Call for Speakers

in 133 days

dataMinds Connect 2019

event starts

07 Oct 2019

event ends

08 Oct 2019

location

Mechelen, Belgium


dataMinds Connect is the new and improved version of the (former SQLUG.be) SQL Server Days. New and improved, keeping in mind the same core values. 2 days filled with learning, networking and a whole lot of laughs while doing so! 

This year will be the 12th edition of the conference, and running for the third time as dataMinds Connect. Aiming to bring together all people with a passion for the Microsoft Data Platform, in all flavours possible, we're hoping to receive even more people than last year!

Go ahead and clearly mark Monday October 7th and Tuesday 8th in your schedule, as these will be 2 days you don't want to miss!


open, 12 days left
Call for Speakers
CfS opens at 12:00 AM

13 Feb 2019

CfS closes at 11:59 PM

07 Jun 2019

This event is in Romance Standard Time time zone.
Closing time in your time zone is .

Open for all sessions related to the Microsoft Data Platform, in all possible flavours. Going from your traditional DBA and BI topics, to more advanced AI topics.

All conference sessions will be 60 minutes, and allocated to a track.
Proposals for workshops are also accepted, but bear in mind that we're searching for these on our own as well. It may be possible that certain precons are already chosen.

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


all submitted sessions

publicly listed on this page

event fee

free for speakers

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171 submissions
Submitted sessions
Benni De Jagere
  • An hour in the life of Power BI Reports
  • Troubleshooting Power BI Report Performance
  • Power BI Dataflows? Why you need to implement it!
Sander van der Hoeff
  • Testing Data Warehouse and BI solutions
  • Database projects in VS2017-The Road to BI Devops
  • SQLServer under pressure: Can I fix it?
  • PowerBI vs Tableau: the battle
Klaas Vandenberghe
  • Never trust the Data!
Mohammad Darab
  • 3 Keys to Successful Consulting
  • Big Data Clusters for the Absolute Beginner
Brent Ozar
  • Why is the Same Query Sometimes Slow?
  • Your First Official Indexing Class
  • Watch Brent Tune Queries
Pinal Dave
  • Run Query Run - SQL Wait Stats Version Next
  • Kick Start! SQL Server 2017 / 2019 Performance Tips and Tricks
  • SQL Server Performance Tuning Without Touching Code
  • Redundant Devs & DBAs - Adaptive Query Processing and Automatic Tuning
  • Indexes - The Unsung Heroes of SQL Server
  • Performance in 60 Seconds – SQL Tricks Everybody MUST Know
  • Practical Real-World Performance Tuning for Developers and DBA
Tomasso Groenendijk
  • Using VNETs in PaaS solutions
Koos van Strien
  • Azure DevOps for BI & Data Platforms
  • Open Source Data Solutions on Azure
  • Git / Azure Repos for BI & Data Platform development
Enrico van de Laar
  • Crazy Data Science
Patrick LeBlanc
  • Using the Power platform to radically change your business
show all submissions
Thierry Janssens
  • Standards in Machine Learning Models
Alexander Klein
  • Azure Cognitive Services - AI for everyone?
  • BI in Azure one year live
Rob Sewell
  • dbachecks - The PowerShell Module to validate your SQL Estate
  • SQL Notebooks in Azure Data Studio for the DBA
Bartosz Ratajczyk
  • First steps with SQL Server on docker
Jose Manuel Jurado Diaz, Juan Moreno Romo
  • Azure SQL Database - Lessons learned from the trenches
  • Attention Contention!!!
Jose Manuel Jurado Diaz, Vitor Pombeiro
  • How to get the most from Azure SQL Database
Pieter Vanhove
  • Introducing Azure Cosmos DB for the relational DBA
  • Keeping your data even *more* secure with SQL Server 2019
Nico Jacobs
  • Machine Learning on auto-pilot: Automated Machine Learning
  • Azure Machine Learning Service
  • Azure Data Factory, your data pipeline in the cloud
  • Four questions machine learning in Azure can answer
  • SQL Server surprises
  • Advanced stream analytics
  • Azure Data Warehouse: Why, What and How
Craig Porteous
  • Supercharge your Reporting Services: An essential toolkit
  • 3 ways to bring Power BI under Source Control
Sander Stad
  • DevOps for the DBA
  • Start To See With tSQLt
  • Mask That Data!
Chrissy LeMaire
  • simplifying managed instance migrations using dbatools
  • 15 can't miss commands in dbatools 1.0
Cathrine Wilhelmsen
  • Building Dynamic Data Pipelines in Azure Data Factory
  • Creating Visual Data Transformations in Azure Data Factory
  • Biml Tips and Tricks: Not just for SSIS packages!
  • Azure Data Factory Deep Dive
  • Pipelines and Transformations: Introduction to Azure Data Factory
Hamish Watson
  • Test Driven Development in SQL Server – how to deploy code safer
  • DevOps and the Data Professional
  • How to deploy SQL Server containers on Kubernetes in Azure
Adam Saxton
  • Power BI - From Beginning to End
  • Debugging Common DAX and Model Performance Issues
Hamish Watson, Rob Sewell
  • Using AKS and Azure DevOps to bring DevOps to your Database
Jose Manuel Jurado Diaz, Pieter Vanhove
  • Azure SQL Database 2.0 - the new stuff!
Ben Weissman
  • Let’s build SSIS packages with Biml – live!
Ben Weissman, Enrico van de Laar
  • The Big SQL Server 2019 Big Data Cluster Show
Just Thorning Blindbæk
  • Paginated Reports for the Power BI developer. Love is in the air!
  • Customer story: End-to-end Microsoft BI solution in Azure
Ivan Čuljak
  • How to be polite with databases when going serverless
  • The Art of Monitoring and Debugging Azure Functions
  • Mobile DevOps & Remote Teams
  • Building mostly serverless distributed cloud systems step by step [WORKSHOP]
  • Serverless Beyond Tutorials
  • Provisioning and deploying to serverless
Henk Boelman
  • DevOps for Artificial Intelligence, the road to production.
  • Getting started with Azure Machine Learning services
Kristof Van de Loock
  • Automate your Data Warehouse Development
Erwin de Kreuk, Michel van Gelder
  • Answering the real question: BI and Data Science happy together
Willem Meints
  • Build great machine learning solutions in a DevOps environment with Azure Machine Learning Service
  • Deep Learning for absolute beginners
  • Get started with reinforcement learning to personalize your applications
Randi Vertongen
  • Lesser known sql server functionalities, hidden gems or false hope?
Bart Van Der Vurst, Charles Cuigniez
  • Using Artificial Intelligence Demand Forecasting to drive Supply Chain Planning
Klaus Aschenbrenner
  • Running SQL Server on Linux
  • Latches, Spinlocks, and Lock Free Data Structures
  • Myths and Misconceptions about Locking & Blocking
  • Design, Deploy, and Optimize SQL Server on VMware vSphere
  • Running SQL Server 2019 Availability Groups in Azure Kubernetes Services
Adam Saxton, Patrick LeBlanc
  • Enable Hybrid Data access with the On-premises Data Gateway
Andrea Martorana Tusa
  • Sharing methods in Power BI: how to fulfill your audience
  • Power BI Governance & Users Management
Nicky van Vroenhoven
  • Query Folding in Power BI
Nicky van Vroenhoven, Jeroen Schalken
  • Power BI (Premium) Implementation at a Financial Institute
David Postlethwaite
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Kevin Chant
  • SQL Server 2019 with a touch of Linux
  • Database Adventure
Erwin de Kreuk
  • Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
  • Using Azure Data Factory to migrate your current SQL Server to an Azure SQL DataWarehouse
  • Building your CI/CD pipelines in Azure Dev Ops for a BI Solution with SSIS and SSAS
  • Azure Data Factory V2, lift and shift your SSIS Packages to the Cloud
Simon Whiteley
  • Python Pipeline Primer: Data Engineering with Azure DataBricks
  • Advanced Data Factory: Let the Data Flow!
  • Data Engineering at Scale: An Azure SQL Data Warehouse Performance Guide
Rune Ovlien Rakeie
  • Easing the pain of database migrations, a closer look at the new cloud citizen - DMS
Ásgeir Gunnarsson
  • Checking in with Power Apps, Flow and Power BI
  • Enterprise Power BI – Development Lifecycle
  • Monitoring Power BI
  • Who, What, When. Monitoring usage of your MS BI stack
Kasper de Jonge
  • Debugging your premium capacity
  • Microsoft Power BI Premium: Building enterprise-grade models
Prathy Kamasani
  • Power BI Report design Tips and Tricks
  • Introduction to PowerApps and Integration with Power BI
Marc Lelijveld
  • Storytelling & interactive reports with Power BI Bookmarks & Drillthrough
  • Power BI for the Enterprise, what should you think about?
  • AI Capabilities for Power BI to make AI Accessible for Everyone
  • Use parameters to add extra flexibility to your Power BI content
  • End-to-end monitoring for a successful Power BI implementation
  • Enterprise and multi-tier Power BI deployments with Azure DevOps.
Geovanny Hernandez
  • Keeping your SQL Code safe – An introduction to GIT and SSDT for DB professionals
  • Lets go deep in SQL Server Unit Testing with Visual Studio
Luc Rogge
  • Commonalities and differences between BI and Datascience pipelines
Philippe Van Rillaer
  • Shape Maps in Power BI
Marco Obinu
  • Deploy and manage your SQL Server instances with PowerShell!
  • From on-prem to Azure SQL Database Managed Instance in 60 minutes!
  • Save money and maximize performance of your SQL Server VM on Azure IaaS!
Paul Andrew
  • Beyond IoT Real-time Data Ingestion with Azure Stream Analytics
  • Complex Azure Orchestration with Dynamic Data Factory Pipelines
  • Data Factory – An Introduction to Azure Control Flows & Data Flows
  • ETL in Azure made easy with Data Factory Data Flow
  • Azure Data Factory - Zero to Hero
David BARBARIN
  • SQL Server docker containers from the development to the production
Sammy Deprez
  • Advanced Text Analytics with Cognitive Services and custom ML
  • Azure Search
Kris Wijnants
  • Kimball versus Entity framework
Gianluca Sartori
  • Benchmarking in the cloud
Clint Huijbers
  • Let's generate all the ADF Data Flows we need (ETL 2.0)
  • Generate ADF Copy Data activities to export all types of sources to CSV-files
  • Embrance Azure DevOps and deploy almost anything
Gautier Dumont, Vincent Meyers
  • Power BI deployment strategy in large companies
Denis Reznik
  • Hidden Gems of SQL Server from 2008 to 2019
  • Why Should I Care About SQL if I Have ORM?
  • Why my query is slow and how to fix this
José Mendes
  • Learn how to build a real-time analytics solution
Björn Peters
  • How to Get Started with Azure SQL Managed Instance
  • Hej databases, come on and get into the cloud
Stephan Van den Eynde
  • Hybrid IT for the win!
Dejan Sarka
  • Identity Mapping and De-Duplicating
  • Data Science: Associations between Two Variables
  • Embrace R
  • Data Science with Python or R?
  • Comparing Predictive Mining Models from R, Python, SSAS, and Azure ML
Marc Lelijveld, Dave Ruijter
  • Power BI Cheat Sheet explained!
Terry McCann, Simon Whiteley
  • Azure Databricks: Engineering Vs Data Science
Terry McCann
  • Docker & Kubernetes for the Data Scientist
  • An introduction to Deep Learning in Azure
  • Exploring Graph structures with the CosmosDB Gremlin API
  • Using AI to write conference session submissions
  • Production Python Machine Learning in SQL Server
Luis Beltran
  • Bringing AI to the edge: On-premise Azure Cognitive Services using Docker containers
Koen Verbeeck
  • Practical Data Visualization Best Practices
  • Migrating SSIS to the Cloud
  • The modern Cloud Data Warehouse - Snowflake on Azure
Jens Vestergaard
  • ABC's of the Power BI REST API
Alexander Arvidsson
  • The Force Awakens - Azure SQL Server for the on-prem DBA
  • Boring is stable, stable is good – best practices in practice
  • DAX for the SQL developer
  • Azure machine learning for the absolute beginner
  • Arguing with myself - self-service BI from an infrastructure perspective