Call for Speakers
in 2 months
Day of Data Orlando 2026
event date
17 Oct 2026
location
Seminole State College Sanford, Florida, United States
website
dayofdata.org/
The 19th Day of Data Orlando (formally SQLSaturday) will be held at our usual location at Seminole State College.
We will notify all who submitted sessions of the final schedule by August 17th, 2026.
open, 3 days left
Call for Speakers
Call opens at 12:01 AM
01 Jul 2026
Call closes at 11:59 PM
10 Aug 2026
Call closes in Eastern Daylight Time (UTC-04:00) timezone.
Closing time in your timezone () is .
Bring your expertise to the stage at Orlando’s 19th Day of Data and help inspire a community of data professionals, technologists, and students by submitting a one-hour session on all things data and AI, including SQL Server, Power BI, Fabric, cloud platforms, Snowflake, Databricks, analytics, BI, data science, machine learning, professional development, and more.
- Sessions should be one hour, which should include five to ten minutes for Q&A.
- We have about 30 session slots this year.
- Speakers will be notified if their session has been accepted and event schedule published no later than August 24th.
- If you have one or more sessions accepted, we will email you a discount code to pay for lunch when you register as an attendee on Eventbrite.
all submitted sessions
publicly listed on this page
event fee
free for speakers
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96 submissions
Submitted sessions
Illyasha Peete
- The Leadership Advantage in the Age of AI
- Detecting Financial Crime with PySpark: Building Custom Detection Logic at Scale
- Orchestrating Complex Data Pipelines with Airflow, Step Functions, and Jenkins
- From NICE Actimize to AWS-Native: Modernizing Financial Crime Detection in the Cloud
- "From Data to Story: Making Your Technical Expertise Impossible to Ignore"
- Now You Have Two Problems: Regular Expressions in SQL Server 2025
- Getting Started with DuckDB
- Eyes on the Prize: Simple and Effective Dashboard Visualization Techniques
- Auditable by a Stranger: A $386 Million Federally Audited Portfolio Taught Me About Governing AI
- The EU AI Act Is Already Your Problem: What US Data Teams Have to Be Able to Produce
- Working with Power Bi in an AI driven world.
- MS Foundry and your data
- Eight ways to ingest data in MS Fabric
- No backup, no problem. MS Fabric data recovery
- CI/CD for SQL Database in Fabric using Azure DevOps
- Building a Data Quality Framework in Fabric with Great Expectations
- SQL in the Fabric Era: Translate existing skills into the modern data platform
- From Data Engineering to Agentic AI: Building Autonomous Lakehouse Platforms
- From Data Silos to Decision Intelligence: Building an Enterprise Analytics Architecture for Higher E
- The SQL Behind Modern Data Warehouses: Designing Scalable Analytics Solutions
- Beyond ETL: Building Analytics-Ready Data Platforms with Kimball Dimensional Modeling
Leonard Lobel
- Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB
- What's New for Developers in SQL Server 2025
- Creating REST, GraphQL, and AI Database Endpoints with Data API Builder
- AI-Powered Jira Ticket Triage
- RAG Without Leaving Snowflake
- THE MYSTERY OF THE MIDNIGHT WAREHOUSE SPIKE
- Europe Fabcon and SQLCon in review
- Azure SQL Hyperscale: The Cloud Database for the era of AI
- The Anti-Outsourcing Playbook
- Three Waves, One Stack: Hadoop to Lake house to AI-Ready Data Platforms
- Lakehouse Architecture: Compliant, Real-Time Analytics for Regulated Industries
- Beyond Model Accuracy: Designing a Risk-Aware LLM Agent with Confidence Gating and Human Escalation
- The Data Analyst Launchpad: Zero to Microsoft Power BI Analyst PL-300 Certified
- From Data Silos to Intelligent Apps: A Microsoft Fabric Success Story
- The Data Professional's Power Toolkit: Free Tools to Supercharge Your Workflow
- DuckDB 101: From Desktop to Notebook
- Fabric 101: Your Park Map to Microsoft Fabric
- SQL ❤️ Software Developers
- SQL ❤️ AI Agents
- Introducing the SQL MCP Server
- A HI (Human Intelligence) Technique to Manage Missing Index Hints
- Designing Cloud-Native Applications for Performance, Scalability, and Reliability
- Uncertainty Aware Hybrid AI Forecasting for Inventory Optimization and Financial Risk
- The New Rules of Partitioning and Indexing in Cloud-Native Databases
- Migrating the Enterprise Data Warehouse: Lessons from the Trenches at a Global Bank
- AI and Data Protection in Today's World: Data Democratization and AI Security in Microsoft
- Detecting the Unusual: Behavioral Analytics for Modern Data Security
- The Friction Was Doing the Job: Redesigning Accountability for the AI-Speed Organization
- Maximizing SSMS for Developers and DBAs
- From Documents to Decisions: Building Reliable Multi-Agent AI Systems for Enterprise Knowledge
- Beyond Traditional DBA Practices - Transforming T-SQL Script Expertise into AI Agents
- Autonomous Database Operations using Agentic AI for SQL Server
- Repack In Core
- I Didn't Know Postgres Could Do That!
- Compliance-Aware Streaming Architectures for Distributed AI and Cloud Systems
- Real-Time Privacy-Preserving AI Infrastructure Using Distributed k-Anonymity Enforcement
- From Enterprise Applications to AI-Native Systems: Lessons from Building AI in Production
- From Data Chaos to AI-Ready: Building a Unified Data Foundation for the Agentic Enterprise
- Building Lakehouse for AI-Readiness: Building Trusted Data Platforms for the AI Era
- Level Up Your Power BI Data Viz: Features & Gems You Need to Know
- Empowering Everyone: Data Modeling in Power BI for Business Users
- From Signal to Action: Building AI-Powered Fleet Operations with Microsoft Fabric Real-Time Intellig
- Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights
- Postgres in the Lakehouse: Building Apps with Databricks Lakebase
- How Do You Test a System With No Right Answer?"
- The Human Side of AI: Why Soft Skills Matter More Than Ever Track: AI & Professional Development
- Delta at Scale: Change Data Capture Patterns for SQL Server, Fabric, and the Modern Lakehouse
- AI in Your Career: Sidekick, Hero, or Villain?
- Watch Brent Tune a Query in SQL Server 2025
- 20 Years of the Cloud: What Changed, What Didn’t, and What’s Next
- My T-SQL Tricks
- Learning to present and becoming good at it
- Deciphering Data Architectures (Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh)
- Using Generative AI on Structured Data (to query or modify data)
- Self-Improving Agents on a Budget: Create Day-to-Day Automations with Hermes and Open-Source Models
- Creating a Personal Brand for Career Success
- "Iceberg Ahead: Navigating the Future of Data Lakes Without Sinking"
- Revenge: The SQL!
- Log Shipping for SQL Server
- DeepSQL: How To Discover SQL Server Internals
- From Batch to Streaming: Designing Real-Time Data Pipelines for Personalization
- From Telemetry to Recovery: Building Self-Healing Cloud Systems with Multi-Agent AI
- Beyond the Medallion: Rethinking Data Architecture for the Agentic Era
- Building Enterprise Analytics Platforms with Cloud-Native Lakehouse Architectures
- Agentic BI: How Fabric Data Agents Bring Plain-English Querying to the Modern Lakehouse
- Unlock the Power of AI Agents: Building High-Performance MCP Servers with .NET
- Beyond the Vibe Check: Engineering Principles for Enterprise AI Correctness
- From Data to Impact: How Data Teams can evolve in the AI era
- The AI Decision Map: How to choose the right AI Projects to better your odds of AI Success
- Fork in the Road: Why AI Success Depends on Three Human Choices
- Scaling Enterprise RAG with Structure-Aware Retrieval
- Event-Driven Autoscaling with KEDA and Karpenter on Amazon EKS
- How To Tune A Multi-Terabyte Database For Optimum Performance
- Fabric SQL Database: Simplifying OLTP and Real-Time Analytics
- Auto Index Compaction - SQL Server