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Copyright © 2012-2014, Simplilearn, All rights reserved. Lesson 0 Course Introduction Big Data and Hadoop Developer

BigDataHadoop_PPT_Lesson00.pdf

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Page 1: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved.

Lesson 0

Course Introduction

Big Data and Hadoop Developer

Page 2: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 2

Course Objectives

By the end of this course, you will be able to:

● Describe the fundamental concepts of Hadoop

● Apply programming skills in MapReduce

● Utilize Big Data analytic skills using Pig and Hive

● Explain the HBase data model and its components

● Describe how ZooKeeper and Sqoop address the challenges associated

with distributed computing

Page 3: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 3

Course Overview

This training course provides:

● A detailed introduction to the basics of Apache Hadoop.

● Knowledge about Hadoop ecosystem, Hadoop Distributed File System, Hadoop Cluster, MapReduce, Pig, Hive,

HBase, ZooKeeper, Sqoop, etc.

● An overview of the installation and configuration steps for various Hadoop components.

● Programming skills relevant to the various Hadoop components.

Page 4: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 4

Course Overview (contd.)

Target audience:

● Aimed at professionals aspiring for a career in Big Data Analytics using Apache Hadoop.

● Analytics professionals, IT professionals, ETL developers, project managers, and testing novices and

experts are the key beneficiaries.

● Other aspirants and students looking forward to gain a thorough understanding of the implementation

of Hadoop framework.

Course prerequisites:

● Knowledge about any programming language.

● Fundamental programming skills.

● Working knowledge of Java (not mandatory).

Page 5: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 5

Value to Professionals

Hadoop professionals will be:

● Equipped with Hadoop framework skills in the fast-growing Big Data Analytics industry.

● Enabled to process huge amount of data with high level of efficiency as the industry switches over from Excel-

based analytics to real-time analytics.

● Distinguished from other Big Data professionals due to their thorough knowledge and skill set.

● In demand across all leading organizations worldwide over the next decade.

● Derive the benefits from the nascent and emerging Big Data industry that is just about two to three years old.

Page 6: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 6

Lessons Covered

Lesson No. Lesson Name

Lesson 1 Introduction to Big Data and Hadoop

Lesson 2 Getting Started With Hadoop

Lesson 3 Hadoop Architecture

Lesson 4 Hadoop Deployment

Lesson 5 MapReduce

Lesson 6 Advanced MapReduce

Lesson 7 Pig

Lesson 8 Hive

Lesson 9 HBase

Lesson 10 Cloudera

Lesson 11 ZooKeeper and Sqoop

Lesson 12 Ecosystem and its Components

Lesson 13 Hadoop Administration and Troubleshooting

Page 7: BigDataHadoop_PPT_Lesson00.pdf

Copyright © 2012-2014, Simplilearn, All rights reserved. 7

Thank You