Build a Logical Enterprise Data Warehouse using Azure Data Lake Storage Gen 2 and Synapse Serverless SQL pools Overview A common pattern in Modern Data Warehouse architecture is to land your source data in its existing format into a data lake followed by transforming and loading it into an Enterprise Data Warehouse (EDW) for reporting and analytics. In Microsoft Azure, this translates to loading data into Azure Data Lake Storage Gen2 (ADLS), transforming data with Synapse or Azure Data Factory Pipelines, storing data in an Azure Synapse Dedicated Pool database or other Azure relational data store, and building reports over...