Jared Kuehn
Data Platform MVP by day, Storyteller by night
Appleton, Wisconsin, United States
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Currently a Microsoft Data Platform MVP, Jared has been a data engineering consultant for over a decade, implementing Microsoft products. For more than three decades, he has been honing his skills in theater and other performing arts. As a speaker, Jared marries these two disciplines together, creating dynamic presentations that add entertainment to education. This symbiotic relationship can improve presentation engagement, support attendees in knowledge retention, and foster a culture of passion for the data industry.
As a speaker, Jared has spoken at events such as:
-FabCon Vegas and Atlanta
-DataCon Seattle (Microsoft Data Conference)
-PASS Summit
-SQL Saturdays, Multiple
-Microsoft Fabric Global Online Conference
-Future Data Driven Summit
-GroupBy Conference
-and more!
He also runs the YouTube channel DataBard, focused on making Data fun and teaching techniques along the way.
Technically-speaking, Jared has multiple Microsoft certifications in both on-prem and cloud technologies. He has extensive knowledge in:
-Microsoft Fabric
-SQL Query Development and Performance tuning
-Kimball Data Modeling
-ETL design patterns
-Azure SQL DB and Azure SQL MI
In his spare time, he continues to perform in community theater productions, as well as musically for his church. Upon request, he would be happy to assist with more theatrical portions of events, such as performing musical numbers.
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Building a Data Culture
Data is a core part of our lives that influences all parts of business, from how we implement technology, to our establishment of business processes, all the way to individuals themselves. We solve tech and business process problems every day, but do we solve people problems?
How are people problems solved? With company culture. And culture can make or break data projects as easily as tech and process problems.
In this session, we'll talk about a company culture's influence on their ability to be data driven. We will identify common pitfalls that can influence how well your organization will be able to use data. We will also identify ways you can identify, and even measure, the data culture in your organization.
Establishing T-SQL Formatting Standards
Ever been asked to update a SQL query for performance or business reasons, only to spend two days just trying to read what you were sent?
The blessing and curse of the SQL language is that it offers flexibility in formatting, and coding standards for the language are loosely defined. So how do we prevent the above scenario from occurring?
In this session, I'll showcase how to define formatting standards that not only make SQL SELECT queries easier to read, but also provide functional benefits when modifying queries. Finally, I'll tools that can help implement coding standards in SQL.
ETL Approaches When Using Fabric PySpark
Designing ETL architectures involves choosing between the use of various forms of code-first, low-code, and no-code options for data processing. So what can ETL processes look like in Fabric when focusing on PySpark?
In this session, I'll showcase what ETL can look like in PySpark. I'll showcase libraries that can assist with the ETL process, as well as demonstrate how Fabric performs with different approaches to dataframe and Delta table usage. By the end of this session, you should understand how PySpark can help your ETL work, whether using it exclusively or with other Fabric features.
Microsoft Fabric: Lessons from Year 1
As of November 2023, Microsoft made the announcement that Microsoft Fabric was Generally Available. In the time since, many organizations jumped into the exciting world of this emerging technology.
Any fabric, technical or not, needs to be well maintained to retain its initial quality and usefulness. In the same way, your approach to implementing Microsoft Fabric could either set yourself up for a successful, long-term implementation, or one that needs a rebuild in 1-2 years.
In this session, I'll walk through features of Fabric that have lived up to the hyped labels and work as prescribed. I'll also provide demos challenges I've faced with the product and how I've worked through them. Finally, I'll recommend routine activities that should be performed on any Fabric environment to keep it nice and clean.
(If this wasn't enough Fabric references and you need more, check out this session for even more puns!)
SSMS GitHub Copilot! A New Tool for your Database Development
With the release of SSMS 22, we have one additional capability - SSMS Github Copilot, an AI extension that can see and interact with your database. In this session, we'll demonstrate its capabilities in real-life use cases, from database administration to development. At the end of this session, you will understand how this solution can improve the efficiency of data professionals.
T-SQL in Microsoft Fabric: Why isn't it Always the Same?
Microsoft Fabric offers multiple options for storing and working with data in a relational manner, but not every T-SQL statement will run everywhere. You may write a query only to discover it’s "not supported" — even though the same syntax works in SQL Server or other databases. Why does this happen?
The answer lies in the concept of SQL surface area, which is the specific set of SQL language capabilities supported by a data platform. In this session, we’ll define what surface area means in practice, then explore the architecture of Fabric's various relational data storage engines to understand what T-SQL works where and why.
By the end of the session, you’ll know how to:
-Define the architectures of Fabric items that support T-SQL queries
-Identify where certain SQL keywords and features are supported (and where they aren’t)
-Understand the technical reasons behind those limitations
-Make informed design and development choices to maximize the power of T-SQL across Fabric
SQL Fundamentals for Data Analysts
From early database management systems to modern data platforms like Microsoft Fabric, SQL has withstood the test of time. This language can be powerful in its navigation of data relationships, calculation of detailed or aggregate values, or adjustments of records stored in tables. All of these capabilities are fundamental skills for data analysts, regardless of whether you are performing ad-hoc analysis or preparing data for a report.
This introductory session is for those who haven't taken a database course and would like to learn practical SQL querying. Join this workshop to learn SQL from the ground up, starting with the SELECT statement and its primary clauses, moving up to JOINs and functions, and more tools to aid you in your data analysis.
Intro to PySpark in Microsoft Fabric
With all of the engineering features in Microsoft Fabric, which medium should you use to move and transform data? Low-code data flows and pipelines? Good old relational SQL? What about this newfangled PySpark everyone is buzzing about?
If the last option piques your curiosity and you haven't tried it, this is the session for you. I'll cover basic Python principles that will make even complicated Python easy to read. Then I will explain important topics to understand when managing your Spark environment. Finally, I'll showcase Fabric features and community content that can support your next steps in learning to implement PySpark in Fabric.
SQL Saturday Atlanta 2026 - AI & BI Sessionize Event
FABCON 2026 & SQLCON 2026 - SESSIONS Sessionize Event
Data Saturday Chicago 2026 Sessionize Event
Data Toboggan - Winter Edition 2026 Sessionize Event
Cloud Data Driven User Group - 2026 Virtual Sessions User group Sessionize Event
TechCon 365 Dallas - A Microsoft 365 & Power Platform Conference Sessionize Event
SQLSaturday - Minnesota 2025 Sessionize Event
Future Data Driven Summit 2025 Sessionize Event
DATACON Seattle 2025 Sessionize Event
Triangle Area SQL Server User Group (TriPASS) 2025 User group Sessionize Event
Microsoft Fabric Cafe 2025 User group Sessionize Event
Microsoft Fabric Global Online Conference - North American Edition Sessionize Event
Microsoft Fabric Community Conference Sessionize Event
#DataWeekender 7.0 Sessionize Event
Data Toboggan - Winter Edition 2025 Sessionize Event
GroupBy 2024 Sessionize Event
SQLSaturday - Minnesota 2024 Sessionize Event
Future Data Driven Summit 2024 Sessionize Event
Microsoft Fabric Global Online Conference Sessionize Event
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