The document provides an overview of the topics covered in a course on big data and Hadoop. The course introduces students to big data concepts and Hadoop, examines the Hadoop ecosystem including HDFS, MapReduce, Pig, Hive, Oozie, and HBASE. Students will learn practical applications of Hadoop through real-life use cases and hands-on exercises like writing and reading files from HDFS and developing MapReduce applications.

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

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

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

7. Big data training uk
• 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 training uk
• Developing the Map Reduce
• Application
• Data Types
• File Formats