This article presents reference architectures and examples of data lake implementations, from around the web as well as from Upsolver customers. For a

8 Examples of Data Lake Architectures on Amazon S3

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2021-06-13 05:00:03

This article presents reference architectures and examples of data lake implementations, from around the web as well as from Upsolver customers. For a more detailed, hands-on example of building a data lake to store, process and analyze petabytes of data, check our data lake webinar with ironSource and Amazon Web Services. 

So you’ve decided it’s time to overhaul your data architecture. What’s next? How do you go about building a data lake that delivers the results you’re expecting.

Well, we’re strong believers in the notion that an example is worth a thousand convoluted explanations. That’s why this post is all about real-life examples of companies that have built their data lakes on Amazon S3. Use it for inspiration, reference or as your gateway to learn more about the different components you’ll need to become familiar with for your own initiative.

As a leading global provider of business intelligence software, data-driven decision making is embedded in Sisense’s DNA. One of the richest sources of data the company has to work with is product usage logs, which capture all manners of users interacting with the Sisense server, browser and cloud-based applications.

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