Large-scale Information Management using Hadoop Platform

The information produced today is enormous and is increasing more quickly than computer speeds can keep up. As a result, it is no longer advantageous and often takes a long time to maintain or process information using traditional methods, or as we may say, a single machine. Under the terms of the Apache License, In the cloud hardware of the distributed file system, this research also covers optimizing the number of computing nodes and the message passing pathways. According to HIVE.apache.org, the Apache HIVE data storage software makes it easier to read, write, and manage huge datasets that are stored in distributed storage using SQL. The installation and launch of Hadoop and HIVE, setting up the rules in a Hadoop cluster, and a few use cases for performance testing are all covered at the end of the chapter.