The Data Lakehouse Explained

This comprehensive five-part explainer introduces the concept of a "data lakehouse," explores what is new and different about the model, and assesses its viability.

Stephen Swoyer, Contributor

October 7, 2022

1 Min Read
data lake data warehouse

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 eBook 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 1 defines the data lakehouse and explains what differentiates it

  • Part 2 in 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 3 assesses 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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About the Author(s)

Stephen Swoyer


Stephen Swoyer is a researcher and analyst with 25 years of experience. His research has focused on business intelligence (BI), data warehousing, analytics, data science, machine learning and the larger information management segment for nearly 20 years. He also enjoys researching and writing about software development and software architecture – or technology architecture of any kind, for that matter. Swoyer is a recovering philosopher, with an abiding focus on ethics, philosophy of ideas and philosophy of science.

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