In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase.

Below topics are explained in this Big Data full course video: 1.Evolution of Big Data 2.Why Big Data? 3.What is Big Data? 4.5 V's of Big Data 5.Challenges of Big Data 6.Hadoop as a Solution 7.Cloudera Hadoop Installation 8.Hadoop Ecosystem 9.Hadoop Distributed File System 10.MapReduce Analogy 11.What is MApReduce? 12.Parallel Processing-MapReduce 13.MapReduce Workflow 14.MapReduce Architecture 15.Hadoop 1.0(MR 1) 16.Limitations of Hadoop 1.0(MR 1) 17.Need for YARN 18.What is YARN? 19.YARN Components 20.YARN Components-Node MAnager 21.What is Sqoop? 22.Sqoop Features 23.Sqoop Architecture 24.What is Apache Spark? 25.History of Apache Spark 26.Apache Spark Installation on Windows 27.Apache Spark Installation on ubuntu 28.YARN