Use Azure Synapse serverless SQL pools to transform data in a data lake

Data Engineer
Azure Synapse Analytics

By using a serverless SQL pool in Azure Synapse Analytics, you can use the ubiquitous SQL language to transform data in files in a data lake.

Learning objectives

After completing this module, you'll be able to:

  • Use a CREATE EXTERNAL TABLE AS SELECT (CETAS) statement to transform data.
  • Encapsulate a CETAS statement in a stored procedure.
  • Include a data transformation stored procedure in a pipeline.


Consider completing Use Azure Synapse serverless SQL pool to query files in a data lake before starting this module. You will need the following knowledge or experience:

  • Familiarity with Azure Synapse Analytics.
  • Experience using Transact-SQL to query and manipulate data.