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IBM - Certified Apache Hadoop Developer

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4 modules

Lifetime access

Overview

Welcome!

We are glad you are taking this Certified Apache Hadoop Developer course.

Now in its fourth version, we are keeping the hands-on approach it made it a success! We have continued improving the course through the years, and now students will be able to run the course exercises on the Cloud in addition to using the free VMWare image.

Big Data University offers several other detailed courses that cover other components of the Hadoop ecosystem such as MapReduce, Hive, HBase, Pig, and more; but we recommend you start here and then dig deeper into the specific Hadoop technology you wish to learn more about.

Enjoy!

Modules

General Information

3 attachments • 3 mins

Learning Objectives

Syllabus

Copyrights and Trademarks

Learning Objectives

5 attachments • 14.19 mins

Learning Objectives

What is Hadoop? - Part 1 (3:53)

What is Hadoop? - Part 2 (4:17)

Obtain an IBM Cloud Feature Code

Lab 1 - Setup (Cloud)

Module 2: Hadoop Architecture & HDFS

5 attachments • 17.15 mins

Learning Objectives

Hadoop Architecture - Part 1 (7:03)

Hadoop Architecture - Part 2 (4:49)

HDFS Command Line (3:15)

Lab 2 - Hadoop Architecture (Cloud)

Module 3: Hadoop Administration

7 attachments • 8.88 mins

Learning Objectives

Hadoop Administration (5:52)

Lab 3 - Hadoop Administration

Learning Objectives

MapReduce (4:31)

Pig and Hive (3:56)

Flume, Sqoop, and Oozie (3:51)

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Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

About the creator

About the creator

Learn with IBM

The Hadoop architecture is a package of the file system, MapReduce engine and the HDFS (Hadoop Distributed File System). The MapReduce engine can be MapReduce/MR1 or YARN/MR2. A Hadoop cluster consists of a single master and multiple slave nodes. The master node includes Job Tracker, Task Tracker, NameNode, and DataNode whereas the slave node includes DataNode and TaskTracker.

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