Data Saturday Chicago is a community event for anyone interested in the Microsoft Data Platform. This event is for the data community, by the community, and brought to you by the team who has been bringing you SQL Saturday Chicago since 2010!
finished 8 days ago
Call for Speakers
Call opens at 12:00 AM
11 Aug 2025
Call closes at 11:59 PM
04 Nov 2025
Call closes in Central Standard Time (UTC-06:00) timezone.
Closing time in your timezone () is .
all submitted sessions
publicly listed on this page
206 submissions
Submitted sessions
Ed Pearson
Simplify your ELT: Using Lakeflow and Declarative Pipelines in Databricks
Implementing Data Governance Using Unity Catalog on Databricks
Finding Your Spark: Unleashing Analytics with Python in Fabric and Databricks
Sergiy Smyrnov
Meet Azure Document DB - new OpenSource Mongo-compartible NoSQL database
Efficient and Scalable Memories with Azure Cosmos DB for your AI-Agents
Build your Apps faster with VSCode, GitHub Copilot and Azure Cosmos DB
Chris Hyde
Demystifying Microsoft Fabric: Architecture and Organization 101
Tips and Tricks for Microsoft Fabric Data Warehouse
Jason Romans
From Desktop to Notebook: Getting Started with DuckDB
Utilizing Semantic Link Labs to proactively identify issues in models and reports
Blogging: Lessons I Learned the Hard Way
Unlocking the Power of TMDL: Enhancing Power BI Development
Data on Fire: A Hands-On Intro to Spark in Fabric
Allan Hirt
What No One Tells You About Going Independent
Modern Infrastructure Fundamentals for SQL Server
A Modern Approach to Patching, Upgrades, and Technical Debt
Adrian Mee
SQL Server Management Studio - Beyond the basics
Like a Version - System Versioned Temporal Tables
Breanna Hansen
Parse Trees, Memos, Transformation Rules and Other Hidden Objects in SQL Server
Window Functions in SQL
Egor Tarasenko
AI-Powered Airflow Management: From Desktop Assistant to Embedded UI Plugin
Custom AI Functions in Redshift Using AWS Lambda & Bedrock
Why English-to-SQL Usually Fails (and How We Fixed It with dbt Context)
Streamlining Data Ingestion and Transformation with Trino + dbt
Preventing Broken Dashboards with Trino and dbt
What You Just Sent to Your Chatbot Could Delete Production: Why Observability Isn't Optional in LLM
Untangling dbt Dependencies with Knowledge Graphs and AI
Aaron Cutshall, DHA, MSHI
Leadership Essentials for Data Teams
How to Change SQL from Procedural to Set-Based
An Enterprise Data Architecture Framework
SQL Team Six: How to Build Effective Teams
Ojal Mapuskar
Power BI Copilot Demystified: From Overview to Effective Use