This document outlines the topics covered in a Big Data and Hadoop training course, including an introduction to big data and Hadoop, the Hadoop ecosystem, MapReduce concepts, Pig, Hive, Oozie, HBase, use cases, and developing MapReduce applications. Contact information is provided for those interested in the training.

1. Big DATA Hadoop 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. Big DATA Hadoop Training
• CONTACT US:
• Call :
• india +91-9052666559
• USA:+1-6786933994, 6786933475
• Mail :info@magnifictraining.com
• Visit : www.magnifictraining.com

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

4. Big DATA Hadoop 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. Big DATA Hadoop Training
• Use Cases of Hadoop
• Histiry of Hadoop
• Hadoop eco systems
• Hdfs
• Map reduce
• Statistics

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

7. Big DATA Hadoop 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. Big DATA Hadoop Training
• Developing the Map Reduce
• Application
• Data Types
• File Formats