Further which are submitted to Hadoop framework for execution. In addition, a compiler translates HiveQL statements into MapReduce jobs, internally. Basically, it offers a way to query the data using a SQL-like query language called HiveQL(Hive Query Language). In other words, it is a data warehouse infrastructure which facilitates querying and managing large datasets which reside in the distributed storage system.
Moreover, by using Hive we can process structured and semi-structured data in Hadoop. Especially, we use it for querying and analyzing large datasets stored in Hadoop files. What is Apache Hive?Īpache Hive is an open source data warehouse system built on top of Hadoop Haused. Also, we will cover the Hive architecture or components to understand well.Īfterwards, we will also cover its limitations, how does Hive work, Hive vs SparkSQL, and Pig vs Hive vs Hadoop MapReduce. Further, we will see why the Hive is used – reasons to learn Hive. So, in this Apache Hive Tutorial, we will learn Hive history.
However, there are many more concepts of Hive, that all we will discuss in this Apache Hive Tutorial, you can learn about what is Apache Hive. Boost your career with Free Big Data Courses!!īasically, for querying and analyzing large datasets stored in Hadoop files we use Apache Hive.