Lakehouse: Uniting the Data Lake and Warehouse in One Layer
For years the data lake and the data warehouse were two separate worlds and data was copied twice. The lakehouse collapses that duality into one layer with open table formats.
Articles on data lake architecture: lakehouse design, open table formats such as Apache Iceberg, real-time data streaming with Apache Kafka, and when to choose a data lake or a data warehouse.
For years the data lake and the data warehouse were two separate worlds and data was copied twice. The lakehouse collapses that duality into one layer with open table formats.
The three pillars of a modern big-data platform: open-table-format lakehouse, real-time streaming, vector stores. Design decisions for 2026.
With Snowflake, AWS and Databricks all backing it, Iceberg has become the de-facto standard for open table formats. End of vendor lock-in or new complexity?
Apache Kafka, the backbone of event-driven architectures, fundamentally changes the link between operational systems and the analytical layer — when it is set up right.
Lake and warehouse still serve different needs. The lakehouse converges them — but the decision matrix matters more than ever.