Your SlideShare is downloading. ×

Real-Time Data Loading from MySQL to Hadoop with New Tungsten Replicator 3.0

151

Published on

Hadoop is an increasingly popular means of analyzing transaction data from single MySQL or multiple MySQL servers. Up until now mechanisms for moving data between MySQL and Hadoop have been rather …

Hadoop is an increasingly popular means of analyzing transaction data from single MySQL or multiple MySQL servers. Up until now mechanisms for moving data between MySQL and Hadoop have been rather limited. The new Continuent Tungsten Replicator 3.0 provides enterprise-quality replication from MySQL to Hadoop. Tungsten Replicator 3.0 is 100% open source, released under a GPL V2 license, and available for download at https://code.google.com/p/tungsten-replicator/.

Continuent Tungsten handles MySQL transaction types including INSERT/UPDATE/DELETE operations and can materialize binlogs as well as mirror-image data copies in Hadoop. Continuent Tungsten also has the high performance necessary to load data from busy source MySQL systems into Hadoop clusters with minimal load on source systems while retaining control over how the data is viewed and accessed within Hadoop.

We discuss:

- How Hadoop works and why it's useful for processing transaction data from MySQL
- Setting up Continuent Tungsten replication from MySQL to Hadoop
- Understanding how Hadoop makes data analytics efficient and easy to execute
- Tuning replication to maximize performance.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
151
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

×