Hive table is one of the big data tables which relies on structural data. By default, it stores the data in a Hive warehouse. To store it at a specific location, the developer can set the location using a location tag during the table creation. Hive follows the same SQL concepts like row, columns, and schema.
Developers working on big data applications have a prevalent problem when reading Hadoop file systems data or Hive table data. The data is written in Hadoop clusters using spark streaming, Nifi streaming jobs, or any streaming or ingestion application. A large number of small data files are written in the Hadoop Cluster by the ingestion job. These files are also called part files.
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