7 Steps to Smarter Integration
Sometimes, change can be worthwhile. The key is knowing what's worth pursuing and what's not.
Data integration vendors are no slouches when it comes to improving their tools. Judging by my inbox, that appears to be all they do.
Seriously, I can't imagine any other market does as many upgrades and releases as the data management set. At least twice a year - and I truly mean that as a minimum - vendors contact me about new improvements.
Heads up, ETL vendors: Before your next releases, you might want to check out what Philip Howard, data management research director at Bloor Research, has to say about simplifying integration.
"You can see their point," Howard writes in an IT-Director column. "Conversely, if you have 15 data sources, or 50, then you are dealing with a complex problem and hiding that complexity isn't necessarily easy. However, it did get me thinking about how much easier it could be."
Howard follows up with a rundown of ideas about how integration can be simpler, easier and all-around smarter. Analysts tend to write about pretty high-level, cutting-edge stuff. I found Howard's list refreshing because it's so practical and immediately relevant.
He also mentions that IBM is doing something that will make integration simpler but since it wasn't his idea, he isn't at liberty to share yet.
It makes sense to me. Of course, I'm not an actual data integration worker - just a technology journalist - so what do I know? Having shared this, I accept the risk that my inbox will soon be filled with pitches from PR people telling me exactly how they're already supporting all these suggestions either now or in their very next release.