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Alexander Wagner's avatar

Great article! I like your house-city analogy and will likely borrow it. One thing I did not see in your data architecture responsibilities is training. Where do you see data and AI awareness creation, specific data system trainings, etc.? Is there a part for data architecture, are they even in the driver seat?

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Dylan Anderson's avatar

Thanks Alexander! Training is so important, but it isn't just important for data architecture, it is important for everything. I think data architecture can be in the drivers seat of the technology architecture that enables AI, but it is hard to be for the overall initiative. This plus the training may fit in with change management or transformation teams supported by a the technical architects or analysts

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Hardy's avatar

great article

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Yordan Ivanov's avatar

Great article, Dilan! I like how well you structured different stages.

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Dylan Anderson's avatar

Thanks Yordan! Glad it was helpful :)

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Saddam Hussein's avatar

What is the difference of data architecture and data platform? What about data strategy?

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Dylan Anderson's avatar

I’ve written a previous two articles on data platforms. It’s more of a tech focus, where as data architecture is how it all stitches together and how the data flows. They are interdependent. Data strategy helps you translate your business goals into data tasks/ activities, so it informs the platform and architecture

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Rafik's avatar

Where to learn the foundations of data architecture? Any certification and/or recommended readings?

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Dylan Anderson's avatar

I would recommend TOGAF for a certification but this is a pretty intense process (if your employer would sponsor it all the better). The DAMA-DMBoK book is a great resource, I've used it for this article and many others because it is basically a textbook on all things data!

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