What is the connection between Hadoop and Hive?

Hadoop is an open-source distributed computing framework designed to store and process massive amounts of data in a cluster environment. It offers reliability, scalability, and fault tolerance, and has the ability to handle various types of data.

Hive is a data warehouse infrastructure built on Hadoop that includes a query language similar to SQL called HiveQL. Hive allows structured data to be mapped into the distributed file system of Hadoop (HDFS). Queries in HiveQL are executed by converting them into Hadoop MapReduce tasks.

Therefore, Hive is a data warehouse and query tool built on top of Hadoop, utilizing its distributed computing capabilities to process and analyze large-scale data. Simply put, Hive is a component within the Hadoop ecosystem designed for querying and analyzing data.