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

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Big data training and placement

  • 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.
  • 2. Big data training and placement • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933994, 6786933475 • Mail :info@magnifictraining.com • Visit : www.magnifictraining.com
  • 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