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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.

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

HERE