Data Lakes: Structure and Optimization

This lecture discusses the concept of data lakes as central repositories for various data sources, highlighting their differences from data warehouses in terms of flexibility and tools for data cleaning. It explores the structure of data, distinguishing between structured, semi-structured, and unstructured data, and emphasizes the importance of structure discovery for effective data querying. The instructor also explains the objective of data lakes to eliminate the need for ETL processes before data ingestion, allowing for flexible data processing and software compatibility.