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Conferences / SQLSaturday

SQLSaturday Boston #1119

Sep 27, 2025 · Microsoft Technology Center, Burlington, MA, United States

Conference
SQLSaturday Database
Dates
Sep 27, 2025
Venue
Microsoft Technology Center
Place
Burlington, MA, United States
Format
In person
Status
Past
Attendance
—
Capacity listed as 300; no actual count found.
Website
sqlsaturday.com
Recorded
8 sponsors · 40 speaker appearances
Notes
Official name: SQL Saturday Boston 2025. Sessions and speakers from the event's Sessionize schedule (40 sessions, including any pre-con/workshop sessions listed there); affiliation taken from each speaker's Sessionize tagline where it names an organization, else null. Sponsors and tiers from the event page (logos only; names inferred from logo link/file).

Ticket prices

TicketPriceValid untilNotesSource
General admission$0—Event page describes the event as free.sqlsaturday.com

Sponsors 8

Platinum 1

Gold 4

Silver 2

Bronze 1

Speakers and talks 40

SpeakerCompanyRoleTalkLinks
Adrian Mee——SQL Server Management Studio - Beyond the basics—
Alex BolenokCentralReach—The Elephant in the Room. The culture shock of moving from SQL Server to Postgres. DBA Edition—
Allan HirtMicrosoft—A Modern Approach to Patching, Upgrades, and Technical Debt—
Alvaro Costa-Neto——SQL Server Hosting on AWS: Options and Considerations—
Andy Yun——A Practical Introduction to Vector Search in SQL Server 2025—
Brent Ozar——The Ascending Key Problem—
Brian TobiaTessell—Breaking Free From Cloud Managed SQL Server- Take Back Control and Lower Costs—
Christian CoteIA-Tech Consulting—Automating Microsoft Fabric Deployments with Azure DevOps—
David BerminghamSIOS Technology—Cloud HA/DR Without Breaking the Bank (SIOS)—
David BerminghamSIOS Technology—SQL Server HA and DR in Azure IaaS—
Deborah Melkin——Conquering the Monster Proc - How to Combat Legacy Code—
Deborah Melkin——Women in Tech (WIT) Panel—
Edward Pollack——Quality AI Requires Quality Data—
Edward Pollack——Improving Analytics Performance With Columnstore Indexes—
George Walters——Modernize your old database-heavy application to cloud architecture!—
George Walters——SQL Server 2025: an enterprise AI-ready database platform (Microsoft|AMD)—
Gregory KinneWalmart—High Quality T-SQL Deployments (CI/CD)—
Haripriya Naidu——Maximize SQL Server Performance with Read Committed Snapshot Isolation—
Jared RhodesEPAM—Fabric & AIO: Unified Device Data—
Jean JosephMicrosoft—Introduction to Microsoft Copilot Studio: Empowering AI Agents 🤖—
Jeff Taylor——How To Tune A Multi-Terabyte Database For Optimum Performance—
John KerskiClient First Technologies—Leveraging Large Language Models with Power BI—
John MinerInsight—Data Engineering with Microsoft Fabric—
Joshua Higginbotham——Unlocking the Power of Data Agents and Copilot in Microsoft Fabric—
Kevin Casey——Breaking Free from On-Premises: Real-World SQL Orchestration Migration Challenges and JAMS Solutions—
Kevin FeaselCatallaxy Services, LLC—Getting Started with DuckDB—
Kevin Kline——SQL Server Internals & Architecture - 2025—
Kevin Kline——Four Habits of Highly Successful Database and Admin Teams (SolarWinds)—
Lee Markum——Leveraging Query Store for Improved Performance—
Matt GordonApps Associates—Azure-ish SQL and Azure AI 101—
Paresh Motiwala——Unlocking Data Insights with Kusto Query Language (KQL)—
Rick LoweData FLowe Solutions LLC—Query Hints ... What’s the Worst That Can Happen—
Steve Jones——Running a Local GenAI Model on your Laptop—
Steve Jones——Using Data API Builder to Speed Up Application Development—
Sunil Kadimdiwan——Leveraging Microsoft Power Platform: Techniques for Integrated Low-Code Development—
Surbhi PokharnaCharles River Development—Cloud Cost Optimization in Azure: Smart Strategies with Snowflake, SQL Server, Azure SQL Hyperscale—
Talles ValiattiAzure Brasil—Azure AI Search Service + Azure AI Agent Service: Building AI Agents with Intelligent Search—
Tony DiPesaWellesley College—Data API Builder - What Is It and What Can It Do for Me?—
Tracey KrollPTC—ChatGPT said what?!?—
Yashasvi Singh——Scaling AI Responsibly: Why Data Governance is the First Step to Sustainable AI Adoption—

Sources