The word "data lake" sounds romantically promising. "Throw all data in one place and pull it out later when needed" sounds neat. Yet those who've run a data lake in production know the truth. A poorly designed lake becomes a "data swamp" — nobody knows the schema, Athena queries bill $40 each, millions of tiny files cost hundreds of dollars monthly in S3 LIST fees alone. The real technology of data lakes isn't "where to dump data" but "what format, how to partition, and what metadata catalog to bind it."
In SAP-C02 exams, data lakes anchor the Analytics domain