Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousands of machines.

This course introduces you to the powerful system synonymous with Big Data, demonstrating how to create an instance and leverage Hadoop ecosystem's many components to store, process, manage, and query massive data sets with confidence.

The video course opens with an introduction to the world of Hadoop, where we discuss Nodes, Data Sets, and operations such as map and reduce. The second section deals HDFS, Hadoop's file-system used to store data. Further on, you’ll discover the differences between jobs and tasks, and get to know about the Hadoop UI. After this, we turn our attention to storing data in HDFS and Data Transformations. Lastly, we will learn how to implement an algorithm in Hadoop map-reduce way and analyze the overall performance.

Style and Approach

This book gives you an in-depth understanding of the basics of Hadoop balanced with tutorials that put the theory into practice. The focus of this course is giving you both the theoretical understanding and the practical hands-on examples of Hadoop 2.7.