The Data Flow Architecture Two-Step

Robin Bloor's Data Two Step
The Two Step Data Process

In his latest post on the Actian corporation hosted Data Integration blog, data management industry analystRobin Bloor laid out his vision of data flow architecture. He wrote, “We organize software within networks of computers to run applications (i.e., provide capability) for the benefit of users and the organization as a whole. Exactly how we do this is determined by the workloads and the service levels we try to meet. Different applications have different workloads. This whole activity is complicated by the fact that, nowadays, most of these applications pass information or even commands to each other. For that reason, even though the computer hardware needed for most applications is not particularly expensive, we cannot build applications within silos in the way that we once did. It’s now about networks and grids of computers.”

Bloor said, “The natural outcome of successfully analyzing a collection of event data is the discovery of actionable knowledge.” He went on to say, “Data analysis is thus a two-step activity. The first step is knowledge discovery, which involves iterative analysis on mountains of data to discover useful knowledge. The second step is knowledge implementation, which may also involve on-going analytical activity on critical data but also involves the implementation of the knowledge.” Read more->