Data Warehousing courses

Learn how a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace.

The word “Kimball” is synonymous with dimensional modeling. Learn how to apply Ralph’s techniques for developing your dimensional model, from the basics to the most advanced.

Learn the essential elements of the popular Kimball approach as described in the bestselling book, The Data Warehouse Lifecycle Toolkit.

Learn the tools and techniques needed to capture new data types, establish a data pipeline to produce re-usable data assets, modernize your data warehouse and bring together data and analytics.

Learn how to migrate a data warehouse schema, data and ETL jobs and security while minimizing the impact on business users. Should you migrate an existing data warehouse ‘as is’ or try to make changes during migration?

Experience the full potential of Data Warehouse Automation technology by attending a 4-hour hands-on workshop.

This course helps you understand all the factors necessary for effectively designing the back room ETL system of your Kimball DW/BI environment.