Hive
Hive is a data warehouse infrastructure built on top of Hadoop that provides data summarization, query, and analysis capabilities. It enables SQL-like querying of large datasets stored in Hadoop Distributed File System (HDFS) or other compatible storage systems using a language called HiveQL. Hive is designed to handle petabytes of data and is commonly used for batch processing and data warehousing tasks in big data environments.
Developers should learn Hive when working with massive datasets in Hadoop ecosystems, as it simplifies querying and analysis through familiar SQL syntax, reducing the need for complex MapReduce programming. It is particularly useful for data warehousing, ETL (Extract, Transform, Load) processes, and business intelligence applications where structured data needs to be processed at scale. Hive is ideal for organizations leveraging Hadoop for big data storage and requiring ad-hoc querying capabilities.