An architectural approach that integrates the capabilities of data lakes and data warehouses. It aims to combine the data management features and performance of data warehouses with the cost-effective storage and flexibility of data lakes, offering unified storage for structured, semi-structured, and unstructured data. This architecture is particularly beneficial for organizations seeking to manage diverse data types and workloads efficiently while maintaining high performance and cost efficiency.
*A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native format and process any variety of it, ignoring size limits.
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