What makes Hadoop architecture popular among enterprises?

An open source software framework that is known to distribute large data clusters in various small parts, Hadoop is the most used way to improve data management within an organization. It is known to provide guaranteed reliability, scalability and offers correct and distributed computing. It is software framework that is designed to make all the tasks easy and make them easy while they run on large data clusters. It is seen that in order to manage large data sets with so much conviction, this system needs various quality ingredients that can easily help produce the intended results.

The software has a structured architecture that comprises various elements and at the bottom the Hadoop Distributed File System (HDFS) is present that is known to store files across numerous storage nodes that fall under the Hadoop Cluster. On the top of HDFS, there is Hadoop map and reduce, which contains two significant elements including Job Trackers and Task Trackers.

Every element present in Hadoop architecture has a special purpose such as Job Tracker is included in the system so that the user can easily perform the task assignment and Task Tracker is present to perform map and reduce tasks, an extremely critical and significant task in the whole process of data management.  Apart from these, name nodes are other major elements that come into the picture only when the Hadoop file system is used. It keeps different file system metadata and is kept away from the server Job Tracker.

Apart from this, there is another Name Node, which is known as secondary Name Node. This has the main purpose and is used to check-points in the overall file system metadata periodically. Along with these, other elements that play a significant role in the Hadoop architecture is known as Data Nodes. The major activity that it performs is to store HDFS files and to handle HDFS read/write requests. Its location preferably exists with various Task Trackers and the placement is done because it will make the data locality optimal.

If you feel that Hadoop architecture can help maintain large data clusters within your organizations, the best way is to search for various links available online. Because, Hadoop is an open source platform, it won’t be difficult get it. However, considering the complications it has, it is important that you opt for Hadoop MapReduce training in order to get maximum results. Complete knowledge regarding Hadoop can help you make the most of this open source software framework technology.