Category: Software, Business, Data, Architecture, automation, artificial-intelligence

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The data ecosystem has significantly evolved over the last few decades — from data warehouses in the 1980s to enterprise data lakes in the early 2000s to the rise of the Lakehouse concept that combines the best of both worlds today. They are what you would get if you had to redesign data warehouses in the modern world, now that cheap and highly reliable storage (in the form of object stores) are available.

By unifying the various personas that exist within your organizations — data scientists, data engineers, business analysts and domain experts — you can enable them to work together against the same set of data to drive business value through key use cases.

To democratize access to quality data, you’ll need to minimize the number of copies of data in your ecosystem.

I don’t recommend this approach because you’ll increase your risk scope by creating additional copies of data, and it’s very difficult to keep all your data in sync.

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