The modern data warehouse methodology has changed the patterns used for populating data warehouses. One of those is staging the data in a data lake. The data lake is a raw storage (bronze) of exported data from a source system. Some steps include cleaning this raw data and placing in the next stage – silver. The final dimensional model might be formatted into the data lake stage called gold. From there, it might be a one-to-one match in a relational table structure of dimension and fact tables. The Serverless option in Synapse Analytics lets you skip the relational data resource and place external table structures to reference the gold data lake format. You might think of these external tables like a SQL view. Please join me on creating this new paradigm during this session with many demos.