Prior to learn the concepts of Hadoop 2.x Architecture, I strongly recommend you to refer the my post on Hadoop Core Components, internals of Hadoop 1.x Architecture and its limitations. It will give you the idea about Hadoop2 Architecture requirement. And we have already learnt about the basic Hadoop components like Name Node, Secondary Name Node, Data Node, Job Tracker and Task Tracker. Continue reading “Understanding Hadoop 2.x Architecture and it’s Daemons”
Before this post we have discussed about what is Hadoop and what kind of issues are solved by Hadoop. Now Let’s deep dive in to various components of Hadoop. Hadoop as a whole distribution provides only two core components and HDFS (which is Hadoop Distributed File System) and MapReduce (which is a distributed batch processing framework). And a complete bunch of machines which are running HDFS and MapReduce are known as Hadoop Cluster.
As you add more nodes in Hadoop Cluster the performance of your cluster will increase which means that Hadoop is Horizontally Scalable. Continue reading “Simple explanation of Hadoop Core Components : HDFS and MapReduce”