No, Ms Manes, SOA is NOT dead
This morning my RSS feeds had an update from Ms Manes’ blog again. She points to an article by Dan Woods of Forbes.com and says of his article that she is “pleased to see that Dan read beyond the first paragraph, and he understands the core message of my post (i.e., ‘SOA has been disappointing and that services should be a key focus’)” …
I wonder if Ms Manes realizes that she advocated exactly the same thing that Mr Woods advocated and then went on to slam the idea? In her original post she argued that the focus should shift from SOA to building services, and yet here she is arguing that just building services will result in fragile, expensive systems. Ms Manes is just flat-out contradicting herself.
SOA… Dead???… Really???…
“SOA is Dead; Long Live Services,” proclaimed Amy Thomas Manes on January 5th, 2009.
When I read Ms Manes’ post, I felt like the person standing on the sidewalk in a movie. The camera is focused on me and someone (SOA) steps out into the street. From the side of the screen, off-camera, a bus comes careening past and the person that stepped into the street is hit and taken completely out of camera and I’m left standing with my jaw on my knees.
Data Architecture – Getting Back to Basics
In a recent study by Forrester Research, they found that 74% of over 400 companies surveyed view data strategy as critical or very important, but only 17% of them had a mature data strategy in place.
When you consider that most enterprises are outsourcing a substantial part of their core business systems, it is frightening that they do not have a strategy in place. The result is that each of their vendors defines their own view of the data and the enterprise loses control of what happens with their application infrastructure.
In this article we will briefly look at what Data Strategy is, and then focus on how data architectural integrity can be maintained in the Enterprise Architecture process.
Tags: Canonical Model, Data Architecture, Database Design, Enterprise Application Integration, Enterprise Architecture, Enterprise Data Model