This big data analytics training course covers concepts of Hadoop, its ecosystem including HDFS, MapReduce, Pig, Hive, Oozie, HBase. It teaches how to process and analyze large datasets with Hadoop using real-life use cases. Students will learn about big data, Hadoop architecture, writing and reading from HDFS, MapReduce concepts through a word count problem, and developing MapReduce applications.

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 and

2. big data analytics training
• CONTACT US:
• Call :+91-9052666559
• Mail :info@magnifictraining.com
• Visit : www.hadooponlinetraining.net

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