Call for Speakers
dataMinds Saturday 2025
22 Feb 2025
Thomas More Mechelen Mechelen, Belgium
datamindssaturday.be/
Speakers must currently reside in Belgium. We're making this a locally focused event for speakers, but free to attend for anyone.
dataMinds Saturday will be an in-person event, hosted on February 22nd 2025.
Most important of all, is that it will be free to attend for anyone.
In the past years, we’ve noticed an upward trend in the number of data-related User Groups and conferences sprouting up in Europe and all over the world. The data community is a great community and there are a lot of talented international speakers ready to share their knowledge.
Recognition is key and there are not many opportunities for local talent to grow their acknowledgment as a lot of international speakers fill in speaker slots quickly. This doesn’t leave much room for the rising stars. With dataMinds Saturday 2025, we want to shift the focus and pass the mic along to local talent, granting them their place in the spotlight and offering them the opportunity to add more speaking experience to their portfolio.
dataMinds is therefore organising another edition of dataMinds Saturday on February 22nd 2025 with a focus on Microsoft Data & AI Platform enthusiasts residing in Belgium ready to deliver great content.
Throughout the year, and with our other events we welcome any speaker with open arms, but making sure our local talent can grow, is still one of our primary goals as a local user group in Belgium.
To conclude, a reminder that should be obvious to anyone. We believe that anyone should be able to attend our event, regardless of their characteristics.
We require everyone to adhere to our Code of Conduct, and will remove anyone that doesn't do so.
Call for Speakers
08 Oct 2024
08 Dec 2024
The session length for all sessions is 60 minutes, in which 5 minutes are blocked for Q&A. Speakers are advised to not run over the allotted time, to allow the next speaker to prepare, and the attendees to take a small break.
The sessions will be held in 3 rooms throughout the day. Please submit your session to which of these tracks you think it's linked the most. If need be, the organisation can swap sessions to different tracks, if we deem it necessary.
- Analytics
- Administration
- Visualisation
- Architecture
- Engineering
- Strategy
Sessions can only be submitted in English.
When in doubt, don't hesitate to contact us!
all submitted sessions
event fee
0€
Submitted sessions
- Fabric + Dataverse: New Data Architecture at WiV
- Data mesh: from theory to practice
- Use powershell to analyze query plans.
- From Burnout to Mental Wellness: Personal Insights and Prevention Strategies
- What is Medallion Architecture? A Deep Dive into Cloud Data Engineering Projects
- 'Excel' in Power BI, or rather don't
- Embark on Your Power BI Odyssey: A Comprehensive Guide for Beginners!
- Empowering Self-Service Reporting with Fabric and Power BI
- Enhancing Stakeholder Satisfaction with Power BI Paginated Reports
- The Data Lakehouse of your dreams: Clear, Sturdy and Simple.
- Pivoting your way to a value driven Data Lakehouse
- The XYZ of DLT: Lessons learned from using DLT in a continuous mode streaming context
- The ABC of DLT (Delta Live Tables): Simplifying your ETL one run at a time!
- The Different Levels of Securing a Self-Service Environment with Unity Catalog in Databricks
- Trusted Research Environments with Databricks: Leveraging Unity Catalog, Delta Sharing & Clean Rooms
- All you need to know about Microsoft Fabric
- Beyond Power BI: Interactive Data Visualization with Streamlit and Plotly
- Single-node technologies vs. Spark in Microsoft Fabric: Choosing the right tool for the job
- Local development of your Microsoft Spark job definitions
- DataVault 2.0 - How, When, Why (Not)?
- Azure AI Foundry & Gen AI - Getting Started
- Creating a fast local data platform with a modern data stack: Dagster, DBT and DuckDB
- How to use Microsoft Fabric to report on your Dynamics Data in Dataverse?
- A gentle introduction to Python
- Embracing Agile Documentation: A professional approach to streamline your technical writing process
- Unlocking Insights with Generative AI on Your Own Data: From RAG to GraphRAG
- The real-time data analytics battle: Microsoft Fabric vs Azure PaaS
- Welcome to the Wild West: Security of LLM-driven tools
- Welcome to the PBI legion: a Power BI starters guide
- Unlocking the Data Multiverse: A Cohesive Blend of Power BI, Fabric Shortcuts and Databricks
- The How and Why of Fabric databases
- Using Azure SQL as a vector database
- What's new in T-SQL
- KQL Know-how: Mastering the Art of Kusto Query Language
- Deceptive DAX
- The paradigm shift to analytics engineering
- SQL vs Python for data work: language showdown
- Dbt will make your life much easier
- Bringing good software engineering practices to analytics
- Building a data lakehouse on Fabric with dbt
- Building Effective Data Warehouses and Power BI Models - Intro to Dimensional Modelling
- Table Maintenance for Improved Performance in Microsoft Fabric
- Introduction to Azure Data Factory
- Unlocking SQL Database Potential in Fabric
- Abhilekh Verma's Gen AI Session
- Unlocking the Benefits of Database DevOps and Automation
- When to Leverage Relational Data with Azure Fabric
- Power BI Refresh Rendezvous: Learn about the why and how behind incremental refresh!
- Real-World AI Transformations: Case Studies in Data Collection, Product Redesign, Customer Support,
- Performance tips to rocket your queries
- Vector Search on Azure SQL and On Prem SQL Server with Performance
- AI + BI = CI (Combined Intelligence)
- dbt and Fabric - a match made in heaven?
- COPilotING my Autism in Tech
- Copilot(s), MarkDown and a Medical Team to the Cure
- Exploring Deployment Patterns in Fabric: Best Practices and Strategies
- Apache Spark for SQL Data Warehouse Developers
- Database Unit Testing for Data Professionals
- Migrating from SSRS to Power BI Paginated Reports
- Database Deployment Automation using Database Projects & Azure DevOps
- Database Projects & Azure DevOps - 101
- Troubleshooting Power BI Reports
- Low friction data transformation and data movement using Fabric Dataflows
- Using Lakehouse Data at scale with Power BI, featuring Direct Lake mode
- Star Schema ALL the things! But why?
- Understanding Fabric Capacities
- Copilot in Fabric - Explained for the Administrator!
- Embedding Power BI reports on your own portal
- Creating an Agile work environment with DevOps for BI developers
- Data Encryption & Integrity: Innovations in Azure SQL
- Confidential development with Always Encrypted using enclaves
- Importing unstructured data from PDF to SQL Server
- AI at Work
- Fabric Fortresses: Setting Up Microsoft Fabric for Your Enterprise Needs
- From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
- Fabric Capacities: Divide and Conquer
- From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric
- How A.R.T. can help you communicate data