Call for Speakers

in 6 months

dataMinds Connect 2026

event starts

12 Oct 2026

event ends

14 Oct 2026

location

Lamot Conference and Heritage Center, Van Beethovenstraat 8-10 Mechelen, Belgium


dataMinds Connect is a 3 day in-person event in the wonderful city of Mechelen, Belgium. It's an IT related event with a specific focus on the Microsoft Data Platform

While some people may still refer back to the original name of SQL Server Days, we've adopted our dataMinds Connect brand 9 years ago keeping in mind the same core values. 3 days filled with learning, networking and a whole lot of laughs while doing so! 

This year will be the 19th edition of the conference, and running for the seventh time as dataMinds Connect. Aiming to bring together all people with a passion for the Microsoft Data & AI Platform, in all flavours possible, we're hoping to reunite with our many community members, and spark flames to our common passion. Share experiences with old and familiar faces, and embrace a lot of new ones!

Go ahead and clearly mark Monday October 12th, Tuesday October 13th, and Wednesday October 14th 2026 in your schedule, as these will be 3 days you don't want to miss! You've read that right, 3 days! 

PREVIOUS EDITIONS

For those keen on reliving the memories of prior editions of dataMinds Connect, or want to get an impression of what is like, you can refer to the official after movies on YouTube for 20212022, 2023, 2024, and 2025 or a small collection of photos taken on the conference day (Tuesday) of previous editions in 2021202220232024, and 2025

open, 47 days left
Call for Speakers
Call opens at 9:00 AM

10 Mar 2026

Call closes at 11:59 PM

21 May 2026

Call closes in Romance Daylight Time (UTC+02:00) timezone.
Closing time in your timezone () is .

TALK WITH US:

When in doubt, or you do not agree with something we have put on here, reach out to the organising team for more information! We are all human beings , so there is nothing we can't have a civil conversation about. At the end of the day, this is ran by volunteers trying to bring together people with a shared passion for data. 
Seriously, talk with us.

ABOUT THIS CALL FOR SPEAKERS:

There are a number of optional fields in this Call for Speakers, any context you can provide to help us make an informed decision is greatly appreciated. You can only fill in the required ones, if you think this provides enough information. Feel free to use the notes section liberally!

CODE OF CONDUCT:

https://datamindsconnect.be/code-of-conduct/

All people involved in our event, are required to adhere to our Code of Conduct. We want this be an event where everyone should feel welcome and accepted, regardless of their background or characteristics. There will be options to confide in different persons in case of reporting incidents and violations. Any person breaching the Code of Conduct, will potentially be removed from the event, regardless of their role of engagement. 

NEW SPEAKERS:

We wholeheartedly encourage all new speakers to submit a proposal as a Newcomer. To be clear, new speakers are considered to be people who have not yet spoken at a (technical) conference or larger event. User Group sessions, webinars and client/team presentations are not taken into account for this categorization. 

Each new speaker will be paired up with a buddy/mentor, who will provide them with highly valuable tips & tricks. Even more so, we'll provide new speakers with all assistance they need and want whilst preparing for their debut.

Submitting as a new speaker, means you agree to meet with your buddy/mentor and collaborate on your session. 

P.S. We verify the validity for people that submit as new speakers, so we can make sure to keep those spots for actual new speakers. 

GENERAL SESSIONS (Tuesday October 13th, Wednesday October 14th):

Open for all sessions related to the Microsoft Data & AI Platform, in all possible flavours. Going from your more traditional DBA and BI topics, to modern data topics like Data Lakehouses, Data Virtualization or Generative AI using LLM. If it's related to the Microsoft Data & AI Platform, we want it!

Non-tech sessions, contributing to a better and more diverse community, are welcomed with open arms. Think Mental Health for IT Pros, Imposter Syndrome, Amplifying Diversity & Inclusion, Career & Personal Growth, ...

All conference sessions (held on Tuesday and Wednesday) will be 60 minutes (including at least 5 minutes of Q&A), and allocated to a room by the organising team.

PRECON SESSIONS (Full day workshop, Monday October 12th):

Proposals for precon sessions are very welcomed, but bear in mind that we're also searching for natural fits on our own initiative. It may be possible that certain slots will already be booked. 

We will be closing the Call for Precon sessions 1 weeks earlier (Thursday May 14th 2026). The session selection for the precon sessions will be shortly after, so we can inform those that selected at that point. Should you want to withdraw after this selection, that is perfectly fine.

A full day workshop precon session will be compensated by using our proposed payment scheme. A flat fee of 2.500€ (excl. VAT) is used as a default payment, regardless of the attendees that register. For every attendee following the 30th person, we'll add another 40€ (excl. VAT) to the grand total.

This compensation is per session, in the case of multiple speakers they have to agree how to divide the sum. Microsoft FTEs are barred from this type of compensation, where alternative options will be discussed. 

DEEP-DIVE SESSIONS (2 * 90-minutes, Monday October 12th) :

On Monday October 12th, we are considering to hold deep-dive sessions (2 * 90-minutes), to allow attendees to be a bit more flexible in their decision making process. Full disclosure, our final decision will be made based on the submissions, with some healthy debate within our team. 

There are no guaranteed slots for full-day or 180-minute workshops. We will select the pre-conference sessions based on a combination of topics and the interests of our audience. Our goal is to offer a diverse selection.

A 2 * 90-minute deep-dive session will be compensated by our proposed payment scheme. A flat fee of 750€ per session, not speaker (excl. VAT) is used as a default payment, regardless of the attendees that register. 

This compensation is per session, in the case of multiple speakers they have to agree how to divide the sum. Microsoft FTEs are barred from this type of compensation, where alternative options will be discussed. 

EXPERT SESSIONS (400+, melt some brains):

To continue our good tradition to specifically plan expert level sessions (400+), we're specifically looking for deep-dive sessions on advanced, complex topics. When submitting a session like this, please make sure you clearly outline any prerequisites the attendees should have. We're aiming at enough level 400-500 (or higher) sessions, to offer a wide variety of sessions and topics.

TARGET AUDIENCE:

Our target audience can best be described as a majority of technical people (practitioners), in a variety of data-facing roles. Whilst most of our attendees are not budget holders or decision-makers, they will have significant influence in the decision-making process. Their experience will vary between people just starting out in their current role, trying to absorb all the knowledge they can, to well-experienced people just there to broaden their range with some extra use cases. 

For example, these are job titles that come back in our post-event evaluation: Database Administration, Database Developer, BI Analyst, BI Engineer, Data Scientist, Data Engineer, Data Architect, Data Analytics Engineer, Azure Data Administrator, Prompt Engineer, Data Artist, ...

As dataMinds Connect, we also work together with a selected few colleges and universities in Belgium and allow students to attend. 

ABOUT THE TEAM:

dataMinds Connect is organized by a group of volunteers in their spare time. If you want to know more about these people, you can find more details on our webpage

DISCLAIMER:

Speakers will be asked to travel to Belgium for the event, and any exceptions should be discussed with the organising team. More likely than not, exceptions will not be made.

TIMELINE:

  • Thursday March 12th 2026: Call for Speakers open
  • Thursday May 14th 2026: Call for Precon Speakers close
  • Thursday May 21th 2026: Call for Speakers close
  • Tuesday May 26th 2026: Session selection process
  • Thursday May 28th 2026: Session selection feedback
  • Monday May 18th 2026: Blind Bird Ticket Sales open (Limited tickets)
  • Monday June 1st 2026: General Ticket Sales open and Schedule announcement to public (Precon & Regular Sessions)
  • Monday October 12th 2026: Precon Day
  • Tuesday October 13th 2026: Conference Day
  • Wednesday October 14th 2026: Conference Day

all submitted sessions

publicly listed on this page

accommodation

expenses covered

event fee

free for speakers

We'll be offering booked accommodation for 1 night at one of the selected hotels.


Login with your preferred account


If you haven't logged in before, you'll be able to register.

Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.

195 submissions
Submitted sessions
Marjolein Opsteegh
  • 10 Pro Tips to Take Your Power BI Reports to the Next Level
Varun Joshi
  • The Anatomy of DuckDB: How an In-Process OLAP Engine Works in Pure Python
  • Agentic Loops in the Data Stack: From Pipeline Failure to Auto-Remediation
Ian Pike
  • The Fabric Jigsaw : What are the things to know before you start a Fabric project
Kevin De Laet, Fabrice Deseyn
  • PlatformOps: Governance of Your Azure Data Platform
Tim Bal
  • Architecting Delusion: The Real-Time Fetish, AI Hallucinations & Institutional Schizophrenia of Data
  • Everything, Everywhere, All at Once: Architecting Multi-Agent Systems for Living Documents
Oliver De Vijt
  • Beyond Built-in Mirroring: Mastering Open Mirroring in Fabric
Savita Singh
  • Hyperscale - the SQL Database for All Workloads
  • Transform Your Business with Fabric Real-Time Intelligence
  • SQL database in Fabric: The unified database for AI apps and analytics
  • SQL vs. Fabric? Why Not Both! A Practical and Entertaining Guide for All
  • Enable agentic AI apps with a unified data estate in Microsoft Fabric by Microsoft
Magnus Ahlkvist
  • Log shipping is the method, PowerShell is the tool
  • Learn about database projects in a day
  • Get Started with tSQLt
  • SQL Server indexes - the basics and beyond
Margarita Naumova
  • SQL Server 2025: The One-Day Masterclass
Bas Land
  • Bronze, Silver, Gold: An Opinionated Guide to Medallion Architecture in Fabric
  • Delta Table Optimisation - Improving Queries using Delta Partitioning and Liquid Clustering
  • Dashboard are Dead, Talk to your Data!
  • Forget the Enterprise: a pragmatic Fabric architecture for SMEs
show all submissions
Joey Dantoni
  • Git Good: GitHub and GitHub Actions for the Rest of Us
Michael Wall
  • Immutable SQL Server - Pets vs Cows
  • Azure Storage: You want to put what where?
  • Doctor, help me with my DR (Disaster Recovery)
  • Becoming a Master by Giving it all Away
Sahil Kale
  • Trust, Built In: Structure Is the Way for AI Safety
  • Stop Paying Twice: Agentic AI, but 40% cheaper?!
Joppe Wouters
  • Keeping the Fabric factory operational: turning cost knobs and building better monitors
Enrico van de Laar
  • From Convenience to Control: Breaking Free from Big Tech Data Platforms
Andrew Madson
  • What Got Us Here Won't Get Us There: The Future of Data Infrastructure and AI Agents
Federico Fregosi
  • Scalable, Flexible, and Cost-Effective Data Lakes: Open-Source Solutions for Modern Data Management
Shibi Ramachandran
  • How Spec-Driven Development Changes the Way Teams Build Software
Grant Fritchey
  • Query Performance Enhancements in SQL Server 2025
  • The DBA Who Watched Planes: A Real World AI + PostgreSQL Project
  • Fun With Radios: Using postGIS and PostgreSQL in Amateur Radio
  • Learning PostgreSQL as a SQL Server User
Ruben Joosen
  • Stop Guessing Your DAX: Debug Like a Pro with EVALUATEANDLOG
  • Time Intelligence, Finally on Your Terms: Welcome to Calendar-Based DAX
  • Write Once, Use Everywhere: Falling in Love with DAX User-Defined Functions
  • Visual Calculations in Power BI: Because Your Measures Deserve a Break Too
Jurgen Postelmans
  • Declarative Automation Bundles
  • Building Modern Data Pipelines with Lakeflow Spark Declarative Pipelines
Sylvio Rodriguez
  • Designing Robust Finance Models in Power BI
Peter van den Bos
  • Unlocking the Power of the VertiPaq Engine: Data Modeling for Maximum Performance
  • Practical Data Modeling in Power BI: Beyond the Star Schema
  • Optimizing Power BI: Enhancing Performance Through Data Modeling
  • Modeling Power BI with Code: Unlocking the Power of Semantic Link
Sonal Goyal
  • From Data Chaos to Trusted Insights: Open Source Entity Resolution in the Microsoft Fabric Lakehouse
Hocine Mechara, Stephane Haby
  • Empowering Agentic AI with Azure: From Vision to Real-World Impact
Ásgeir Gunnarsson
  • Building a Lakehouse in Microsoft Fabric – From Business Requirements to Engineered Data Models
Benito van Breugel
  • Medallion Magic: Turning Data Layers into Stories That Stick
Michael Schwaenen
  • Lost in translation: the real cost of multilingual reporting in Power BI
Sam Debruyn
  • dbt Deep-Dive: Beyond your First Models
  • The Polaris Papers: Inside the Fabric Data Warehouse
  • Monitoring Fabric Data Warehouse at Scale
  • Fabric's dbt Job: Build and Test Your Warehouse with SQL
  • Fabric's dbt Job: The Case for SQL in Your Warehouse and Lakehouse
  • Securing your Fabric Fortress
  • Thread by Thread: Lessons from Migrating to Fabric
  • From Lock-In to Openness: The Shift in Data Platforms
  • Hardening Fabric Warehouse Security
  • Fabric's dbt Job: Build and Test Your Warehouse with SQL
  • The Polaris Papers: Inside the Fabric Data Warehouse
Oskari Heikkinen
  • User Data Functions: Development, Testing, and Integration
Aditya Paliwal
  • Geo-Intelligence: Unlocking Insights Through Open-Source Geospatial Analytics
Chisom Nwokwu
  • Deploying Real-Time ML with Azure ML at Scale
Aspen Ambrose
  • Creating Dashboards That Speak
  • Deadlines, Datasets, and Diapers: Balancing Motherhood and Data Careers
Matthias Nohl, Tim Spannagel
  • Your Semantic Model Is Not Enough: Building an Intelligent Data Estate with Fabric IQ
  • SAP to Fabric: A Step‑by‑Step Integration Playbook for S/4HANA & ECC
Matthias Nohl
  • It’s Not Either–Or: Building an Intelligent Data Estate with Fabric Data Warehouse & Fabric SQL
  • From Reports to Decisions: Agentic Planning with Fabric Planning & Fabric Data Agents
Karianne Kies
  • Customer Managed Keys in Microsoft Fabric: What It Actually Does (and Doesn't)
Jon Vöge
  • Native Write-Back in Fabric for Power BI Developers
  • Advanced Access Control Patterns in Microsoft Fabric
  • Write-Back in Microsoft Fabric - The Ultimate Showdown
Kellyn Gorman
  • Mastering Cloud Infrastructure Across AWS, Azure, and Google Cloud
  • Justifying AI Without Sacrifice of Functionality
John Martin
  • Modernizing workloads from SQL Server to PostgreSQL with Flexible Server for PostgreSQL
  • Exploring your GitHub Repositories with Microsoft Fabric and DORA.
  • Industrial Revolution 5.0 - Agentic AI, the modern spinning jenny?
Paul Andrew, Jon Lunn
  • Simplified File Ingestion With Microsoft Fabric Open‑Mirroring - Design & Build
Paul Andrew
  • Evolving Azure Real-Time Data Feeds Into Fabric Event-Streams
  • Data & Community: An Amazing Network Of Peers Supporting Innovation & Growth
  • Microsoft Fabric Platform Governance - Where To Start
  • Building Near Real-time Data Solutions in Microsoft Azure & Fabric
  • Build a Lakehouse in a Day with Metadata & Open-Source Tools
  • An Introduction to SQL – ANSI, Transactional and Spark Flavoured
Christian Henrik Reich
  • Beyond Chatbots: Leveraging AI for Unstructured Data Processing
  • The Data Engineer’s Guide to Microsoft Fabric: Building Modern Data Lakehouses
Andreea Vasilescu
  • From 10% to 100%: Building an LLM-Powered Feedback Loop for Regression Detection
Pieter Vanhove
  • The Latest Data Security Innovations in Azure SQL
  • Under the Hood of Transparent Data Encryption: Securing Data at Rest in Azure SQL and SQL Server
  • When AI meets your database: Securing sensitive data in Azure SQL in an AI-driven world
Jan Chlebek
  • Write it Back: Enhancing Power BI with Data Writebacks and Translytical Workflows
Gianluca Sartori
  • Questioning My SQL Server Faith… So You Don’t Have To
  • Babelfish: The SQL Server Killer?
Cláudio Silva
  • Is this the end of Index Maintenance? Introducing Automatic Index Compaction
  • Fix performance problems faster - Accelerating Query Store data analysis
Sara Woltjes
  • Keep Your Friends Close and Your Stakeholders Closer
Peter Kruis
  • From GUI to Scripting: PowerShell for the DBA
  • Query Store Basics: A DBA’s Best Friend
Mathias Van Oeteren
  • Becoming a Databricks Pro in 60 minutes
  • Many roles, one Copilot to rule them all
Sarah Wimberley, Ivan Milanov
  • Get Your Jersey On: Lean into Agile with Ivan & Sarah
Sarah Wimberley
  • Three Lessons from a Woman in Enterprise Architecture
  • The What, Who & Why of Consent Management
Danny de Haan
  • From Reactive to Resilient: Navigating the Data Security Maturity Journey
  • Database Development with a Security-First Mentality
  • Securing the SQL Server Data Platform: Preventing Data Loss and Ensuring Data Privacy
  • Securing the SQL Server Data Platform: Strategy, Hardening, and Real‑World Defense
Alexandra Zakharova
  • Staying Irreplaceable in the Age of AI: Creativity, Cognition, and Human Skills
Menno Mestrom
  • From insight to impact: embedding Power BI dashboards in business decision workflows
Joanna Hryniewicz
  • The Only Therapeutic Session Your Fabric Platform Needs
  • The Memory of AI: Why Your Semantic Model Is Making Copilot Hallucinate (And How To Fix It)
  • The Gym Membership Fallacy: Why Self-Service BI Adoption Fails (and How to Fix It)
  • Your Data Platform Is Overweight: A Biohacker’s Guide to Cutting Fabric Fat Without Losing Strength
  • Stop Babysitting, Start Delivering: DataOps for Fabric & Power BI Grown-Ups
Mariya Ali, Sowmya Sivaraman
  • Anatomy of Query Performance in Fabric Data Warehouse
Attinder Pal Singh
  • Unlocking the Power of SQL Server 2025: Deployment Strategies and New Features
Stephane Haby
  • SQL Server Collation, the dark face of data presentation!
Sander Stad
  • Custom Deployment DSLs: Writing Your Own Terraform/Bicep for SQL Server
  • Write Once, Deploy Anywhere: Build Your Own SQL Server Deployment DSL with PowerShell
  • DevOops: What Not to Do in DevOps
  • Secrets, Tokens, and Identity in Automation: Stop Leaking Your Keys
  • Building a production-ready Azure SQL platform with IaC, DevOps, and automation, end to end
Claudia De Jeu Boronat
  • From Concept to Production - The Real Roadmap for Enterprise Agentic AI
Santhosh Kumar Ravindran
  • How to Make Fabric Spark Run Faster—Even the Fastest!
Duncan Boyne
  • Dashboard in a Day? Nah. Let’s Do One in an Hour.
  • AI for Power BI Professionals: The Prompt Pack That Actually Makes You Better at Your Job
Sally Dabbah
  • Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric
Lorraine Williams
  • Courageous Communication: Clear is Kind
Valerie Junk, Alexander Arvidsson
  • Driving Action With Data and Power BI - Lessons From the Real World
  • Turning Data into Action with Power BI
Manuel Alejandro Ledezma Falcon
  • Machine Learning for Testers: Train, Evaluate, and Detect Bias in AI Models
  • How to Automate Tests for LLMs That Never Answer the Same Way Twice
Francesco Bergamaschi
  • User-Defined Functions (UDFs) in Power BI: overview and applications
  • Understanding CALCULATE, the queen of all DAX functions
  • Debug and Optimize your (your your AI's) DAX code
  • Understanding DAX Pillars
Karel Coenye
  • From Notebooks to Living Documentation
Cvetanka Eftimoska, Marija Stojanovska
  • One pipeline, endless possibilities - how configuration drives the modern data architecture
Shubhangi Goyal
  • Wireframe to Report: A Practical Power BI design workflow
  • Architecting AI with MCP
  • Crafting Intuitive Power BI Dashboards with Figma
Geovanny Hernandez
  • Snowflake Deep Dive: Architecture, Connectivity, and Advanced SQL Inmersion
Andrew Pruski
  • The Burrito Bot: AI-Powered Search in SQL Server 2025
  • New features in SQL Server 2025 (that aren't AI)
Juliana Smith
  • Accidental Data Lies: Avoiding Misleading Visuals in Power BI
  • Avoiding Interpretive Risk in Data: Lessons for Power BI Developers
  • Ethos, Pathos & Logos: Aristotle’s Lesson for Ethical Data Design
  • POURing Accessibility into Power BI: Practical Steps for Inclusive Analytics
Michaël Hompus
  • The Art of Simple Software Architecture Documentation
Juliana Smith, Duncan Boyne
  • Power BI Report Development Through Principles of Rhetoric and Perception
Bernat Agulló
  • If life gives you excels, make the most out of them!
  • Calc Groups vs DAX UDFs: When, why and how!
Vijaykumar Jangamashetti
  • Gemini in BigQuery: Explore the Unified Data Experience
Marnix Jansen
  • Decision-Driven Power BI Reporting with Translytical Writeback
  • Predictive Analytics in Power BI using DAX
  • Write Reusable DAX with User Defined Functions
Robbe Volders
  • Power BI x Power Automate
Jose Manuel Jurado Diaz, Juan Moreno Romo
  • CPU Topology: The Hidden SQL Server Performance Trap
  • Query Store and Azure SQL Copilot, who is the fairest in the land?
Fawaz Ghali
  • What’s Actually Next for AI (And What Definitely Isn’t)
  • From Research to Reality: Where AI Breaks
  • AI Tools, Trends, and Truths: A Reality Check
  • After the AI Hype Fails: What Actually Delivers Value
Uwe Ricken
  • Mastering Statistics in Microsoft SQL Server
  • Mastering DML Operations in SQL Server
  • Evolution of User-Defined Functions in Microsoft SQL Server
  • Demystifying Clustered Indexes in SQL Server
  • How Intelligent Query Processing (IQP) can help reduce cloud costs
  • SQL Performance Pitfalls: Identification and Optimization Lab
Mohamed Mortadha Manai
  • Building Agentic AI Workflows with xAI on Vertex AI: From Code to Action
Natalie Johnson
  • Leading the Culture Journey
  • Courageous Conversations: Communication with Clarity, Conviction and Kindness
Lucas Rocha
  • From Zero to Million: How I got 2 Million downloads on my Open-Source PHP package
  • Feedback: A Powerful Tool for Growth and Professional Development
  • Ship with Confidence: A JavaScript Test Automation Workshop
Omer Colakoglu
  • Building an AutoML Pipeline for Vector Data in Azure SQL
Marc Lelijveld
  • Mastering Fabric Data Agents: From Setup to Success
Rozaliia Khafizova
  • Your Data Is Ready. Your Organization Is Not.
Christos Chatzis
  • The Paradox of Analytics on PII Data
Štěpán Rešl
  • Tenant Observability & Automation: Capacity Metrics, Log Analytics, Scanner API and Python
  • Beyond Standard Use Cases: Exploring Microsoft Fabric with DOOM and Pokémon
Valerie Junk
  • Power BI & Storytelling - Research, create, deliver
  • Creativity in Power BI: Two sides of a coin
  • Power BI Conditional Formatting – Highlight What Matters
Clarissa Rodrigues
  • Effective Collaboration and Communication in Remote Teams
  • Mastering Software Quality: A Blueprint for Starting Fresh
  • How to Lie with AI: Understanding Bias, Ethics, and the Hidden Risks in Machine Learning
Oliver Glassmann
  • A Song of Data and Governance: Uniting Rival Kingdoms
  • 5000 Years of BI - Is Business Intelligence still relevant in 2026 AD