Integrating Hive and HBase (keep updating…)

“Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems.”

As a data warehouse, pulling out data from different database is a basic requirement as part of Extract, transform and load (ETL).

“HBase is the Hadoop database.”

So it is very nature to have this idea: Hive can operate HBase, as storage target or data source.

Hive storage is based on Hadoop‘s underlying append-only filesystem (HDFS). It is very good to store static data. At the same time, HBase is good for dynamic data with support of Create, Read, Update and Delete (CRUD).

Use Case



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