Before we get down to the brass tacks, it’s helpful to quickly list out what the specific benefits we want an ideal data lake to deliver. These would be:

The ability to collect any form of data, from anywhere within an enterprise’s numerous data sources and silos. From revenue numbers to social media streams, and anything in between.
Reduce the effort needed to analyze or process the same data set for different purposes by different applications.
Keep the whole operation cost efficient, with the ability to scale up storage and compute capacities as required, and independent of each other.

And with those requirements in mind, let’s see how to set up a data lake with AWS

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