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Cloudera, Inc. was formed on June 27, 2008 in Burlingame, California by Christophe Bisciglia, Amr Awadallah, Jeff Hammerbacher, and chief executive Mike Olson. [3] Prior to Cloudera, Bisciglia, Awadallah, and Hammerbacher were engineers at Google, Yahoo!, and Facebook respectively, [3] and Olson was a database executive at Oracle after his previous company Sleepycat was acquired by Oracle in ...
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
Its goal is to make self service data querying more widespread in organizations. The Hue team provides releases on its website. [ 3 ] Hue is also present in the Cloudera Data Platform and the Hadoop services of the cloud providers Amazon AWS , Google Cloud Platform , and Microsoft Azure .
The product includes an open-source distribution of Apache Hadoop.Support from Cloudera was announced in January 2012. [4]The Oracle NoSQL Database, Oracle Data Integrator with an adapter for Hadoop Oracle Loader for Hadoop, an open source distribution of R, Oracle Linux, and Oracle Java Hotspot Virtual Machine were also mentioned in the announcement.
Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]
Splunk and Cloudera Ink Strategic Alliance to Bring Together Big Data Expertise Market Leaders in Operational Intelligence and Hadoop Join Forces to Provide Answers to Big Data Challenges SAN ...
Cloudera, an American-based software company that provides Apache Hadoop-based software, support and services, and training to business customers; Compuverde, an IT company with a focus on big data storage; CVidya, a provider of big data analytics products for communications and digital service providers
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational requirements are deemed compute-intensive ...