A data warehouse infrastructure tool called Hive is used to process structured data in Hadoop. Based on Hadoop, it summarizes Big Data and makes it easy to query and analyze it.
This tutorial provides an introduction to using Apache Hive HiveQL with Hadoop Distributed File System. This tutorial can be your first step towards becoming a successful Hadoop Developer with Hive.
Using SQL, users are able to read, write, and manage petabytes of data. Apache Hadoop, a framework used to store and process large datasets, is the base for Hive. Hive is therefore tightly integrated with Hadoop, and is designed to handle petabytes of data quickly.