Data Flow for the Hadoop Ecosystem

Apache Hadoop 2.0
  • 12 Videos | 1h 3m 5s
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Data must move into and through Hadoop for it to function. Here we look at Hadoop and the data life cycle management, and use Sqoop and Hive to flow data.

WHAT YOU WILL LEARN

  • describe the data life cycle management
    recall the parameters that must be set in the Sqoop import statement
    create a table and load data into MySQL.
    use Sqoop to import data into Hive
    recall the parameters that must be set in the Sqoop export statement
    use Sqoop to export data from Hive
  • recall the three most common date datatypes and which systems support each
    use casting to import datetime stamps into Hive
    export datetime stamps from Hive into MySQL
    describe dirty data and how it should be preprocessed
    use Hive to create tables outside the warehouse
    use pig to sample data

IN THIS COURSE

  • Playable
    1. 
    The World of Data
    8m 41s
    UP NEXT
  • Playable
    2. 
    Sqoop and Hive
    2m 40s
  • Locked
    3. 
    Loading SQL Data Tables
    1m 26s
  • Locked
    4. 
    Importing Data into Hive
    6m 35s
  • Locked
    5. 
    Sqoop and Hive Exports
    3m 14s
  • Locked
    6. 
    Exporting Data from Hive
    7m 23s
  • Locked
    7. 
    Working with Date data types
    1m 58s
  • Locked
    8. 
    Importing Datetime Stamps
    5m 50s
  • Locked
    9. 
    Exporting Datetime Stamps
    4m 41s
  • Locked
    10. 
    Preprocessing Data
    4m 24s
  • Locked
    11. 
    Cleaning with Functions
    7m 45s
  • Locked
    12. 
    Cleaning with Regular Expressions
    4m 27s

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