The Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. As numerous organizations move to big data, the demand for Hadoop professionals has been increasing massively. Thus, Hadoop is one of the most valuable skills to learn in today’s world.

In this course, you will start with learning a fundamental of the Hadoop Ecosystem and 3 main building blocks. Then, you will look at the challenges with Hadoop and how HDInsight solves these challenges. You will also learn cluster types, HDInsight architecture, and other important aspects of Azure HDInsight. After that, you will fetch data from the data lake, process it through Hive, and later will store data in SQL Server. Finally, you will see how HDInsight makes Hadoop easy, and go through a simple demo where you will fetch data from the data lake, process it through Hive, and later will store data in SQL Server.

By the end of this course, you will have a solid understanding of the challenges that come with big data and how to solve them using Hadoop and HDInsight. You will be able to extract data from the data lake and process it through Hive and later store data in a SQL server. The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Learn-Hadoop-and-Azure-HDInsight-basics-this-evening-in-2-hr