Call for Speakers

in 201 days

dataMinds Connect 2019

event starts

07 Oct 2019

event ends

08 Oct 2019


Mechelen, Belgium

dataMinds Connect is the new and improved version of the (former 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, 87 days left
Call for Speakers
CfS opens at 12:00 AM

13 Feb 2019

CfS closes at 11:59 PM

14 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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70 submissions
Submitted sessions
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
Sander van der Hoeff
  • Database projects in VS2017-The Road to BI Devops
  • SQLServer under pressure: Can I fix it?
  • PowerBI vs Tableau: the battle
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!
Erwin de Kreuk
  • 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
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
  • 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
show all submissions
David Postlethwaite
  • PowerShell Desired State Configuration (DSC)
  • Shard Attack - Horizontal Scaling in Azure SQL Database
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
  • 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.
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
Sander Stad
  • Start To See With tSQLt
  • Mask That Data!
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
Pinal Dave
  • 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
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
Henk Boelman
  • Getting started with Azure Machine Learning services