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Conferences / DataTune

DataTune 2026

Mar 6–7, 2026 · Belmont University, Nashville, TN, United States

Conference
DataTune Database
Dates
Mar 6, 2026 – Mar 7, 2026
Venue
Belmont University
Place
Nashville, TN, United States
Format
In person
Status
Past
Attendance
400
DataTune 2027 Sessionize page and home page: 2026 had '400+ attendees', 200+ companies represented, 400+ CFP submissions (MotherDuck's listing said ~500 expected).
Website
datatuneconf.com
Recorded
20 sponsors · 79 speaker appearances
Notes
Friday Mar 6 workshops (7), Saturday Mar 7 conference (58 sessions in Career Growth, Data Analytics, Data Engineering and GenAI/Data Science tracks). Sessions, workshops and speakers from the official 2026 retrospective page; affiliations from the speaker cards there where a company is named. Facilitated by TechFed Nashville; host sponsor Belmont Data and AI Collaborative. Price: home page advertised 'Single Day Starting at $100'.

Ticket prices

TicketPriceValid untilNotesSource
Single day (starting price)$100—Home page: 'Single Day Starting at $100'web.archive.org

Sponsors 20

Speakers and talks 79

SpeakerCompanyRoleTalkLinks
Aaron Cutshall—TalkNavigating the Database Landscape in 2026: The Fight for Control—
Aaron Cutshall—TalkAn Enterprise Data Architecture Framework—
Aaron Wilkerson—TalkWhat No One Told You About Advancing Your Data Career—
Alex NoonanDagster LabsTalkBuilding a Better Data Engineering Feedback Loop—
Allison BakerDatabricksTalkTransforming Business with Databricks: Real-World Customer Success Stories and AI Innovations—
Amy KauppilaInfoWorks, Inc.TalkFrom Avoidance to Advantage: The Power of Embracing What you Dread—
Armelle LE GUELTEXsolisTalkStructured Meets Generative: The Future of Reliable AI in Healthcare.—
Barkha Herman—TalkIceberg Ahead: Navigating the Future of Data Lakes Without Sinking—
Ben MillerDBAduckTalkBuilding a SQL Server Recovery Strategy—
Brian Dill—TalkDuckDB 101 - zero to 500 million in less than a second—
Bryce Embry—TalkHow To Work With Brilliant People—
Byron McClainRōnin ConsultingTalkThe Autonomous Coding Agent: Running AI Coding Agents—
Cassandra Cardases—TalkDeath by Delivery: How Ineffective Storytelling Is Killing Your Deliverables—
Cecilia BrusatoriMagna DataTalkPower BI, Microsoft Fabric, or Both? Building Analytics Solutions—
Cecilia BrusatoriMagna DataWorkshopFrom Zero to SQL: A Hands-On Query Writing 1-day Workshop—
Cedric ClyburnRed HatTalkStructuring the Unstructured: Advanced Document Parsing for AI Workflows—
Charlie ApigianData InspireWorkshopMastering AI Strategy and Agentic Workflows—
Chris Carter—TalkHas AI Actually F@ed With Your Mind? The Truth About AI, Your Job, and the Future of Work—
Chris GambillGambill DataWorkshopModernizing Your Databricks Engineering: Using Lakeflow & Declarative Pipelines—
Chris GambillGambill DataTalkAdapt or Be Automated: Continuous Learning in the Age of AI and Data Engineering—
Chris HydeHydrate Technologies LLCTalkMicrosoft Fabric: Ask the Experts—
Chris HydeHydrate Technologies LLCWorkshopModern Data Warehousing with Microsoft Fabric: Patterns, Practices, and Pitfalls—
Christian Trujillo—TalkDriving Value with Red Hat OpenShift AI—
CL KaoRecceTalkA Practical Playbook for Building Data Agents (That Don't Break Your Pipeline)—
Clay Chaffins—TalkFrom Raw Data to AI-Powered Insights: An End-to-End Journey with Snowflake—
Dan RothOracleTalkReasoning and Retrieving LLMs: Myths, Merits, and How to Move Forward—
Darwin FuHCA HealthcareTalkUnscripted Data: Improvising your Data Story—
Derek Reader—TalkDriving Value with Red Hat OpenShift AI—
DHA—TalkNavigating the Database Landscape in 2026: The Fight for Control—
DHA—TalkAn Enterprise Data Architecture Framework—
Dustin DorseyphDataTalkModernizing Data Transformations with dbt—
Elizabeth WadeAnkuraTalkUnlocking Data Simplicity: Empowering Business & IT with Sigma—
Emma Supica—TalkUnscripted Data: Improvising your Data Story—
Erik Darling—TalkFor a Few Rows More: Mastering Row Goals in SQL Server—
Erik Darling—WorkshopAdvanced T-SQL Triage: The Art of Fixing Terrible Code—
Gilma Adunas-RivasTennCareTalkPredictive Analytics for a Healthier Tomorrow: Forecasting Hospital Readmissions using Claims Data—
Hasan SavranProgressive Insurance CompanyTalkData modeling strategies in NoSQL databases—
Jacob MatsonMotherDuckTalkClone, Code, Ship: Multiplying Your Data Engineering Throughput with MotherDuck and AI—
Jason King—TalkThe Clockwork Annotator: Labeling with Foundational Models—
Jason Romans—TalkThe Data Professional's Power Toolkit: Free Tools to Supercharge Your Workflow—
John KerskiClient First TechnologiesTalkDataOps 101 – A Better Way to Develop and Deliver Data Analytics—
Jonathan StewartAimpoint DigitalTalkBuilding Scalable Data Warehouses with Microsoft Fabric:—
Jonathan Wihl—TalkBuilding Right-Time Data Pipelines for AI—
Joshua Higginbotham—TalkUnlocking the Power of Data Agents and Copilot in Microsoft Fabric—
Jurnell CockhrenCivic Hacker, LLCTalkAI in Action: How Higher Ed and Agentic AI Are Shaping Tomorrow’s Workforce—
Kevin BradleyApex SystemsTalkFive ways to structure data for Tableau, and one that got me yelled at by a DBA—
Kevin FeaselCatallaxy Services, LLCTalkImplementing Multivariate Anomaly Detection in Python—
Kiersten Stokes—TalkBuilding an Open Data Lakehouse with Presto and Apache Iceberg—
Kristyna FerrisP3 AdaptiveTalkNavigating the Database Landscape in 2026: The Fight for Control—
Kristyna FerrisP3 AdaptiveWorkshopModern Data Warehousing with Microsoft Fabric: Patterns, Practices, and Pitfalls—
Kristyna FerrisP3 AdaptiveTalkMicrosoft Fabric: Ask the Experts—
Kunal MarwahDatabricksTalkTransforming Business with Databricks: Real-World Customer Success Stories and AI Innovations—
Lawrence Lockhart—TalkIt's FIne to Start with Vibes: Just Don't End There! How to go from CLI to Prod—
Legare KerrisonRed HatTalkStructuring the Unstructured: Advanced Document Parsing for AI Workflows—
Lena WinfreeR+W Data Analytics ConsultingTalkAI in Action: How Higher Ed and Agentic AI Are Shaping Tomorrow’s Workforce—
Louis Davidson—TalkSharing is Caring and Writing is Sharing—
Louise Domeisen—TalkNavigating the Database Landscape in 2026: The Fight for Control—
Matthew HousleyHalfpipe SystemsTalkThoughts on the Future of Data—
Matthew HousleyHalfpipe SystemsWorkshopTechniques in Data Engineering for AI—
Michael Hewitt—TalkDemystifying DAX: An Introduction to Data Analysis eXpressions—
MSHI—TalkNavigating the Database Landscape in 2026: The Fight for Control—
MSHI—TalkAn Enterprise Data Architecture Framework—
Ram Singh—TalkNot Your Models, Not Your Data? Private Local AI for the Cautious Data Practitioner—
Richard HoehnAertonTalkReward-Driven Decision Making: Using Reinforcement Learning (RL) to Optimize Routes—
Roger FriedSnowflakeTalkFrom Hallucination to Trust: Grounding Enterprise LLMs with the Semantic Layer—
Sarah PetersGeorgetown UniversityTalkFrom Concert Hall to Code Review, Symphony to Software—
Scott Haines—TalkFrom Streaming Anxiety to Streaming Confidence: Hands-On with Spark Structured Streaming—
Sekou Tyler—TalkBeyond Requirements: Building Trust Between BI Developers and Stakeholders—
Shantanu SethAxtriaTalkMulti-Touch Attribution for Pharma: Designing Robust Models That Drive Marketing ROI—
Simon WardTranquility AITalkTargeted Behavior Removal in Large Language Models with Abliteration—
Sireesha PulipatiShopifyTalkModern Data Engineering on BigQuery: From Pipelines to Intelligence—
Stephen SciortinoDatabase TycoonTalkThe (More) Modern Data Stack: Building Analytics with Open Source Tools—
Tessa Burg—TalkFrom Insights to Impact: Rewiring How Data Teams Lead Innovation That Drives Growth—
Tim Wilsonfacts & feelingsWorkshopStop Shipping Dashboards. Start Driving Outcomes.—
Tim Wilsonfacts & feelingsTalkEffective Data Visualization: Neuroscience-Based Techniques—
Tyler SandersRed Oak StrategicTalkDashboards, Data Lakes, and Data-Driven Decision Making—
Valerie Krollfacts & feelingsTalkThe Analyst’s Most Valuable Data: Human Ideas—
Valerie Krollfacts & feelingsWorkshopStop Shipping Dashboards. Start Driving Outcomes.—
Yorgos AskalidisSpotifyTalkShaping Insight in an Age of Abundance: Data Science Beyond the Tools—

Sources