The design of a data lake's layers, from the zone where raw data lands to the processed and cataloged zones that serve it to analysts and models.
A well-built Data Lake Architecture separates compute from storage. Organizations can keep large volumes of raw text, video, and logs in low-cost object storage (such as S3) and start elastic compute clusters on demand to process and vectorize that data for Private AI systems.
See also Data Lake, Private AI, Data Mobilization, Data Lakehouse and Vector Database.