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rudderstack.com · newsletter
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It’s safe to assume that most of us would love to have an actual lakehouse to use for vacations and holidays.
When it comes to the data stack, though, the term “data lakehouse” is fairly new and begs the question, “if I already have a data lake and a data warehouse, do I need a data lakehouse?”
In this comprehensive guide, we first define what a data lakehouse is, then dig into the specifics of how they fit into modern stack architectures for customer data.
Here’s a preview:
“Data lakes and lakehouses are quickly becoming fully-featured data warehouses with infinite scale and low cost. Customer data is a natural fit for such a storage and processing layer. These architectures will allow you to support any possible use case you might have in the future, even if all you care about today is operational analytics.”
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