Hadoop is a group of libraries and utilities, which are used to facilitate distributed computing. Basically, this open-source software framework allows solving problems related to the computation and processing of colossal amounts of data in a network with many computers. Today, possessing the skills to handle such a powerful tool is highly beneficial. So, if you were looking for a comprehensive and digestible Hadoop tutorial, then you are in the right place!

This video course is a great material to learn each and every aspect related to handling tasks related to big data. The guide consists of 58 lectures covering the following subjects:

• Classification and characteristics of big data
• Hadoop ecosystem and features
• About Hadoop Distributed File System and the principles of working with data
• MapReduce and YARN
• About MapReduce daemons: TaskTracker and JobTracker
• Details of MapReduce programming Framework
• About value/key pair and Java API
• Creating a working environment: how to download, install, and configure Linux and Hadoop
• About operating modes of Hadoop
• Creating a VMWare virtual machine
• How to install a multinode on a local machine?
• The basics of Amazon EC2
• How to maintain a Hadoop cluster?
• How to set up an environment for development?
• Principles of programming with MapReduce

Learn Hadoop tools and terminology in a quick and simple way and use this framework to help your company process large data sets in the same way as global companies such as SPAR, IQVIA, Mastech Digital, Womply, and EnerNOC. Enroll today!