
Virtual Data Modeling on AWS: Architecture, Trade-offs, and When Not to Use It
Virtual data modeling on AWS creates a read-only semantic layer over your data lake or warehouse — without copying data. Here is a practical guide to when it works, when it backfires, and how to implement it correctly with Athena, Redshift, Glue, and Lake Formation.

