Call for Speakers

in 5 months

Data Saturday - Denmark - 2026

event date

31 Jan 2026

location

Microsoft HQ Kongens Lyngby, Denmark


Join us for an exciting event tailored specifically for data professionals, focusing on the latest advancements in Azure Data and Microsoft Fabric. This conference, organized by Jens Vestergaard and powered by a dedicated team of volunteers, offers a unique opportunity to dive deep into the world of data. Attendees will have the chance to explore cutting-edge features and best practices in Azure and Fabric through a variety of sessions led by local and global industry experts. 

While the primary focus will be on Microsoft technologies, the conference also embraces the broader ecosystem by looking to include sessions dedicated to GCP and AWS. This inclusive approach ensures that professionals with diverse cloud expertise can find value in the event, exploring data management, AI, machine learning, and other critical topics from all angles. With a strong emphasis on community and learning, this event promises to be a comprehensive and enriching experience for data enthusiasts across all levels.

Whether you’re looking to enhance your skills in data integration, analytics, or cloud infrastructure, this event will provide the insights and knowledge you need to stay ahead in the rapidly evolving data landscape.

open, 27 days left
Call for Speakers
Call opens at 12:00 AM

01 Jul 2025

Call closes at 10:00 PM

30 Sep 2025

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

📢

Are you passionate about data and technology?
Do you have insights and knowledge to share with a diverse audience of data enthusiasts?
We invite you to be a part of our upcoming Data Platform Conference as a speaker!


About the Conference:

At our Data Platform Conference, we're dedicated to delivering an exceptional learning experience to our attendees. We offer a dynamic program featuring 4 or 5 different tracks spread across 5-6 blocks, with 24-30 sessions in total.
This ensures that our conference caters to a wide spectrum of speakers and attendees, whether you're a seasoned Analytics Maestro, DevOps Pro, Developer by Nature, Reporting Enthusiast, or a Cloud Aficionado.


📅

Saturday 31st of January 2026  - Conference Day


🌍

Location is yet to be confirmed, but it is going to be an in-person event in the Copenhagen area, Denmark.


📝

Session Details:

Session Length: 60 minutes, 20 minutes or Training Day (full day of training)

Topics: We welcome sessions on any data-related or non-technical topic.

Max No. of Sessions per Speaker: You can submit up to 5 session proposals.

Difficulty Level: We encourage speakers to consider the varying expertise levels of our attendees, ranging from beginners to seasoned IT professionals. If you submit multiple sessions, please provide content suitable for different skill levels. We are operating with the following levels as a pointer for experience/level:

  • 100 - novice, up to 1 year
  • 200 - intermediate, 1-3 years
  • 300 - advanced, 4-6 years
  • 400 - expert, 6+ years
  • 500 - subject matter expert, 8+ years

🎯

Bonus points in the selection process if you are:

  • Speakers residing in the Nordic countries
  • First-time speakers. We will offer newcomers an experienced mentor to help them prepare.
  • Diversity (i.e. diversity in gender, race and ethnicity, disability and neuro-diversity)
  • Diversity in topics and technologies 


Examples of Data Topics (but not limited to):

RDBMS/SQL: Explore SQL Server, Postgres, MySQL, Oracle Database, MariaDB, CockroachDB, Snowflake, IBM DB2, and other related products.

NoSQL: Dive into discussions about CosmosDB, DynamoDB, MongoDB, Cassandra, ElasticSearch, Couchbase, and other NoSQL databases.

Data Visualization: Share insights on Power BI, Tableau, Qlik, SSRS, Crystal Reports, and other data visualization tools.

Infrastructure: Discuss topics like DBA/DevOps practices and the use of Private, Hybrid, and Public Clouds with platforms such as VMware, Microsoft Azure, Amazon AWS, Google GCP, Oracle Cloud, IBM SoftLayer, and more.

Development: Present sessions on Data Lake, Business Intelligence, Data Warehouse, Database Development, Data Engineering, and Integration techniques.

Data Science: Delve into Python/R, Machine Learning, Artificial Intelligence, and Deep Learning.


Examples of Non-Technical Topics:

Women in Tech: Share your experiences and insights on the role of women in the tech industry.

Personal Branding: Discuss strategies to build a personal brand in the tech world.

Building Your Own Tech Company: Share your entrepreneurial journey and lessons learned.

Mental Health: Address the importance of mental health and well-being in the tech field.

Careers in Tech: Offer guidance on different career paths within the tech industry.

Project Management: Discuss best practices in tech project management.


Session Info:

For each session proposal, please include a detailed description of what your session will cover, what attendees will learn, and any prerequisites or prior knowledge expected from the audience. Your session proposal should provide a clear understanding of the value attendees will gain from your presentation. 

⚠️

Important note: Short session descriptions will not be considered. Please provide detailed and comprehensive session descriptions that clearly outline the content, learning objectives, and prerequisites for your proposed session.

⚠️


all submitted sessions

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92 submissions
Submitted sessions
Maíra D'Eleutério
  • How The Heineken Brazil Company uses Power Platform and Citizen Developers for your tech revolution
  • From Code to Care: Navigating Tech, Entrepreneurship, and Motherhood
Christian Henrik Reich
  • Empowering Lakehouse Solutions with Apache Arrow and Python Notebooks in Microsoft Fabric
  • Introduction to Vibe Coding and MCP for Building a Dataplatform in Microsoft Fabric
  • Beyond Chatbots: Leveraging AI for Unstructured Data Processing
  • An Apache Spark query's journey through the layers of Microsoft Fabric
Jasveen Sandral
  • From Factory Floor to Data Pipeline: How Toyota's Manufacturing Principles Transform Data Engineeri'
Gethyn Ellis, David Postlethwaite
  • Data-Driven Storytelling with Power BI
  • Bridging the Gap: Transforming Tech Friction into Startup Success
  • A Step-by-Step Guide to Building a Data-Driven Culture
Leon Gordon
  • Who's Really in Control? Monitoring & Governing Microsoft Fabric the Smart Way
Grímur Sæmundsson
  • Real-Time Data Processing in Fabric: Tracking a Cycle Ride
  • Leave the progress reports to the agents
Sarath Sasidharan, Fretz Nuson
  • Exploring Deployment Patterns in Fabric: Best Practices and Strategies
Fabiano Amorim
  • Your Ultimate SQL Server Statistics Best Practices Review
  • Hacking MSSQL on Cloud. All of them. How I became sysadmin on Azure, AWS, GCP and Alibaba.
  • 13 optimizer statistic problems you didn’t know you had
Geir Alstad
  • Lakeflow Declarative Pipelines Demystified: A Practical Guide to Delta Architecture
Kosy Ashara
  • Automating Workflows with Model Context Protocol (MCP): Building API Clients and Servers
  • Building a Retrieval-Augmented Generation (RAG) Chatbot: Making AI Speak Your Data
  • Building Your Personal AI Toolbox: How to Leverage Today’s AI Tools Without Being an Expert
  • Thriving as a Black Woman in Tech: Lessons from Data, AI & Banking
show all submissions
Anne Holst-Dyrnes
  • Getting into Git with Power BI
  • Fabric through the eyes of a Power BI pro
Balusamy Chinnappaiyan
  • Real-Time Business Intelligence with Microsoft Azure: Event-Driven Architecture & Cost Optimizatio
Lorenzo Vercellati
  • Pro Data Visualization in Power BI
  • Hitchhiker's Guide for Time Travellers
Máté Tóth
  • Beyond Roles and Tools: The Skills That Always Move With You
Tarun R Jain
  • Efficient Query Routing using Agentic RAG
Danilo Dominici
  • What's amazing for developers in SQL Server 2025
  • Using Data API Builder with SQL Server or Postgres
Joanna Cichowicz
  • Women in Tech: How Power Platform is Redefining the Rules?
Manai Mortadha
  • Empowering Copilot with Explainable AI: Enhancing Transparency and Trust
Russ Abrams
  • 10-Minute Data-Driven Problem Solving: Boost Efficiency with Power Lean Sigma Methodology
Diana Todea
  • Hiding in plain sight: the upside down smile of neurodiversity
Massimo Bonanni
  • Personalize your AI: model Fine-Tune with your data in Azure OpenAI
  • Unlocking insights with Azure AI Content Understanding: from unstructured into actionable data
  • Attribute-Based Access Control ... not just roles in Azure access control!!
  • Don't underestimate the Azure Storage Account
Petrus Vasenius
  • Getting started with Azure Data Management Landing Zone
  • How To Secure AI Services to comply with EU AI Act in Azure
Marco Dal Pino
  • Cloud vs Edge: Navigating the AI Deployment Dilemma
  • Mastering Prompt Engineering: Enhancing AI Interactions with Effective Prompts
Shannon C. Ryan
  • Navigating the Digital Evolution: A Technologist's Guide to Thriving in the Age of Innovation
Rahul Madan
  • Data Lineage using OpenLineage for End-to-End Visibility in Azure Data Ecosystems
Francesco Bergamaschi
  • What NOT TO DO in DAX
  • Understanding DAX Pillars
  • Table Functions in DAX
  • Visual Calculations and Visual Context: the revolution that changes the way of writing DAX code
  • Understanding CALCULATE, the queen of all DAX functions
Michael Tenner
  • Is a Morally Aligned AI Our Only Chance?
  • The pitfalls of using Copilot for Power BI
Saumya Smriti
  • Unlocking the potential of Conversational agents using Microsoft Copilot Studio
Suranga Jude Nanayakkara
  • From Code to Context - Decoding the Next Wave of AI
Ayoade Adegbite
  • The Hidden Costs of Bad Data: How to Identify and Fix Data Debt
  • AI-Driven Documentation Automation: How We Made Data Documentation a First-Class Citizen in Our Work
Chris Carter
  • The AI Anxiety Epidemic: How Fear of Artificial Intelligence is Rewiring Workplace Psychology
  • Why Security is more important in the age of AI
  • "Has AI Actually F@ed With Your Mind? The Truth About AI, Your Job, and the Future of Work"
  • Life and Death Decisions for a Secured Enterprise: Navigating the High-Stakes Landscape of AI
  • "A.I. Wave's Goodbye to Junior Developers"
Marin Niehues
  • Unf*ck your mind: How to finally build something great again
  • Built to Survive: What Drug Cartels understand about organizational design
  • Congratulations, you are agile. Your product is still late.
  • AI Is Easy - until you add people: Inside the Chaos of Implementing AI
  • AI for Decision-Makers & Non-Techies: The baseline for survival
Mathias Halkjaer
  • When data lies - typical patterns for manipulating data
  • Unify your data estate with Microsoft Fabric
Oliver Glassmann
  • 5000 Years of BI - Is Business Intelligence still relevant in 2025 AD
  • A Song of Data and Governance: Uniting Rival Kingdoms
Andrea Martorana Tusa
  • Fabric API walkthrough
  • Advanced semantic models refresh automation
Sarah Wimberley
  • Strategic SWOT Mission
  • Listening to Learn, And Act!
  • Change Readiness & Management
Sarah Wimberley, Ivan Milanov
  • Crash into Agile with Ivan & Sarah
Jonah Andersson
  • The Software Developer's Guide to Remote Working
  • Gender Inequality in Tech - Why Is it a problem and How can we fix it?
  • Learned Experience from Migrating .NET Applications to Azure
Gunjan Mahindre
  • Beyond the Resume: Building a Personal Brand That Opens Doors
  • Competence and Compassion: How Women Are Redefining Leadership in Tech
  • Bridging the Gap: Complementary Data Science Skills That Drive Impact in the Industry
David Postlethwaite, Gethyn Ellis
  • Top Ten Disasters we've dealt with in our time as DBAs
Thomas Hütter
  • IoT ... cloud ... big data - let‘s start small!
  • Window functions in SQL Server - brush up your skills
Hugo Kornelis
  • Performance and execution plan improvements in SQL Server 2025
  • Normalization beyond Third Normal Form
  • Approximate functions: How do they work?
  • Here’s the execution plan … now what?
  • Execution plans ... where do I start?
David Kofod Hanna
  • Mastering Composite Models: Power BI for the Self-Service Developer
  • A Power BI Documentation System – Not Just an Afterthought