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Lynda - Learning Hadoop
Categories: Tutorials
Lynda - Learning Hadoop - 191942
Lynda - Learning Hadoop
Hadoop is indispensible when it comes to processing big data—as necessary to understanding your information as servers are to storing it. This course is your introduction to Hadoop, its file system (HDFS), its processing engine (MapReduce), and its many libraries and programming tools. Developer and big-data consultant Lynn Langit shows how to set up a Hadoop development environment, run and optimize MapReduce jobs, code basic queries with Hive and Pig, and build workflows to schedule jobs. Plus, get a sneak peek at some up-and-coming libraries like Impala and the lightning-fast Spark.


Table of Contents

  • Introduction
  • 1. Why Move Away from Relational Databases?
  • 2. What Is Hadoop?
  • 3. Understanding Hadoop Core Components
  • 4. Setting Up the Hadoop Development Environment
  • 5. Understanding MapReduce 1.0
  • 6. Tuning MapReduce
  • 7. Understanding MapReduce 2.0/YARN
  • 8. Understanding Hive
  • 9. Understanding Pig
  • 10. Understanding Workflows and Connectors
  • 11. Other Hadoop Libraries
  • 12. Understanding Spark
  • 13. Visualizing Hadoop Output with Tools
  • Conclusion

    • Lynda - Learning Hadoop


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