1. The Motivation for Hadoop

    2. Hadoop Overview

    3. Data Storage: HDFS

    4. Distributed Data Processing: YARN, MapReduce, and Spark

    5. Data Processing and Analysis: Hive and Impala

    6. Database Integration: Sqoop

    7. Other Hadoop Data Tools

    8. Exercise Scenario

    9. Hands-On Exercise: Accessing the Exercise Environment

    10. Hands-On Exercise: General Notes

    11. Hands-On Exercise: Starting the Exercise Environment

    12. Hands-On Exercise: Data Ingest with Hadoop Tools

    13. Exercise Review: Data Ingest with Hadoop Tools

    14. Test Your Learning (4 Questions)

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