Hands-On Big Data Processing with Hadoop 3

Perform real-time data analytics, stream and batch processing on your application using Hadoop

Hadoop which is one of the best open-source software frameworks for distributed computing. It provides you with means to ramp up your career and skills. You will start out by learning the basics of Hadoop, including its file system HDFS, and its cluster management resource YARN and its many libraries and programming tools. This course will get you started with the Hadoop major components which Industry demands. You will be able to see how the structure, unstructured and semi structured data can be processed with Hadoop.

This course will majorly focus on the problem faced in Big Data and the solution offered by respective Hadoop component. You will learn to use different components and tools such as Mapreduce to process raw data and will learn how tools such as Hive and Pig aids in this process. You will then move on to Data Analysis techniques with Hadoop using tools such as Hive and will learn to apply them in a real world Big Data Application. This course will teach you to perform real-time data analytics, stream and batch processing on your application. Finally, this course will also teach you how to extend your analytics solutions to the cloud.

Style and Approach

This hands-on course covers all the important aspects of Big Data Processing with Hadoop 3. With a great balance between theoretical and practical aspects of the course, you will get a complete understanding of the subject

What You Will Learn

The introduction to practical of Hadoop ecosystem and how to understand each component
Understanding of the Data storage and Data processing in Hadoop by UNix commands
Manage the HDFS storage and move the data
Import the data and deal with Structured data and query it through Hive
import the data from non RDBMs source and store in HDFS
Deal with semi structured data and Unstructured data through PIG