This document provides an overview of the objectives covered in a Hadoop certification training course. The course will introduce students to big data concepts and the Hadoop ecosystem. Students will learn about Hadoop features like MapReduce, Pig, Hive, Oozie, and HBASE. They will also learn real-life use cases and how to develop MapReduce applications.

1. Hadoop Certification Training
Course Objective Summary
*During this course, you will learn
*Introduction to Big Data and
Hadoop.
*Hadoop ecosystem – Concepts.
* Hadoop Map-features reduce
concepts.

2. Hadoop Certification Training
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3. Hadoop Certification Training
• ADpevpelilcoaptiinogn st he map-reduce
• Pig concepts
• Hive concepts
• Oozie workflow concepts
• HBASE Concepts
• Real Life Use Cases

4. Hadoop Certification Training
• Introduction to Big Data and
• Hadoop
• What is Big Data?
• bWigh adta atare?
• the challenges for processing
• What technologies support big data?
• What is Hadoop?
• Why Hadoop?

5. Hadoop Certification Training
• Use Cases of Hadoop
• Histiry of Hadoop
• Hadoop eco systems
• Hdfs
• Map reduce
• Statistics

6. Hadoop Certification Training
• Understanding the Cluster
• Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness

7. Hadoop Certification Training
• Let's talk Map Reduce
• Before Map reduce
• Map Reduce Overview
• Word Count Problem
• Word Count Flow and Solution
• Map Reduce Flow
• pArlgoobrleitmhms s

8. Hadoop Certification Training
• Developing the Map Reduce
• Application
• Data Types
• File Formats