Data Integration Blog -

Data Integration has garnered lots of attention in the IT press for several years.  People write about techniques, protocols and standards all the time.  But aren’t the real reasons that we need integration often overlooked? What business problem are we solving by integrating?  How much data do we need integrated?  How often do we need [...]

We’ll it’s after the New Year, but January is not a bad time to list things that IT can do to improve data integration within the enterprise.  In many cases it’s time to approach data integration for the first time.  In others, it’s a matter of tuning things up.  Either case, it’s a good idea [...]

With the growing interest in the potential business value to be gleaned from “Big Data” or Extreme Information analytics, a new role has been gaining interest: the Data Scientist. The data scientist is a hybrid role encompassing computer science, advanced statistics/mathematics, forensics analytics and other advanced skills, as well as business savvy. The data scientist [...]

NoSQL became a buzz word in the last 12 months. Why? The short explanation is that there are a number of new databases which don’t depend entirely on SQL (which we can think of as Not Only SQL databases) and some which don’t depend on SQL at all (which we can think of as absolutely [...]

Over time, enterprises have usually considered data migrations a task that falls mostly to IT. Considering how crucial data migrations are to business processes, companies need to develop migration strategies that focus on the real purpose: business-ready and business-usable data. The owners of key business knowledge should be fully involved in plans and many tasks [...]

  I’ve been talking about big data, and the need for big data integration for some time now.  The concept is rather simple.  If we are moving to a big data platform, typically within a cloud, and typically consolidating enterprise data, then we must have a workable data integration strategy and the right technology. Let’s [...]