It's no secret that chaos prevails in the average IT environment. Ambiguity, redundancy, and incompatibility add crippling complexity to our IT worlds, throwing practitioners off course from their long-term strategic objectives -- if these existed in the first place. If we broaden our definition of data integration to that of a "data integration framework," we can solve these perennial IT challenges. A data integration framework greatly simplifies architectures and creates a structure within which data-centric applications can be built the "right" way today.
IT organizations exist in state of constant change and ever-increasing complexity: new people, legacy applications, time-to-market pressures, financial constraints -- a steady barrage of urgent demands. All of these create a jumble of great disorder and confusion, resulting in valiant efforts in reaction to the latest fire drill. When technologists find themselves unable to reconcile short-term versus long-term demands, the picture of comprehensibility-eroding complexity is painted. Must we resign ourselves to this continuous chaotic state? No.
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