oracle’s commitments to Hadoop and NoSQL.
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