Hadoop Online Course offers comprehensive course on an array of Hadoop technologies for administrators, data analysts and developers. The Hadoop Online Course is designed in such a format that meets your availability, convenience and flexibility needs, these online courses will lead you in the direction to become a certified Hadoop professional.

The online Hadoop training course by Prwatech imparts knowledge about the fundamental principles of Hadoop and gets the participants acquainted with the benefits of Big Data. The Hadoop online Course provides in-depth knowledge about Hadoop MapReduce, Hadoop Distributed File System (HDFS), Hadoop Cluster and implementation of a Hadoop Project.

At the completion of this course, the participants become proficient in performing data analytics with Pig & Hive, writing complex MapReduce Programs and in processing Big Data sets efficiently.

Who should enroll for Hadoop Online Course:

• Data Integration Architects
• Data Architects
• Data Analysts
• Data Scientists
• Decision Makers
• Hadoop Developers and Administrators

What is this course about?

The Hadoop online course by PrwaTech is designed to make sure that you are fully equipped to take up any assignments in Hadoop. This training not only prepares you with necessary Hadoop skills, but also gives you the required work experience in Big Data Hadoop by the use of real-life industry project implementation.

Key Features:

• 36 hours of Training by experts
• 24 hours of first-rate E-Learning
• More than 60 hours of industry projects
• Hands-on execution with CloudLab
• Availability of on demand support
• Experience certificate in Hadoop 2.7

Hadoop online course objectives:

• Mastering the concept of Hadoop framework and deployment in cluster environment.
• Become skilled at writing complex programs in MapReduce.
• Execute Data Analytics using Pig & Hive.
• Acquire comprehensive understanding of Hadoop Ecosystem like Apache Oozie workflow scheduler, Flume etc.
• Mastering concepts of Hadoop: Zookeeper, Hbase and Sqoop.
• Hands-on experience in configuring different set-ups of Hadoop cluster.
• Hands-on experience in industry based projects using Hadoop.