22-25 April 2026 
Thomas Hütter
Thomas holds a degree in Business Economics, but has been a data explorer and a developer at heart ever since the days of dBase and Turbo Pascal. He touched his first SQL Server at V6.5, used covering indexes before they became a feature and joined the PASS community in 2006.
Thomas has been developing in Navision/Dynamics/Business Central systems for quite some time (since 2001, one year before MS acquired Navision), got his hands on R in 2014 (the year before MS bought Revolution Analytics), on the Power Platform from 2020 and the Arduino world from 2024 on. He has worked for ISVs as well as end-user companies, as a developer, consultant, accidental data engineer and is an author for data-related articles as well as a speaker at data events across Europe.
Thomas Hütter's Sessions
Hunting for fraud with Benford's law in RSQLBits 2022
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.
A journey through the TidyverseSQLBits 2020
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
An R primer for SQL folksSQLBits 2019
A walk-through on what is possible analyzing your data with the "R" language.
50 ways to show your dataSQLBits 2018
„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.
Window functions in SQL Server - brush up your skillsSQLBits 2026
Wether you're a newbie or a seasoned developer, now is the time to brush up your window function skills. Get to know this "advanced" toolset in order to ease and optimize the development of your data analysis queries in T-SQL.
A refresher on geospatial data in SQL ServerSQLBits 2022
A refresher on using geospatial data in SQL Server: data types, ingesting, visualizing, built-in functions. And we'll even get to use some shape files in there!
Hunting for fraud with Benford's law in RSQLBits 2022
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.
Poor folks' SQL Server job monitoring with RSQLBits 2022
A mini project combining T-SQL and R to develop a dashboard-like overview of your SQL agent jobs' and the trends of their durations.
What are statistics and why should the developer care?SQLBits 2022
A quick dive into how queries get analyzed and optimized by the SQL Server engine. You'll learn about statistics, density and cardinality, why they are important, and the techniques to keep them up to date, to achieve optimal query plans.
So, what about JSON in my database?SQLBits 2022
A primer on how to handle JSON data using SQL Server's built-in functions, plus a comparison with CosmosDB and MongoDB.
A journey through the TidyverseSQLBits 2020
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
An R primer for SQL folksSQLBits 2019
A walk-through on what is possible analyzing your data with the "R" language.
50 ways to show your dataSQLBits 2018
„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.