Course Description

Hadoop Tutorial for Beginners is a comprehensive course designed to provide an in-depth understanding of Hadoop technology and its ecosystem. Hadoop is a powerful open-source framework that enables the processing of large data sets in a distributed computing environment. This course is perfect for beginners who want to learn Hadoop from scratch and build a strong foundation in big data processing. The course starts with an introduction to Hadoop and its key components. You will learn about the Hadoop Distributed File System (HDFS), MapReduce, and YARN. You will also gain an understanding of Hadoop's architecture and how it is designed to handle big data processing. The course is designed to provide a hands-on experience, and you will be working with Hadoop on your own machine throughout the course. In the course, you will learn how to set up a Hadoop cluster, configure Hadoop, and work with Hadoop's command-line interface (CLI). You will also learn how to write MapReduce programs using Java, which is the primary language used for Hadoop development. The course covers the basics of MapReduce programming, including input and output formats, mapper and reducer classes, and how to use counters to track the progress of your MapReduce jobs. You will also learn how to work with Hadoop's ecosystem, including Hive, Pig, and HBase. Hive is a data warehouse system that allows you to query data stored in Hadoop using SQL-like syntax. Pig is a high-level platform for creating MapReduce programs, and HBase is a NoSQL database that is built on top of Hadoop. The course covers the basics of using these tools and provides hands-on experience working with them. The course also covers important topics such as Hadoop security, backup and recovery, and performance tuning. You will learn how to secure your Hadoop cluster, take backups, and recover data in case of failures. You will also learn how to optimize your Hadoop cluster for performance. In summary, the Hadoop Tutorial for Beginners course is an excellent resource for anyone who wants to learn Hadoop and build a strong foundation in big data processing. The course provides a comprehensive introduction to Hadoop and its ecosystem, hands-on experience, and practical knowledge that you can use in your own projects. Whether you're a developer, data scientist, or IT professional, this course is a must-have for anyone who wants to stay ahead in the rapidly growing field of big data processing. Author: Great Learning