Call for Speakers

SQL Saturday - Austin 2026

Call for Speakers is closed. Submissions are no longer possible. Sorry.
in 19 days

SQL Saturday - Austin 2026

event starts

26 Jun 2026

event ends

27 Jun 2026

location

Microsoft Office - 10900 Stonelake Blvd, Suite 225, Austin, TX 78759-6028. Austin, Texas, United States


Join us and speak at SQL Saturday Austin on June 26 and 27th,  2026

We are looking for speakers for 1-hour sessions and one all-day workshop. 

This is a LIVE and In-Person event at the Microsoft office in Austin, Texas.

finished 5 days ago
Call for Speakers
Call opens at 12:00 AM

14 May 2026

Call closes at 11:59 PM

01 Jun 2026

Call closes in Central Daylight Time (UTC-05:00) timezone.
Closing time in your timezone () is .

Hello Speakers,

This is an in-person event. If you have any questions, please email John at John @ProcureSQL.com.

Code of Conduct: https://sqlsaturday.com/coc/

Please submit your session(s) only if you are available to present the session in person in Austin, TX, on Saturday, June 27th, 2025, and agree to the code of conduct mentioned in the above link.

Please submit sessions focused on Microsoft Data Platform, as this is an SQL Saturday. Sessions can be on PowerBI, Fabric, Data Warehousing, SQL Server, Performance Tuning, Data movement, data visualization, data modeling, cloud data analytics, or anything related to SQL Server.

Regular sessions on Saturday are 60 minutes, including delivery and demos (if any). The all-day workshop will be on Friday, June 26th 2025. It would run from 9:30 a.m. to 5 p.m., with an hour-long lunch break. Please submit the workshop session abstracts before May 28th, 2026 so we can select and start marketing your workshop before the regular call for speakers is closed.

Please include the session title, complete description of the session, level (100, 200, 300, 400, 500), Target Audience, speaker name(s), speaker bio(s)



all submitted sessions

publicly listed on this page

event fee

free for speakers
58 submissions
Submitted sessions
Conor Cunningham
  • Getting Started: What is a Database and How Do I Use One?
  • Hardware-Accelerated Analytics Queries Explained
John Sterrett
  • Querying Your Data: A Beginner's 60-Minute SQL Bootcamp
  • Advanced Data Protection Strategies with Azure SQL
Bob Ward
  • Microsoft SQL and AMD in the Era of AI
Mike Byrd
  • A HI (Human Intelligence) Technique to Manage Missing Index Hints
Jesse Wang, Stephen Atwell
  • Database DevOps: CD for Stateful Applications
Sammy Cheung
  • Your Next Step Beyond SQL: Certifications, Community, and Career Growth
Arun Mallur Chandrashekar
  • Scaling Web Data Extraction: AI-Powered Market Intelligence at Scale
  • Building Enterprise AI Copilots: RAG, Architecture, and Operational Impact
Chris Hyde
  • Demystifying Microsoft Fabric: Architecture and Organization 101
  • A Gentle (Re-) Introduction to Dimensional Modeling
Rick Lowe
  • Why Should I Care About ... The Plan Cache
  • PostgreSQL High Availability for the Career SQL Server DBA
Minesh Chande
  • Whats New in Amazon RDS for SQL Server
  • HA/DR options on Amazon RDS and RDS Custom for SQL Server
  • T-SQL to PostgreSQL Leveraging Amazon Q CLI and AWS DMS SC
show all submissions
Russel Loski
  • Power BI Meets AI Agents: Getting Started with the Model Context Protocol (MCP)
Ashish Kalra
  • Early Firmware and Kernel Debugging for Cloud VM Reliability
  • Troubleshooting Performance Bottlenecks in AMD SEV-SNP Virtual Machines
Naveen Kumar Puppala
  • From Naive RAG to Production: Six Failure Modes and How to Fix Them
Ravi Kiran Pagidi, Krishna Tirupati
  • From Synapse SQL Pool to Microsoft Fabric Lakehouse: Lessons, Benchmarks, and Real-World Migration
Ginger Grant
  • Implementing Medallion Architecture in Fabric
  • Enabling AI in your Data Practice
  • T‑SQL Notebooks in Microsoft Fabric
  • Accelerating Data Stack Development with MCP Servers
Mou Rakshit
  • AI-Powered Compliance Intelligence with Microsoft Fabric and Azure AI
  • Building an AI Ready Finance Lakehouse: dbt Models, Governed Metrics, and Agentic Operations on Data
  • From Data to Decisions: Building Agentic Construction Intel using Azure Databricks Agent Bricks
  • AI-Powered Real-Time Intelligence: Transforming Data-Driven Decisions with Microsoft Fabric & GenAI
Ravi Teja Reddy Mandala
  • Building Trustworthy AI Systems from Data Engineering to Production Reliability
Chetan Nandikanti
  • Autonomous Database Operations using Agentic AI for SQL Server
Ajay Averineni
  • AI Powered Real Time Anomaly Detection for Telecom Network and SQL Data Platforms
Kevin Feasel
  • Now You Have Two Problems: Regular Expressions in SQL Server 2025
  • Teaching Old Dogs New Tricks: Revitalizing a SQL Server Code Base One Version at a Time
  • APPLY Yourself
  • Data Virtualization in SQL Server
Kevin Pereira
  • SQL in the Fabric Era: Translate existing skills into the modern data platform
Ryan Adams
  • Copy Job: Data Movement Made Simple
  • Move to Fabric Data Factory
Andrew Madson
  • Iceberg for Agents - Elevate Data to Context For Modern AI Systems
Sampath Kumar Mucherla
  • Explainable AI for Supply Chain Delay Prediction — From Black Box to Business Trust
Alekh Jindal
  • Building the Context Graph for SQL Server
Jonathan Stewart
  • Autonomous Power BI Governance with Microsoft's Modeling MCP
  • Ethical Data Storytelling: When AI Makes the Chart, Who Owns the Bias?
  • Stop Borrowing Contoso: Build Realistic Demo Data for Power BI
  • Building Scalable Data Warehouses with Microsoft Fabric:
Bob Ward
  • Azure SQL Hyperscale: The Cloud Database for the era of AI
Gilberto Hernandez
  • From Iceberg to Intelligence: Your First Lakehouse Data Pipeline For AI Agents
David McCarter
  • Unleash Your Inner Rockstar: The 5 Steps to Dynamic Public Speaking!
  • Röck Yoür Cäreer: Time-Tested Wisdom from a 30-Year Software Engineering Veteran
  • Röck Yoür Cäreer: How to Work with Recruiters to Actually Get Interviews
Paresh Motiwala
  • The 48 Laws of Power: Essential Lessons for Techhies
  • Getting and Nailing AI Interviews
  • PostGres: The Elephant in the Room You Can't Ignore
  • Guardians of the Data Galaxy: Securing SQL Server the Right Way
Kevin Arnold
  • Introduction to Microsoft Fabric Variable Library: Simplifying CI/CD Automation
  • Next-Level BI Development: AI-Driven Semantic Models in Power BI