In a recent post at Dataversity , Jay Zaidi asked Should Users Switch from Office Productivity Tools to a Commercial Data Quality Tool? . Jay writes in his intro: Due to the proliferation of software tools within companies, end users tend to cringe when there is talk of a new tool that they should use for data analysis, data validation and data transformation. They are very...
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A data model is a way of representing data along with the logical operations that can be performed on that data. It is the foundation on which everything else is built in enterprise applications because at their core they store, access and manipulate data. The data model you choose can make things easy or very difficult. It can add complexity or not. It can require lots of expert setup and...
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What matters most, Big Data or Right Data? One look at all the IT headlines these days would suggest that Big Data is the most important data issue today. After all, with lots of computing power and better database storage techniques it is now practical to analyze petabytes of data. However, is that really the most compelling need that end users have? I don’t think so. Instead, I would claim...
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Flexible, Agile, Easy to Use...words on every website for seemingly every database, business intelligence, or operational intelligence product on the market! Customers simply do not take these claims seriously anymore because theyave been promised again and again by vendors who have consistently failed to deliver on these promises. How then can I describe something that really is a major...
Read More About What the Semantic Web and Digital Cameras have in Common »

Domain-driven design (DDD) is an approach to developing software for complex needs by deeply connecting the implementation to an evolving model of the core business concepts.[1] The premise of domain-driven design is the following: Placing the project's primary focus on the core domain and domain logic Basing complex designs on a model Initiating a creative...
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