The development of a data warehouse includes also many iterative tasks like loading several tables from different source systems. Lets avoid doing these boring tasks manually and speed up the development of your data loads by implementing metadata-based ETL processes and data models.

Join this session to
* learn about different ways for metadata-based data engineering in the Azure Data Platform
* learn how a tool like TimeXtender supports you in your DWH development
* hear about the experiences from our customer projects
* see a live demo with an implementation in Azure Synapse and a data warehouse built with TimeXtender