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A data lakehouse is an architectural approach that combines the performance, functionality, and governance of a data warehouse with the scalability, flexibility, and cost advantages of a data lake.
With open table formats like Apache Iceberg, you can operate directly over your data in the data lakehouse as you would with SQL tables. Open formats allow you to future-proof your data architecture without locking your data into proprietary warehouse formats or requiring endless data copies to support complex ETL processes.
With the data lakehouse, all types of data—structured, semi‑structured, and unstructured—can land and stay in your data lake, providing a single source for all enterprise data and eliminating the need for separate systems to serve real‑time data applications.