The Data Lakehouse Explained

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