Summarize A data lake stores all types of raw, unprocessed data, making it flexible and cost-effective but harder to navigate without expertise. A data warehouse stores structured, processed data, ideal for fast queries and business intelligence but less flexible and more expensive. Use a data lake for big data, machine learning, and diverse sources. Use a data warehouse for clean, reliable reporting and decision-making. Many businesses combine both in a data lakehouse to balance flexibility a...
