Embarking on a data integration project is an exciting time. You are ready to see how data integration can deliver on its promises to make your organization more efficient and productive. But, what are essential elements, and what components are merely nice to have?
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Take a second to think about what your current data request process looks like. Does your staff have to constantly ask IT to run queries to access the internal data they need for mission-critical tasks? Or, can they get what they need on their own through self-service capabilities?
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One of the most important steps in an integration project is to assess your current technological capabilities. A crucial component of your technological capabilities is your existing integration platform. Will it be up to the challenges of this project?
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The terms “data warehouse,” “data lake,” and “data mart” might sound like different terms to describe the same thing. While data warehouses, data lakes, and data marts all describe data repositories, they are different. Confusing them can lead to problems with your data integration project.
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2019 is rapidly approaching. This could be the year you embark on a data integration project. However, for the project to succeed, you must assess your data.
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