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Big data training and placement
Big data training and placement
Big data training and placement
Big data training and placement
Big data training and placement
Big data training and placement
Big data training and placement
Big data training and placement
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Big data training and placement

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or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

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

INDIA: +91-9052666559

USA: +1-6786933994
+6786933475

visit www.magnifictraining.com

Published in: Technology, Business
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  • 1. big data training and placement 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 training and placement • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933994, 6786933475 • Mail :info@magnifictraining.com • Visit : www.magnifictraining.net
  • 3. big data training and placement • ADpevpelilcoaptiinogn st he map-reduce • Pig concepts • Hive concepts • Oozie workflow concepts • HBASE Concepts • Real Life Use Cases
  • 4. big data training and placement • 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 and placement • Use Cases of Hadoop • Histiry of Hadoop • Hadoop eco systems • Hdfs • Map reduce • Statistics
  • 6. big data training and placement • Understanding the Cluster • Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness
  • 7. big data training and placement • 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 and placement • Developing the Map Reduce • Application • Data Types • File Formats

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