Call for Speakers
Data Saturday - Denmark - 2026
31 Jan 2026
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.
Call for Speakers
01 Jul 2025
30 Sep 2025
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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.
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Saturday 31st of January 2026 - Conference Day
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Location is yet to be confirmed, but it is going to be an in-person event in the Copenhagen area, Denmark.
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Session Details:
Session Length: 60 minutes or 15 minutes
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
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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.
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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.
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all submitted sessions
Submitted sessions
- How´s your reflex? Introduction to Fabric Data Activator
- Best Practices for Sharing Power BI Content with External Users
- Metadata Scanner API: Unlock Metdadata possibilities
- From 3 Hours to 3 Minutes: Workforce Planning in Power BI
- Build an Translytical Solution in Fabric & PowerBI
- Scaling Generative AI with Microsoft Fabric and Lakehouse Platforms
- Explaining the Unexpected: Real-time Anomaly Detection with AWS Flink and AI-Powered Interpretation
- Scenario planning with what-if parameters
- Agentic AI in Fabric
- A deep dive into Direct Lake
- When data lies - typical patterns for manipulating data
- Unify your data estate with Microsoft Fabric
- Amplify Your Experience: How to Start Writing and Speaking
- Responsible and effective use of AI for technical documentation
- Notebook to Production: A Cloud-Native CI/CD Pipeline for Machine Learning
- Don't Fear the Database: A Pragmatist's Guide to Running Stateful Workloads on AKS
- Dive into the Delta Lake
- Implementing AI Agents connected to your business data on day one!
- The Importance of Data Governance for Reliable LLMs responses
- Type-safe Data Engineering: Compile-time Data contracts & Fiber-safe Data pipelines
- Fine-Tuning & Quantization: Supercharging LLMs for Speed and Efficiency
- Agentic AI in the Wild: LLMs That Think & Act
- The Power of Saying No
- The Hidden Power of Data Modeling in Dataverse and Dynamics CRM
- Unlocking SQL Data in Dynamics CRM: Bridging Intelligence and Action
- Architecting Success with Microsoft Copilot: A Strategic Framework for Enterprise-Scale AI Product
- Migrating from SSRS to Power BI Paginated Reports
- Database Unit Testing for Data Professionals
- Database Projects and Azure DevOps 101
- Database Deployment Automation using Database Projects & Azure DevOps
- Apache Spark for SQL Data Warehouse Developers
- Query Store Basics: A DBA’s Best Friend
- Unlocking key metrics and patterns using Grafana
- Open Table Formats in Practice: Delta vs Iceberg trade-offs for performance and portability.
- Building Secure AI Agents for Autonomous Data Access
- From Spreadsheets to Smart Dashboards: Unlocking Insights with Power BI
- SQL Server on Linux vs. Windows: Key Differences and Practical Insights
- Delivering SQL Server as a Cloud Database Managed Service
- Building and Leading Successful Database Teams: Challenges and Best Practices
- Beyond Basics: Building a Production-Ready SQL Server Container Image
- Next-Gen High Availability with Contained Availability Groups
- Agentic AI: Creating Agents in Azure
- MCP Server: The Phone Catalog for AI Agents
- Low Code Medallion: Using Lakehouse Materialized views
- Vectors & AI: The Twin Engines of SQL Server 2025
- Fabric User Data Function: Write Back with Translytical Task Flows
- Upgrade SSIS packages safely
- Building a range lookup component
- Step-by-step towards building a SSIS Custom Pipeline Component
- A Unified Approach to Data: Querying Hadoop, Cloud, and NoSQL with a Distributed SQL Query Engine
- Building an Azure Data Landing Zone with Terraform
- Empowering your data platform with AI
- A scalable dataplatform starts with reusable code: Metadata to the Rescue
- Authorization By Data Classification (ABC)
- Vibing with SQL: AI in the Developer’s Seat
- Cloud vs Edge: Navigating the AI Deployment Dilemma
- Mastering Prompt Engineering: Enhancing AI Interactions with Effective Prompts
- Reimagining Ingestion for Apache Iceberg and Data lakes
- Breaking Up with ZooKeeper: It’s Not Me, It’s KRaft
- The Accidental Leader: How to Succeed When You Weren’t Planning to Lead
- I Hope I'm Not the Smartest Person in the Room
- Accelerating Computer Vision with Vertex AI and Gemini: A Practical Guide
- Building Intelligent AI Agents with Google's AI Platform
- A Comprehensive Guide to Prompt Engineering
- An introduction to Azure Quantum
- From vectors to value: practical RAG architecture explained
- The Agentic Revolution
- Star Schema ALL the things! But why?
- Setting yourself up for success when submitting to present
- Fabric Capacities, beyond the obvious
- Exploring permission boundaries in Microsoft Fabric
- Copilot in Fabric - Explained for the Administrator!
- Geospatial Data Science in Action: Optimizing Routes and Reducing Costs at Scale
- Advanced Data Science Techniques Using Geospatial SQL
- A/B Testing at Scale: Best Practices, Pitfalls, and Automation
- Battle of Time Series: SQL Server 2022 vs. ADX vs. InfluxDB vs. TimescaleDB
- Questioning My SQL Server Faith… So You Don’t Have To
- Babelfish: The SQL Server Killer?
- Data Modelling for AI-Driven BI
- Spotting and Preventing Accidental Data Misinterpretation
- Data as a Product: Rethinking Data to Deliver Real Value
- Customer-First Analytics: Power BI Dashboard for Impact
- AI with Microsoft Fabric: A Unified Data Platform for Intelligent Insights
- The 60-Minute Networking Dare (for Techies)
- Beyond Roles and Tools: The Skills That Always Move With You
- Semantic Model Optimisation: How to make your models faster
- 7 tips that'll up your PowerBI game in 15 minutes
- CI/CD in PowerBI: For when just hitting publish isn't good enough
- From Self-Taught to Fintech Engineer: Building Inclusive and Intelligent Financial Systems
- Crafting Your Personal Brand: A Blueprint for Success in Tech
- From Tech Newbie to Trailblazer: A Journey of Success in Software Engineering and Entrepreneurship
- How The Heineken Brazil Company uses Power Platform and Citizen Developers for your tech revolution
- From Code to Care: Navigating Tech, Entrepreneurship, and Motherhood
- 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
- From Factory Floor to Data Pipeline: How Toyota's Manufacturing Principles Transform Data Engineeri'
- 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
- Who's Really in Control? Monitoring & Governing Microsoft Fabric the Smart Way
- Real-Time Data Processing in Fabric: Tracking a Cycle Ride
- Leave the progress reports to the agents
- Exploring Deployment Patterns in Fabric: Best Practices and Strategies
- 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
- Lakeflow Declarative Pipelines Demystified: A Practical Guide to Delta Architecture
- 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
- Getting into Git with Power BI
- Fabric through the eyes of a Power BI pro
- Real-Time Business Intelligence with Microsoft Azure: Event-Driven Architecture & Cost Optimizatio
- Pro Data Visualization in Power BI
- Hitchhiker's Guide for Time Travellers
- Efficient Query Routing using Agentic RAG
- What's amazing for developers in SQL Server 2025
- Using Data API Builder with SQL Server or Postgres
- Women in Tech: How Power Platform is Redefining the Rules?
- Empowering Copilot with Explainable AI: Enhancing Transparency and Trust
- 10-Minute Data-Driven Problem Solving: Boost Efficiency with Power Lean Sigma Methodology
- Hiding in plain sight: the upside down smile of neurodiversity
- 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
- Getting started with Azure Data Management Landing Zone
- How To Secure AI Services to comply with EU AI Act in Azure
- Navigating the Digital Evolution: A Technologist's Guide to Thriving in the Age of Innovation
- Data Lineage using OpenLineage for End-to-End Visibility in Azure Data Ecosystems
- 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
- Is a Morally Aligned AI Our Only Chance?
- The pitfalls of using Copilot for Power BI
- Unlocking the potential of Conversational agents using Microsoft Copilot Studio
- From Code to Context - Decoding the Next Wave of AI
- 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
- 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"
- 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
- 5000 Years of BI - Is Business Intelligence still relevant in 2025 AD
- A Song of Data and Governance: Uniting Rival Kingdoms
- Fabric API walkthrough
- Advanced semantic models refresh automation
- Strategic SWOT Mission
- Listening to Learn, And Act!
- Change Readiness & Management
- Crash into Agile with Ivan & Sarah
- 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
- 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
- Top Ten Disasters we've dealt with in our time as DBAs
- IoT ... cloud ... big data - let‘s start small!
- Window functions in SQL Server - brush up your skills
- 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?
- Mastering Composite Models: Power BI for the Self-Service Developer
- A Power BI Documentation System – Not Just an Afterthought