Hi, my name is Jason I'm a practice lead at Redapt. I spend most of my day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. 
Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Store, Azure Data Bricks, HDInsight and Azure SQL Database. I'm fluent in several languages including: SQL, C#, Python, and PowerShell. I'm a Microsoft Certified Master of SQL Server (MCM) and have been recognized for my technical excellence and evangelism efforts by Microsoft by being awarded the Most Valuable Professional (MVP) for the last 5+ years. In my off hours I like to snowboard, karaoke, ride roller coasters and play arcade games
Jason Horner has submitted 8 sessions for SQLBits 2020, although the agenda hasn't been chosen yet. See all submitted sessions.

Pending Sessions

Are you struggling to get your analytics and data projects started on Azure? Overwhelmed by where to start or which services to choose? This session is a complete guide through getting an environment set up.
The cloud provides agility but if you are manually creating resources via the portal or even if you are using PowerShell you may not be taking advantage of the best way to deploy resources to Azure.
Data lakes have been around for years yet there is still much hype and hyperbole surrounding their use. This session goes beyond corny puns and broken metaphors and instead provides real-world guidance.
In this session we review the key principals for designing a DataOps process and will walk through a functioning Azure DevOps pipeline that's focused on deploying a Modern data platform solution.
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.
Is your Power BI Model holding you back? In this session, we will look at some common techniques you can do today to improve the usability, performance and functionality of your Power BI Reports and Models.
In this session, we will first review the basics of dimensional modeling. Then we will dive deeper into the art of dimensional modeling. We will look at how and when to create the different types of fact and dimensions.
In this session we explore the seven habits that will help ensure that your data warehouse is used and loved by the end users..

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.
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.
Jason_Horner260235.jpg