Apache Hive 34 Success Secrets - 34 Most Asked Questions On Apache Hive - What You Need To Know

Nonfiction, Reference & Language, Reference, Business & Finance

• Author: Jacqueline Douglas
• ISBN: 9781488537219
• Publisher: Emereo Publishing
• Publication: February 28, 2014
• Imprint: Emereo Publishing
• Language: English

Apache Hive' is a information storage basic organization assembled on top of Hadoop for delivering information recapitulation, request, and examination. While originally elaborated by Facebook, Apache Hive is at the moment applied and elaborated by different businesses such like Netflix. Amazon upholds a code branch of Apache Hive that is contained within Amazon Elastic MapReduce on Amazon Web Services.

There has never been a Apache Hive Guide like this.

It contains 34 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Apache Hive.

A quick look inside of some of the subjects covered: Jakarta Project - Subprojects, Bitmap index - Example, Apache Hadoop, Hadoop - Commercially supported Hadoop-related products, Apache Hive, Data-intensive computing - Hadoop, Greenplum - Technology, Hadoop Distributed Filesystem, Apache Hive - Features, Sqoop, Apache Hive Features, Data-intensive computing - HPCC, Apache Attic - Current Sub-Projects, Apache Cassandra Main features, Hadoop - Amazon Elastic MapReduce, MapReduce - Lack of novelty, Cloudera Impala - Description, HDFS, HDFS - Commercial support, Hadoop - Other applications, Simba Technologies - History, Data Intensive Computing - Hadoop, Apache Cassandra - Main features, List of Apache Software Foundation projects, Apache Hadoop Amazon Elastic MapReduce, Apache Hadoop Other applications, Facebook, Inc. - Open source contributions, Apache HiveMind, RCFile - Impacts, and much more...