This comprehensive five-part explainer is brought to you by ITPro Today
What’s a data lakehouse?
At a high level, the data lakehouse describes a data warehouse-like service that runs against a data lake, which sits on top of an object storage service. But how does it work? And is it a viable option for your organization?
This comprehensive five-part explainer on the data lakehouse aims to introduce the concept, describe what is new and different about it, and assess the strengths and weaknesses of data lakehouse architecture as a complement to the data warehouse.
Part 1defines the data lakehouse and explains what differentiates it
Part 2in this series explores this architecture as an attempt to adapt (or to retrofit) the core requirements of data warehouse architecture to accord with the priorities of cloud-native software design
Part 3assesses the viability of the lakehouse for typical data warehouse workloads
Part 4 explores the use of data modeling with the data lakehouse. It evaluates the claim that the data lakehouse comprises a lightly modeled alternative to the conventional enterprise data warehouse
Part 5 compares the data lakehouse with the platform-as-a-service (PaaS) data warehouse, which is also based on cloud-native design principles
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