Data Lakes and Data Warehouses: Modern Data Stacks
Data Lakes and Data Warehouses: Modern Data Stacks Data lives in many places inside a company. A modern data stack uses both a data lake and a data warehouse to support different kinds of analysis. The lake is a large, flexible store for raw data in many formats. The warehouse is a smaller, structured space designed for fast, reliable queries. Together they cover the data journey from capture to insight. A lake handles data variety and volume, making it easy to ingest logs, events, sensor readings, and raw files. A warehouse cleans and models data so dashboards and reports are accurate and consistent. Many teams also explore a lakehouse idea, which blends parts of both worlds. In practice, organizations often keep raw data in the lake and publish curated tables to the warehouse, or run transformations on the lake and query directly. ...