×
  • Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
 

Queues, Pools, Caches

by Database Administrator at Hewlett-Packard on Mar 09, 2012

  • 1,499 views

Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware ...

Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.

In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.

Statistics

Views

Total Views
1,499
Views on SlideShare
1,495
Embed Views
4

Actions

Likes
1
Downloads
135
Comments
0

1 Embed 4

http://www.linkedin.com 4

Accessibility

Categories

Upload Details

Uploaded via SlideShare as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
Post Comment
Edit your comment

Queues, Pools, Caches Queues, Pools, Caches Presentation Transcript