What is a data lakehouse architecture and why is it replacing traditional data warehouses?

A data lakehouse combines the scalability of data lakes with the performance and structure of data warehouses.

Lakehouse architecture merges raw data storage (like data lakes) with transactional capabilities and schema enforcement (like warehouses). Technologies like Delta Lake, Apache Iceberg, and Apache Hudi enable ACID transactions, schema evolution, and time travel on object storage. This removes the need for separate ETL pipelines into warehouses while maintaining high performance analytics.