The open-source framework is quite popular these days, which allow to store and process huge data volume even in any distributed environment. The data can be stored across various computer clusters and for this there is a simple programming model used in Hadoop. Many big companies are making Hadoop an integral part for their organizations to manage huge volume of data. Therefore the requirement of Hadoop developers has become quite higher these days.

A single server can be scaled up from single server to a number of machines, to offer local storage and computation. Since it is a open source technology, so anyone can easily learn Hadoop from anywhere and Janbask, which is a premier online training service provider is offering discounts as well for the Hadoop course. Here through Janbask, one can learn the basics and advance concepts of Big data Hadoop. The online training platform of Janbask can provide the students learning from anywhere. Moreover, the trainers are industry experts and can help the aspirants in many ways to make them proficient in Hadoop development. Following topics are covered in the course, so that it can be provide all theoretical and practical knowledge to the students:

In Hadoop in a distributed environment each single server work is scaled up to thousands of machines, which can offer local storage and computation. Following are the basic Hadoop concepts:

1) Hadoop YARN: YARN framework of Hadoop is used to manage cluster resources and for job scheduling.
2) HDFS: The Hadoop Distributed File System (HDFS) is a Hadoop file system, used to increase the throughput and to provide more data access to the applications.
3) Map Reduce Technology: This YARN based system is used to implement parallel processing for large data sets
4) Hadoop Common: Hadoop use these Java libraries, which are used by various Hadoop modules. The libraries are used by the Hadoop scripts and Java files.

Above listed and many other concepts are covered by the Janbask, which can provide you complete in-depth and required knowledge of Big Data Hadoop.