Data lake strategies for analytics maturity
Data lake strategies for analytics maturity A data lake can be more than a big store. It should be a platform for reliable insights. When teams mature, the lake supports governance, self-service analytics, and fast experimentation. The aim is not more data, but the right data fast. Maturity can follow clear steps. Start with basic ingestion and simple dashboards. Move to integrated datasets from several sources. Add governance and data quality checks. Finally, enable self-service analytics and reusable data products. ...