With Apache Hadoop BECOMING the open source de-facto standard for processing and storing Big Data, many other languages like Pig and Hive have followed - simplifying the process of writing big data applications based on Hadoop.

ALTHOUGH Pig, Hive and many OTHERS have simplified the process of writing Hadoop jobs, many times a single Hadoop Job is not sufficient to GET the desired output. Many Hadoop Jobs have to be chained, data has to be SHARED in between the jobs, which makes the whole process very complicated.

With Apache Hadoop becoming the open source de-facto standard for processing and storing Big Data, many other languages like Pig and Hive have followed - simplifying the process of writing big data applications based on Hadoop.

Although Pig, Hive and many others have simplified the process of writing Hadoop jobs, many times a single Hadoop Job is not sufficient to get the desired output. Many Hadoop Jobs have to be chained, data has to be shared in between the jobs, which makes the whole process very complicated.