This document outlines the topics covered in a big data analytics training course, including an introduction to big data and Hadoop, Hadoop concepts like HDFS, MapReduce, Pig, Hive, Oozie, and HBase. Real-life use cases and how to develop MapReduce applications are also covered. Contact information is provided for those interested in the training.

1. big data analytics 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 analytics training
• CONTACT US:
• Call :
• india +91-9052666559
• USA:+1-6786933994, 6786933475
• Mail :info@magnifictraining.com
• Visit : www.magnifictraining.com

3. big data analytics training
• ADpevpelilcoaptiinogn st he map-reduce
• Pig concepts
• Hive concepts
• Oozie workflow concepts
• HBASE Concepts
• Real Life Use Cases

4. big data analytics 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 analytics training
• Use Cases of Hadoop
• Histiry of Hadoop
• Hadoop eco systems
• Hdfs
• Map reduce
• Statistics

6. big data analytics training
• Understanding the Cluster
• Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness

7. big data analytics 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 analytics training
• Developing the Map Reduce
• Application
• Data Types
• File Formats