22-25 April 2026 Jason Horner
Hi, my name is Jason I'm a Independent consultant and trainer focused on the Azure Data Platform. 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 Synapse Analytics, Azure Data Lake Store, Azure Databricks, 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 previously awarded the Most Valuable Professional (MVP) for the 6 years.
I'd love to speak at your upcoming event or user group don't hesitate to email me or reach out on linkedIn or twitter.
In my off hours I like to snowboard, karaoke, ride roller coasters and play arcade games
Jason Horner's Training Days
Azure Data Factory Deep DiveSQLBits 2019
This immersive full day hands on session will arm you with all the skills you need to build and orchestrate pipelines using Azure Data Factory v2 that solve both traditional data integration problems, real-time, and complex event processing.
Dimensional Modeling: From Zero to HeroSQLBits 2017
In this session, we will first understand 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 dimension tables.
Jason Horner's Sessions
Azure Data Lake Design PatternsSQLBits 2020
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.
Data Lake Design PatternsSQLBits 2019
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.
Dimensional Modeling: Beyond the BasicsSQLBits 2018
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.
A Head First dive into Azure Synapse Analytics Data Explorer PoolsSQLBits 2022
This session shows you how to unlock insights in your log and telemetry using Azure Synapse Analytics Data Explorer Pools.
Azure SQL Monitoring FundamentalsSQLBits 2022
Migrating you on-premises Database to Azure SQL DB was easy but now comes the hard part how do you setup monitoring and alerts?
Azure Synapse Analytics Picking the Right PoolSQLBits 2022
This session covers the main uses cases for each of the Azure Synapse Analytics Pools: Spark, Dedicated SQL, Serverless SQL and Data Explorer.
Event Driven ETL With Synapse PipelinesSQLBits 2022
In this session, we will look at how to use synapse pipeline to orchestrate event driven data pipelines in Azure Synapse.
Join The Spark Side: Spark SqlSQLBits 2022
Want to get started with data transformation but feel left out because you don't know Python or Scala? This session is for you!
Real World Production Data Pipelines with Apache SparkSQLBits 2022
this session will help understand the use cases and best practices for working with Apache Spark in either Azure Databricks or Synapse Pools. Along the way, we'll cover operational areas like DevOps, alerting and monitoring, performance tuning, and managing costs.
The Waffle Cutter's Guide to KQLSQLBits 2022
This session will teach you the basic syntax of KQL, comparing it to the T-SQL constructs you are already familiar then cover more advanced query scenarios to query data from Azure Monitor and Data Explorer
Azure Data Lake Design PatternsSQLBits 2020
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.
Data Lake Design PatternsSQLBits 2019
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.
Dimensional Modeling: Beyond the BasicsSQLBits 2018
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.