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