Enabling easy access to data and empowering users to perform quick/fast analysis and take informed decision is the key objective for all modern enterprises.
Interactive analytics using Structured Query Language (SQL) (https://en.wikipedia.org/wiki/SQL) is one such option that has always helped to achieve this critical objective of enterprises. It's needless to mention that SQL has always been a preferred language for analysts because of its several advantages (http://www.moreprocess.com/database/sql/pros-advantages-of-sql-structured-query-language), but with the emergence of Big Data it was difficult to continue using SQL over RDBMS for interactive analytics. There was an urgent need for a framework that could provide an SQL-like interface over the various Big Data frameworks such as NoSQL databases, Hadoop, and others. This need was soon realized and Apache introduced Apache Hive (https://hive.apache.org/), which provided an SQL-like interface...