Whether thats a desirable development is debatable, but for their part, relational DBMS (RDBMS) vendors are tackling the burgeoning size and quantity of databases by making new releases as self-managing, self-tuning and self-healing as possible.
IBM this week stepped up to the plate with "Stinger," the code name for the next major release of its DB2 database. The beta release comes just in time for next weeks International DB2 Users Group (IDUG) conference in Orlando, Fla., where Selinger will keynote.
Selinger is an IBM fellow and vice president of data management architecture and technology for the IBM Software Group at the IBM Silicon Valley Lab, in San Jose, Calif. eWEEK.com Database Center Editor Lisa Vaas caught up with Selinger to talk about which aspects of the new release will help businesses deal with the ever-increasing data flow in terms of business intelligence, content management and information integration.
She also discussed what we can expect in future releases vis-à-vis XML capabilities and the new version of DB2 Information Integrator, code-named Masala, which will allow users to simultaneously retrieve information from databases, applications and the Web.
I hear that youre going to talk about business intelligence in your keynote. Whats up in that arena, and how is Stinger going to help businesses cope?
Volumes of data are increasing dramatically. People who thought that keeping three months of data online was good enough are now thinking they need 15 months. And the amount of transaction data is growing larger and larger.
People are … personalizing Web pages. They can no longer record a Web page, because it was composed on the fly. You have to capture whatever 15 pieces composed the Web page.
This dramatically increases the amount of data youre capturing and the amount you have to analyze. You could have had a warehouse with 10 processors, but now youre looking at needing 20 or 30 processors. So, scaling up is one direction things are inflating.
The second is the number of users. It used to be there were gates on the warehouse, and only certain people could look at the data. But with the ability to do almost real-time replication with Queue Replication in Stinger, we can now deliver data almost in published form. You can publish this data out to smaller data marts or individual peoples workstations.