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2. • Apache Hadoop, the open source data
management software that helps
organizations to analyze massive volumes of
structured and unstructured data, too
unstructured, or from too many diverse
sources to be managed and analyzed through
suitable method . Big
company like Google, eBay, Facebook, and
Yahoo, Hadoop is being
used to for big data analytics.
3. • Participants will learn …
The participant will learn below topics
through practically with ppt and hands-on
exercises
– Understand Big Data & Hadoop
– Hadoop Distributed File System
– Use Map Reduce API and write common
algorithms for same.
4. • Best practices for developing and debugging
map reduce programs
– Advanced Map Reduce Concepts-Advanced
Map Reduce Algorithms
– Hadoop Best PracticesHadoop Tip and
Techniques
– Managing and Monitoring Hadoop Cluster
– Importing and exporting data using Sqoop
– Hive & Pig for big data analysis
– Running Hadoop on Cloud computing.
5. • Course Content:
• Course Outline:
• What is Big Data & Why Hadoop?
• Big Data Characteristics, Challenges with
traditional system
• Hadoop Overview
6. • Hadoop Ecosystem
• Anatomy of Hadoop Cluster
Installing and Configuring Hadoop
• Hadoop Distributed File System
• Name Nodes.
7. • Data Nodes
• Hands-On Exercise
• Map Reduce Anatomy
• How Map Reduce Works?
• The Mapper & Reducer, InputFormats &
OutputFormats, Data Type & Customer
Writables
• Developing Map Reduce Programs.
8. • Setting up Eclipse Development Environment,
Creating Map Reduce Projects, Debugging and
Unit Testing Map Reduce Code, Testing with
MRUnit
• Hands-On Exercise
• Advanced Map Reduce Concepts.
9. • Setting up Eclipse Development
Environment, Creating Map Reduce
Projects, Debugging and Unit Testing Map
Reduce Code, Testing with MRUnit
• Hands-On Exercise
• Advanced Map Reduce Concepts.