Hive data warehouse software enables reading, writing, and managing large datasets in distributed storage. Using the Hive query language (HiveQL), which is very similar to SQL, queries are converted into a series of jobs that execute on a Hadoop cluster through MapReduce or Apache Spark.

Users can run batch processing workloads with Hive while also analyzing the same data for interactive SQL or machine-learning workloads using tools like Apache Impala or Apache Spark—all within a single platform.

As part of CDH, Hive also benefits from:

• Unified resource management provided by YARN
• Simplified deployment and administration provided by Cloudera Manager
• Shared security and governance to meet compliance requirements provided by Apache Sentry and Cloudera Navigator

Continue reading:

• Apache Hive Changes in CDH 6.0
• Overview of Apache Hive Installation and Upgrade in CDH
• Configuring Apache Hive in CDH
• Using & Managing Apache Hive in CDH
• Tuning Apache Hive in CDH
• Overview of Apache Hive Data Replication in CDH
• Overview of Apache Hive Security in CDH
• Troubleshooting Apache Hive in CDH