Veröffentlicht : Apr 26, 2023
Trial Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
Lakehouse architecture is an architectural style that combines the scalability of data lakes with the reliability and performance of data warehouses. It enables organizations to store and analyze large volumes of diverse data in a single platform as opposed to having them in separate lake and warehouse tiers, using the same familiar SQL-based tools and techniques. While the term is often associated with vendors like Databricks, open alternatives such as Delta Lake, Apache Iceberg and Apache Hudi are worth considering. Lakehouse architecture can complement data mesh implementations. Autonomous data product teams can choose to leverage a Lakehouse within their data products.