Apache Hive vs Apache Impala Query Performance Comparison - Cloudera Blog
The 100% open source and community driven innovation of Apache Hive 2.0 and LLAP (Long Last and Process) truly brings agile analytics to the next level. It enables customers to perform sub-second interactive queries without the need for additional SQL-based analytical tools, enabling rapid analytical iterations and providing significant time-to-value. TRY HIVE LLAP TODAY Read about how Hive with L
Cloudera Blog
Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon […] Read blog p
Integration of Hive and HBase
Apache Hive provides SQL-like access to your stored data in Apache Hadoop. Apache HBase stores tabular data in Hadoop and supports update operations. The combination of these two capabilities is often desired, however, the current integration show limitations such as performance issues. In this talk, Enis Soztutar will present an overview of Hive and HBase and discuss new updates/improvements from
SQL to Hive Cheat Sheet
International: 1.408.916.4121 www.hortonworks.com Twitter: twitter.com/hortonworks Facebook:facebook.com/hortonworks We Do Hadoop Contents Cheat Sheet Hive for SQL Users 1 Additional Resources 2 Query, Metadata 3 Current SQL Compatibility, Command Line, Hive Shell If you’re already a SQL user then working with Hadoop may be a little easier than you
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