What is hive used for?

At the core of Hive's operation lies HiveQL, a query language that shares a familiar syntax with Structured Query Language (SQL), making it accessible to a wide range of users familiar with traditional database management systems.

Hive stands as a pivotal data warehouse solution, designed specifically to navigate and extract insights from vast datasets residing in the Hadoop Distributed File System (HDFS). Its primary function revolves around facilitating complex queries and analyses on these data repositories.

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When initiating a data exploration journey with Hive, the process commences with the user submitting Hive queries. These queries, crafted in HiveQL, serve as the gateway to unlocking the hidden gems within the vast expanse of data stored in HDFS.

The submitted Hive queries are then processed by Hive, which translates them into MapReduce jobs or, in modern versions, Apache Tez or Apache Spark jobs for efficient execution. This translation step ensures that the computational demands of the queries are met while optimizing resource utilization.