Data Lake House

A hybrid architecture combining the low-cost storage of a data lake with the high-performance ACID transactions of a data warehouse.

Data lakehouses eliminate the architectural friction between BI and AI by implementing a metadata layer (like Delta Lake or Apache Iceberg) directly on top of cloud object storage (S3 or ADLS). This design provides the schema enforcement and concurrency control typical of Snowflake or BigQuery while maintaining the open format flexibility required for machine learning workloads. By unifying these environments, teams reduce data redundancy by 50% or more and ensure that data scientists and SQL analysts are working from the same governed source of truth.

https://www.databricks.com/glossary/data-lakehouse