ESS 101 - Apache Hadoop Essentials

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About this Course

This courses is designed to introduce students to the basics of Apache Hadoop. This course covers the Hadoop Distributed File System, MapReduce, the Apache Hadoop Ecosystem, and real-world use cases that use Hadoop.


Completion of ESS 100


Lesson 3 - Core Elements of Apache Hadoop

  • Compare and Contrast Local and Distributed File Systems
  • Explain Data Management in the Hadoop File System
  • Summarize the MapReduce Algorithm

Lesson 4 - The Apache Hadoop Ecosystem

  • Define the Apache Hadoop Ecosystem
  • Administration: ZooKeeper, YARN
  • Ingestion: Flume, Oozie, Sqoop
  • Processing: Spark, HBase, Pig
  • Analysis: Hive, Drill, Mahout

Lesson 5 - Solving Big Data Problems with Apache Hadoop

Summarize the Following Use Cases:

  • Data Warehouse Optimization
  • Recommendation Engine
  • Large Scale Log Analysis