Data Lakehouse Architecture: A Practical Guide
Data Lakehouse Architecture: A Practical Guide Data lakehouse architecture blends the flexibility of data lakes with the reliability of data warehouses. It stores raw data in a scalable lake, then adds ACID transactions, schema management, and fast SQL queries on top. This setup helps teams break data silos, accelerate analytics, and support machine learning workflows. To use a lakehouse well, plan for data contracts, metadata, and clear data products that your users can trust. The result is a platform where analysts, data scientists, and apps share a common view of the data. ...