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[BEST SELLER] [UDEMY] [100% OFF] Flume and Sqoop for Ingesting Big Data, $50 - grr - 28 December 17

Flume and Sqoop for Ingesting Big Data

Import data to HDFS, HBase and Hive from a variety of sources , including Twitter and MySQL

Includes:
2.5 hours on-demand video
29 Supplemental Resources
Full lifetime access

What Will I Learn?
  • Use Flume to ingest data to HDFS and HBase
  • Use Sqoop to import data from MySQL to HDFS and Hive
  • Ingest data from a variety of sources including HTTP, Twitter and MySQL


Description
Use Flume and Sqoop to import data to HDFS, HBase and Hive from a variety of sources, including Twitter and MySQL

Let’s parse that.

Quote:Import data : Flume and Sqoop play a special role in the Hadoop ecosystem. They transport data from sources like local file systems, HTTP, MySQL and Twitter which hold/produce data to data stores like HDFS, HBase and Hive. Both tools come with built-in functionality and abstract away users from the complexity of transporting data between these systems. 

Flume: 
Flume Agents can transport data produced by a streaming application to data stores like HDFS and HBase. 


Sqoop: 
Use Sqoop to bulk import data from traditional RDBMS to Hadoop storage architectures like HDFS or Hive. 


What's Covered:

Practical implementations for a variety of sources and data stores ..
  • Sources : Twitter, MySQL, Spooling Directory, HTTP

  • Sinks : HDFS, HBase, Hive

.. Flume features : 

Flume Agents, Flume Events, Event bucketing, Channel selectors, Interceptors

.. Sqoop features : 

Sqoop import from MySQL, Incremental imports using Sqoop Jobs



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