Introduction to Hive

From the beginning of the Internet's conventional breakout, many search engine provider companies and e-commerce companies/ organizations struggled with regular growth in data day by day. Even some social networking sites like Facebook, Twitter, Instagram, etc. also undergo the same problem. Today, numerous associations understand that the information they gather is a profitable asset for understanding their customers, the impact of their activities in the market, their performance and the effectiveness of their infrastructure etc. So this is where Hadoop emerged as a preserver which provide us with an efficient way to handle huge datasets using HDFS(Hadoop Distributed File System) and imposes MapReduce for separating calculation errands into units that can be dispersed around a cluster of hardware (commodity hardware) providing scalability (horizontal).


This is a companion discussion topic for the original entry at http://iq.opengenus.org/introduction-to-hive/