Jason Horner is a Microsoft Certified Master of SQL Server and has worked with it for more than 10 years. He began work as a DBA/Application Developer in 1999. He made the transition to delivering BI solutions in 2002 and began working with spatial data in 2008. His latest focus has been architecting large-scale spatially enabled BI solutions.
Jason Horner has submitted 4 sessions for SQLBits 2019, although the agenda hasn't been chosen yet. See all submitted sessions.

Pending Sessions

In this session, we will start with an overview of Azure Data Factory V2 concepts, then show you how you can use metadata to quickly build scalable serverless pipelines to move data from disparate data sources
This session provides a deeper dive into the art of dimensional modeling. We will look at the different types of fact tables and dimension tables, how and when to use them.
In this session, we will provide a solid overview of the concepts that make Azure SQL Data Warehouse different from other versions. We will also look a bit at common migration challenges and how to overcome them
Data lakes have been around for several years and there is still much hype and hyperbole surrounding their use. This session covers the basic design patterns and architectural principles.

Sessions

Previous Sessions

In this session, we will dive deeper into the art of dimensional modeling. We will identify the different types of fact tables and dimension tables and also review approaches to creating rich hierarchies that simplify complex reporting.
Jason_Horner260235.jpg