A data lakehouse is an architecture that combines the low-cost raw storage of a data lake with the table structure, transactions and governance of a data warehouse, so reporting and machine learning can work on the same platform.
Data lakeA data lake is a large store that keeps data in its raw form, structured or unstructured, until someone needs it. It is cheap and flexible, but without catalogue, ownership and quality controls it can become a "data swamp" that nobody trusts.
Data warehouseA data warehouse is a central database that stores cleaned, structured and historical data from many source systems, organised for reporting and analysis. Data marts are smaller subject-specific extracts of it, for example for finance or risk.
Data lakeA data lake is a large store that keeps data in its raw form, structured or unstructured, until someone needs it. It is cheap and flexible, but without catalogue, ownership and quality controls it can become a "data swamp" that nobody trusts.
Data warehouseA data warehouse is a central database that stores cleaned, structured and historical data from many source systems, organised for reporting and analysis. Data marts are smaller subject-specific extracts of it, for example for finance or risk.