Programming in Bigdata - Hadoop
Details
What You Will Learn
Concepts of NoSQL Databases, Introduction to Big Data and Working with Hadoop, Application Development using MapReduce and Java, Advanced Algorithms to implement MapReduce, Data Transfer and Data Handling using Apache Sqoop and Flume, Workflow Management using
Oozie, Big Data Platforms - Hortonworks and GreenPlum, Cloudera's Hadoop Distribution and Management Tools, Soft skills
Duration: 24 weeks
Commitment: 12 hours per week
6 Hours Self-studies,
6 Hours Classroom time
Prerequisites
Should have acceptable knowledge in JAVA,file systems and databases.
ABOUT THE COURSE
In this course, participants will learn to:
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Work with the problems of Big Data in real life situation.
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Develop MapReduce applications using Java.
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Handle No-SQL databases.
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Work with the process of Data Transfer and Data Handling using Apache Sqoop and Flume.
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Handling Workflow Management using Oozie.
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Big Data Platforms - Hortonworks and GreenPlum.
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Cloudera's Hadoop Distribution and Management Tools.
Outcomes: The participants 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 course 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, 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 course. 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 program, you agree to abide by the Usage Policy, Privacy Policy, Security Policies and any Terms and Conditions mentioned on this portal.
Please note, this course offered by TCS iON is for learning facilitation only with no placement assistance associated with it.
This Course Is Best For
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Aspirants with sound working knowledge in java and databases and wants to develop their skills in Big Data Development would benefit from this course.
Outline
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
Data Transfer and Data Handling using Apache Sqoop and Flume
Brief Description : This module covers the concepts of Data transfer using Sqoop and handling streaming data by using Flume.
Recommended Learning Duration: 20 Hours
Workflow Management using Oozie
Brief Description : This module covers the concepts of handling workflows using OOzie.
Recommended Learning Duration: 10 Hours
Big Data Platforms - Hortonworks and GreenPlum
Brief Description : This module deals with the Big data frameworks.
Recommended Learning Duration: 10 Hours
Cloudera's Hadoop Distribution and Management Tools
Brief Description : This module deals with Cloudera framework of Hadoop.
Recommended Learning Duration: 10 Hours
Soft Skills
Brief Description : This module is to groom the candidates and make them market ready.
Recommended Learning Duration: 20 Hours
Final Exam - Online, Proctored
This is the final evaluation module of learning.
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