hadoop training in gurgaon
Contact For more Details :
+91-9052666559
www.hadooponlinetraining.net
• Apache Hadoop, the open source data
management software that helps
organizations to analyze massive volumes of
structure...
• Participants will learn …
The participant will learn below topics
through practically with ppt and hands-on
exercises
– ...
• Best practices for developing and debugging
map reduce programs
– Advanced Map Reduce Concepts-Advanced
Map Reduce Algor...
• Course Content:
• Course Outline:
• What is Big Data & Why Hadoop?
• Big Data Characteristics, Challenges with
tradition...
• Hadoop Ecosystem
• Anatomy of Hadoop Cluster
Installing and Configuring Hadoop
• Hadoop Distributed File System
• Name N...
• Data Nodes
• Hands-On Exercise
• Map Reduce Anatomy
• How Map Reduce Works?
• The Mapper & Reducer, InputFormats &
Outpu...
• Setting up Eclipse Development Environment,
Creating Map Reduce Projects, Debugging and
Unit Testing Map Reduce Code, Te...
• Setting up Eclipse Development
Environment, Creating Map Reduce
Projects, Debugging and Unit Testing Map
Reduce Code, Te...
Thank You
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Hadoop training in gurgaon

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* Resume preparation and Interview assistance will be provided.
For any further details please

contact India +91-9052666559
Usa : +1-678-693-3475.

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

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Hadoop training in gurgaon

  1. 1. hadoop training in gurgaon Contact For more Details : +91-9052666559 www.hadooponlinetraining.net
  2. 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. 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. 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. 5. • Course Content: • Course Outline: • What is Big Data & Why Hadoop? • Big Data Characteristics, Challenges with traditional system • Hadoop Overview
  6. 6. • Hadoop Ecosystem • Anatomy of Hadoop Cluster Installing and Configuring Hadoop • Hadoop Distributed File System • Name Nodes.
  7. 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. 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. 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.
  10. 10. Thank You

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