With the increasing popularity and the addiction of companies towards Hadoop, also Hadoop being an unanimous solution for Big data platforms makes the Hadoop development team to focus on the current architectural deficiencies and make Hadoop free from such underlying architectural issues. In that path a new Hadoop MapReduce version has taken birth MapReduce 2.0…
Category Archive for: Hadoop Common
Joins:- ======= Joins is one of the interesting features available in MapReduce. Joins performed by Mapper are called as Map-side Joins. Joins performed by Reducer can be treated as Reduce-side joins. Frameworks like Pig, Hive, or Cascading has support for performing joins. Before diving into the implementation let us understand the problem throughly. If we…
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