Largest Databases in the World

A few days ago, an article caught my eye on the front page of Digg.  It claimed to be a list of the top 10 largest databases in the world.  Unfortunately, the article was riddled was errors. 

To see a more accurate list of the largest databases in the world, I recommend visiting Winter Corporation.  Their TopTen programs are designed to “identify the largest and most heavily used databases”.

The 2005 award winners are listed online.  IBM’s DB2 appears in many of the categories.

We’re hiring Software Developers!

A few weeks back, I mentioned that the DB2 Runtime/Compiler area was hiring co-op students. 

Now, I’m excited to announce that we’re also hiring full-time C/C++ Software Developers.  The ideal candidates are innovative and energetic new graduates that want to develop world-class software at Canada’s largest software development facility, the IBM Toronto Lab.

You can read all the details on official job posting.

Zen and the Art of Database Performance

If you’re interested in understanding DB2 LUW database performance, you won’t want to miss this. 

Performance guru, Steve Rees, is speaking abut tuning and troubleshooting on Wednesday, Feb 21, 2007 at 1 PM EST.  The presentation is part of IBM’s ongoing “Chat with the Lab” series.  You can register for the chat here.

Don’t worry if you can’t attend the live call.  All the chats are recorded and replays are available.

I’m speaking at IDUG 2007 North America

I’ll be speaking at the International DB2 User Group‘s 2007 North American conference on Monday, May 7, 2007 from 1:40 to 2:40 pm.

My topic is “MDC Performance – Customer Examples and Experiences“.  It is session E03 – part of the DB2 for Linux, UNIX, and Windows “Cutting Edge” track.

For those unfamilar, MDC refers to Multidimensional Clustering.  DB2’s MDC technology was developed by IBM Research and shipped with DB2 UDB v8.1.  It is primarily intended for data warehousing and large database environments.  However, customers are also using it in online transaction processing (OLTP) environments.

By changing the physical layout of data, MDC enables customers to automatically cluster their tables along multiple dimensions.  The result is better performance and reduced maintenance.