Foreword

Data integration has been the information systems profession’s most enduring challenge.

It is almost four decades since Richard Nolan nominated data administration as the penultimate stage of his data processing maturity model, recognizing that the development of applications to support business processes would, unless properly managed, create masses of duplicated and uncoordinated data.

In the early days of database technology, some of us had a dream that we could achieve Nolan’s objective by building all of our organizations’ databases in a coordinated manner to eliminate data duplication: “Capture data once, store it in one place, and make it available to everyone who needs it” was the mantra.

Decentralized computing, packaged software, ...

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