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TCS iON – Bigdata

About this Course

In this hadoop training course, participants will learn to:

• Work with the problems of Big Data in real life situation.
• Develop MapReduce applications using Java.
• Handle No-SQL databases.
• Work with the process of Data Transfer and Data Handling using Apache Sqoop and Flume.
• Handling Workflow Management using Oozie.
• Big Data Platforms - Hortonworks and GreenPlum.
• Cloudera's Hadoop Distribution and Management Tools.

The participants learn big data programming and will be ready to work with Big Data problems using Apache Hadoop and its frameworks, along with other tools and frameworks of Hadoop and its eco-system.

The hadoop training will comprise of a series of lectures aided by demonstrations and followed by hands-on session on the prescribed equipment and/or software that the course is designed to cover.

Some amount of preparation by the participant is expected, for each session, using the course material available in the form of printed books.Post each session on learning big data programming, the participant is expected to revise the concepts and work on exercises provided.

There is a project that will be assigned mid-way through the hadoop training. The project will carry a significant portion of the marks that will decide the grade obtained by a student on completing the course.

The other form of assessment will be an online exam comprising of Multiple Choice Questions at the end of the module.

By purchasing or subscribing to this hadoop training program, you agree to abide by the Usage Policy, Privacy Policy, Security Policies and any Terms and Conditions mentioned on this portal.

Please note that TCS iON and the Training Partners of TCS iON are different legal entities. The Training Partner is solely responsible for the quality of infrastructure, trainers and training delivery and TCS does not take responsibility of the same.

Please note, the hadoop training course offered by TCS iON is for learning facilitation only with no placement assistance associated with it.

Who would benefit?

Aspirants with sound working knowledge in java and databases and wants to develop their skills in Big Data Development would benefit from this course.

Course Syllabus

All learners who register on or after May 1, 2017 will get access to the digitized courseware online on Digital Hub and no hard copy of courseware will be issued.

There are 8 modules

No SQL Databases

Brief Description: This module covers the concepts of NoSQL databases and their implementation.

Recommended Learning Duration: 20 Hours

Introduction to Big Data and Working with Hadoop

Brief Description: This module covers the concepts of Big Data Hadoop and its problems.

Recommended Learning Duration : 30 Hours

Application Development using MapReduce and Java

Brief Description: This module covers the programming concept of mapreduce using Java.

Recommended Learning Duration: 20 Hours

Prerequisites

Should have acceptable knowledge in JAVA,file systems and databases.