What is Hive architecture

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Accepted Answer

Hive architecture is a data warehousing system built on top of Hadoop for querying and analyzing large datasets.

Hive uses a SQL-like language called HiveQL for querying data stored in Hadoop Distributed File System (HDFS).
It consists of three main components: Metastore, Driver, and Execution Engine.
Metastore stores metadata about tables and partitions in a relational database.
Driver accepts HiveQL queries, compiles them into MapReduce jobs, and submits them to the Execution Engine.
Execution Engine executes the MapReduce jobs and returns the results to the Driver.
Hive supports various file formats such as CSV, JSON, ORC, and Parquet.
It also supports partitioning and bucketing for efficient querying of large datasets.
Hive can be used for data analysis, data mining, and business intelligence applications.

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