22-25 April 2026 
Tomaž Kaštrun
Tomaž Kaštrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed gear bikes. In 2018 he co-authored book "SQL Server 2017 Machine Learning Services with R".
Tomaž Kaštrun's Training Days
Applied Data Science with Azure Machine Learning in a daySQLBits 2023
Applied data science with Azure machine learning (AML) full-day training will deliver a thorough exploration and look into to use AML, how to build, deploy, and maintain predictive models with dedicated built-in tools, open-source frameworks and powerful Python SDK and PyTorch.
Spark for Data engineersSQLBits 2022
Spark is becoming a go-tool for many data engineers. Understading the architecture, data transformation, relational data, pipelines and orchestration will help you deliver better on-prem and cloud solution.
Enterprise analytics with SQL Server and in AzureSQLBits 2020
Focus of this one-day workshop will be building data-driven analytical solution for enterprise environment using Microsoft on-prem and in the cloud solutions.
Tomaž Kaštrun's Sessions
Common Data Science MistakesSQLBits 2024
Most common statistical and data science mistakes and traps we all try to avoid them!
Notebooks - standardized enterprise solution for better story telling.SQLBits 2022
Delivering clear business supported decision is key element for good storytelling. Notebook and formatted text and code can help your organisation tidy up reporting, daily operational tasks and also cleaner data management.
Analyzing database with XE and Query Store data using R / PySQLBits 2020
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
Common Data Science MistakesSQLBits 2020
Taken from the 20+ years of field experiences, many common statistical and data science mistakes have been detected. Session will tackle couple of them.
Common Data Science MistakesSQLBits 2024
Most common statistical and data science mistakes and traps we all try to avoid them!
Addressing climate change with help of Machine learningSQLBits 2022
Climate change is a fact, it is happening, and we need not only actively participate in tackling it, but also we need to raise awareness. Addressing this issue can be done using machine learning and different approaches understanding it and predicting it. We will look into climate change modelling, efficient sensing, biodiversitz with the help of Machine Learning and Microsoft Azure.
Applied analytics with Azure Databricks using Databricks SQL and Databricks machine learningSQLBits 2022
Lakehouse architecture simplifies the use of big data. With Databricks SQL, data analytics over many different data sources can be simplifies and make easy.
Azure Machine Learning Service with PythonSQLBits 2022
Azure Machine Learning service is Azure based service with provided on-prem Python SDK, that combines both worlds, cloud and on-prem, and brings data scientists ability to quickly prepare data, train and deploy machine learning models and consume the predictions.
Notebooks - standardized enterprise solution for better story telling.SQLBits 2022
Delivering clear business supported decision is key element for good storytelling. Notebook and formatted text and code can help your organisation tidy up reporting, daily operational tasks and also cleaner data management.
Analyzing database with XE and Query Store data using R / PySQLBits 2020
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
Common Data Science MistakesSQLBits 2020
Taken from the 20+ years of field experiences, many common statistical and data science mistakes have been detected. Session will tackle couple of them.