Description
Large sparse tables can be stored and served on top of the Hadoop ecosystem with HBase.
It is useful for data engineering workloads that need distributed storage, high write volume, and integration with Hadoop-style infrastructure. Operating HBase requires planning around clusters, ZooKeeper, storage, backups, security, and schema design.