Data Flow for the Hadoop Ecosystem
Apache Hadoop 2.0
| Intermediate
- 12 videos | 59m 5s
- Earns a Badge
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
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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
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8m 41s
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2m 40s
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3. Loading SQL Data Tables1m 26s
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4. Importing Data into Hive6m 35s
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5. Sqoop and Hive Exports3m 14s
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6. Exporting Data from Hive7m 23s
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7. Working with Date data types1m 58s
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8. Importing Datetime Stamps5m 50s
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9. Exporting Datetime Stamps4m 41s
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10. Preprocessing Data4m 24s
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11. Cleaning with Functions7m 45s
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12. Cleaning with Regular Expressions4m 27s
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Channel
Wintellect Apache Hadoop
