Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
in 116 days

Data Saturday #49 - Denmark - 2025

event date

8 Feb 2025

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.

finished 14 days ago
Call for Speakers
Call opens at 12:00 AM

25 Aug 2024

Call closes at 10:00 PM

30 Sep 2024

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 8th of February 2025  - 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

publicly listed on this page
203 submissions
Submitted sessions
Rune Ovlien Rakeie
  • Cracking the Code: Unlocking the Power of Prompt Engineering
  • Secure your data with Private Networking
Amy Herold
  • Securing Your Data in Microsoft Fabric: Best Practices and Strategies
Julia Førde
  • Managing the Common Data Model in Azure Data Lake Through Azure Synapse Link
  • Databricks an introduction
  • Taking your lakehouse to the next level with template-based notebooks
Kevin Chant, Pragati Jain
  • Validating your Microsoft Fabric knowledge in 2025
Grímur Sæmundsson
  • Fabric and Azure OpenAI playing nicely together
Kevin Chant
  • Microsoft Fabric Git integration - The good, the bad and the Azure DevOps or GitHub decision
  • Microsoft Fabric and GitHub - The story so far
Kevin Chant, Frank Geisler
  • Professional DP-700 exam guide for Fabricators
Marc Lelijveld
  • Changing the way how we interact with data in the Era of AI
Torsten Strauß
  • Parallelism in Azure SQL
  • Memory Grant in Azure SQL
  • Create a YAML CICD Pipeline for Azure SQL Database
  • Azure Bicep fundamentals
  • Monitor your SQL databases with Azure Alerts created from a Bicep template
Alexander Klein
  • 20 minutes Generative AI and a Data Engineer
  • How generative AI makes your life as a data engineer easier.
  • Power Automate 101
show all submissions
Alexander Klein, Frank Geisler
  • Talking about physical health - Blood sugar: the underestimated danger
Ásgeir Gunnarsson
  • Fabric Workspace Management
  • Find the Spark as a SQL data warehouse developer
  • How´s your reflex? Introduction to Fabric Data Activator
  • Top 5 reasons for Power BI folks to use Fabric
Yakang Xu
  • Mission Impossible: introduce data fabric & self-service to business team w only PowerBI in 6 months
Peter Kruis
  • SQL Bad practices caught in the wild
  • An introduction to Extended Events
Tonie Huizer
  • Enable Self-Service Provisioning of Versioned Databases from Azure DevOps
Tonie Huizer, Peter Kruis
  • How to use AI, in your professional and personal life
Tonie Huizer, Tony Davis
  • Amplify Your Experience: How to Start Writing and Speaking
Benni De Jagere
  • Copilot in Fabric - Explained for the Administrator!
  • Asking questions to get meaningful answers
  • Using Lakehouse Data at scale with Power BI, featuring Direct Lake mode
  • Understanding Fabric Capacities
  • Star Schema ALL the things! But why?
Hugo Kornelis
  • Five stages of grief - internals of a hash spill
  • T-SQL User-Defined Functions, or: How to kill performance in one, easy step
  • Here’s the execution plan … now what?
  • Execution plans ... where do I start?
  • Approximate functions: How do they work?
Traci Sewell
  • Talking about mental health - For you and for them
Danny Kruge
  • Unlocking the Power of Optimization in Azure Data Factory
  • Danny and the Data Factory
  • WTF (What The Fabric)
Joakim Nilsson
  • Knowledge Graphs improve GenAI — validating results builds trust for organizations
Bart Vernaillen
  • How datatypes influence memory grants and CPU usage.mory grants
Arne Bartels
  • SSIS ScriptComponents are not that bad
  • Step-by-step towards building a SSIS Custom Pipeline Component
  • Upgrade SSIS packages safely
Henri Schulte
  • Democratize Fabric data with AI Agents - Combining Semantic Kernel and AI Skills
Paula García Esteban
  • Unlocking Data Insights: A Deep Dive into User-Centered Power BI Report Design
Roman Tesolkin
  • Turning Data into Influence: Lessons from Disney+ Inspired Visual Storytelling in Power BI
  • Govern Less, Empower More: Decentralizing Data Governance with Power BI
  • From Ancient Maps to Power BI: The Visual Revolution in Data History
  • Sky Analytics: Turning Raw Drone Logs into Visual Stories with Power BI
Francesco Bergamaschi
  • Understanding DAX Pillars
  • What NOT TO DO in DAX
  • Visual Calculation vs Measures in Power BI: which to choose, when and why
  • Understanding CALCULATE, the queen of all DAX functions
Tomasz Kostyrka
  • From B-Trees to V-Order. Told differently than usual.
David Postlethwaite
  • Top Ten Disasters we've dealt with in our time as DBAs
Emilie Lundblad
  • Building Trust: Implementing Responsible AI in Azure Machine Learning and Azure OpenAI Services
Marnix Jansen
  • Visualize data effectively using science-backed principles
  • Simplifying Power BI Analysis with DAX Window Functions and Visual Calculations
Gethyn Ellis, David Postlethwaite
  • Mastering Impactful Presentations: Captivate, Inspire, Succeed
  • Moneyball – Build a killer Fantasy Football Team with Power BI
  • Data Leadership: Navigating Security, Governance, and Ethical Decision-Making in the Digitial Skies
  • A Step-by-Step Guide to Building a Data-Driven Culture
  • Auditing Azure SQL Database with Log Analytics- How, where and what
Håkan Silfvernagel
  • The smart journey to powerful apps: Let Copilot be your guide
  • How to enhance your own AI services using Semantic Kernel
Andrea Martorana Tusa
  • Power BI Scanner API: full-tenant scan of your metadata
  • Tenant Manager: monitor your environment with API and Logic Apps
  • Playing with Azure AI services and Power BI
  • Implementing a Role Based Access Control setup in Azure Synapse Analytics
Surya R
  • Wrangle Words Like a Wizard: Automating NLP Workflows with Azure ML
  • Mistakes I made while navigating a career change into Data Science
Just Blindbæk, Christian Henrik Reich
  • Mastering Metadata-Driven Lakehouse with Microsoft Fabric
Reitse Eskens
  • Choosing the Azure SQL DB tier, tales from the trenches
  • Let your Fabric work! Loadtesting large amounts of data
  • How an attendee became a speaker
  • Azure SQL Copilot, what the query is this!?
Augustin Dokoza Bukvic
  • Ambush Assassins: Secret killers of your Power BI performance and how to deal with them
Bjørn D. Jensen
  • Create your own Decision Intelligence Agency on Open Data with Synapse!
Chris Hyde
  • Tips and Tricks for Microsoft Fabric Data Warehouse
Bob Duffy
  • Replacing your ADF Pipelines with Notebooks in Fabric
  • Financial Modelling with Power BI
  • From SSIS to Synapse to Fabric - A Data Architects Case Study
Christian Henrik Reich
  • Setting up Fabric Capacities in Azure: How to and considerations
  • ML and AI Capabilities in Microsoft Fabric
  • An Apache Spark query's journey through the layers of Microsoft Fabric
David Kofod Hanna
  • Practical Tips for Unleashing the Power of Introverts
  • Mastering Composite Models: Power BI for the Self-Service Developer
  • 20 Power Query (M)agic Tips That Every User Should Know
  • The Bookmark Killer: Mastering When and How to Use Bookmarks in Power BI Reports
Daniel Hutmacher
  • Window to Success: Mastering SQL Server Window Functions
  • From substitutions to public keys - an introduction to cryptography
  • ACID in SQL Server: what it is, how it works, and how to live more adventurously.
Abhinav Jayanty, Thomas Sykes
  • Kusto: Diving For Insights in the Data Ocean
Niall Langley
  • 5 Tips and Tricks to Make You a Wizard in Your Terminal
  • Turbo Charge your Lake House with Spark Streaming on Azure Databricks
  • What New in Delta Lake - Deep Dive?
  • Introduction to Performance Tuning on Azure Databricks
Lars Andersen
  • Learn how to promote and reuse key metrics from your semantic models across your organization
Bas Land
  • Analysing 4 billion rows of data using Power BI DirectLake and Fabric
  • Don't Repeat Yourself, how custom Python modules in Microsoft Fabric give you back hours every day
  • Your first Microsoft Fabric Lakehouse implementation
Frank Geisler, Rune Ovlien Rakeie
  • IaC Thunderdome: Bicep vs. Terraform!
Erwin de Kreuk
  • Designing and managing a cost-effective data platform in Azure Synapse Analytics
  • The Crucial Role of Data Quality in Your Data Estate
  • Microsoft Fabric: Building a Data Ingestion and Processing framework to Drive Efficiency
  • Onelake with Fabric, The Data Lake-as-a-Service Platform
  • Microsoft Purview what does this mean to me as an organization?
Ben Watt
  • Power BI report designs and features that drive positive Customer feedback
  • Power BI Deployment, Workspaces, Apps - getting it right
  • Going out on my own - a story of starting a business
Thomas Hütter
  • IoT ... big data ... cloud - let‘s start small!
  • From SQL to KQL via Azure Data Explorer
Miguel Félix
  • Simplifying Data Analysis with Power BI Visual Calculations
  • Direct Lake in Fabric: Pushing the Boundaries of Semantic Models Beyond Import and Direct Query
  • Power BI Developer Mode - Is it for me?
  • The Great Guardrail Adventure: Power BI and Direct Lake in Harmony
Miguel Félix, João Marcelino
  • From Excel to Power BI: the journey that shapeshifted my life
Abhinav Jayanty
  • Leveraging Knowledge Graphs in Neo4j to Power Up Your LLMs!
  • The Art of Conference Speaking Without Knowing Anything
  • The Sixth Sense: Using Log Analytics to Efficiently Monitor Your Azure Environment
  • Moneyball: How Data and AI have Revolutionised Analytics in Sports
José Calheiros, Diogo Martins
  • Power BI Data Security: Safeguarding your Dataset with Dynamic Object-Level Security
Aldan Creo
  • Knowledge Graphs + LLMs: new horizons for AI!
Anurag Kale
  • Visualising Data Mesh: A Paradigm Shift in Data Management
Andrew Pruski
  • Running SQL Server on Linux
  • Disaster Recovery Strategies for SQL Server
  • A deep dive into Kubernetes
  • A deep dive into Docker
Marius Skovli
  • Securing the Crown Jewels: Advanced PAM Solutions for Azure, M365 and your Hybrid Cloud
Yemurai Rabvukwa
  • Wobbly Careers Are the New Norm and the Importance of Lifelong Learning
David Söderlund
  • dbatools in docker - with a rest api
Dhyanendra Singh Rathore
  • Enforcing Power BI Best Practices with Azure DevOps
Anesu Makwasha
  • Designing Beyond Limits: A Tale of Tech, Design, and Triumph
  • Avoiding Common Pitfalls in AI/ML Design
Ville Gullstrand
  • Wow, Power BI can really do that?!
  • How to fail with Power BI
  • How I analyzed Trackmania in Power BI
Kim Berg
  • Productionize Machine Learning on Azure
  • Meet Your New AI Besties: AI Agents
  • Innovating with Azure AI: A World of Possibilities
Monika Rajput
  • Unlock Data engineering with AWS Services
  • Guardrails to accelerate deployments. What? Well, here is how!
Manai Mortadha
  • Unlocking the Power of AWS Generative AI: Practical Use Cases and Future Trends
Greg Strzyminski
  • Elevate the art of possible with the new card and slicer visuals
  • Level up UX by leveraging advanced DAX
  • Implementing VLS (Visual-Level Security) in Power BI
  • Simplify your DAX with window functions
Olivier Van Steenlandt
  • Migrating from SSRS to Power BI Paginated Reports
  • Database Unit Testing for Data Professionals
  • Database Deployment Automation using Database Projects & Azure DevOps
  • Database Projects and Azure DevOps 101, From Zero to Hero
Grzegorz Sztandera
  • The IT Project in court - witness testimony
  • DevOps Bootcamp - how to optimize DevOps in the long term
Andrew Madson
  • Building and Scaling Analytics Products
  • The Who, What, and Why of Data Lake Table Formats
  • AI Ready Data with Apache Iceberg: Unifying, Controlling, and Optimizing Your Data for Effective AI
  • Accelerate Your Analytics with SQL Server + Data Lakehouse
Hande Kürtür Arıbaş
  • An Introduction to Apache Iceberg on Azure
Just Blindbæk
  • Optimizing Fabric: A Deep Dive into Workspace Management
  • Transforming Data into Gold: A Live Demonstration of Microsoft Fabric Lakehouse
  • Demystifying the Data Lakehouse in Fabric
Erland Sommarskog
  • Dynamic Pivot – Making Columns out of Rows
  • Deadlocks – Analysing, Preventing and Mitigating
  • All You Wanted to Know About Collations
Nikos Delis
  • How to monitor and manage a farm of robots using Azure IoT & Digital Twins
Mihail Mateev
  • Empower Microsoft Fabric solutions using Generative AI on top of data in Fabric.
  • Empower OpenAI with Vector Search for Optimal Performance and Cost Reduction
  • Building IOT Solutions with Cosmos DB and Power Platform
  • Microsoft Fabric Real-Time Analytics for IoT : Activating and Alalyzing IoT Device Reflex Data
  • Deep Dive into Predictive Analytics using Azure Open AI GPT-4 Turbo models with Vision
Jon Vöge
  • Empower your Power Apps with Stored Procedures in Fabric Data Warehouse
  • Mastering APIs low-code style with Dataflow Gen2
  • Setup Data Driven Alerts on any data point in Power BI with Power Automate
  • From Data Analyst to Analytics Engineer with Microsoft Fabric
  • OneLake & Dataverse: How to integrate the two platforms
Thorsten Kansy
  • SQL Server 2022: Best practices
  • SQL Server 2022 innovations for developers
Sally Dabbah
  • Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric
Frank Geisler
  • Exploring Graph Semantics in Fabric Real Time Analytics: Unveiling Insights through Connected Data
Monica Bagga
  • Real Time Intelligence in Microsoft Fabric
Sai Prudhvi Neelakantam
  • How to successfully deploy Advanced AI models on Azure Cloud?
  • Medallion in Fabric: End-to-End Use Case
  • Near-Real-Time Object Recognition using Azure AI and Microsoft Fabric
Pieter Vanhove
  • Confidential computing with Always Encrypted using enclaves
  • Bringing the Power of Blockchain to SQL with Ledger
Philip Seamark
  • Analytics at the speed of Direct Lake
  • Debug DAX like a PRO
  • Optimising DAX fusion - Power BI
S.I Ohumu
  • Data Analysis for those with mental health challenges
Valerie Junk
  • Storytelling & Power BI - Creating Power BI reports that connect with different audiences
  • Paint it Black: Rocking Dark Mode Dashboards
  • Dashboard Design - The icing on the cake
  • Power BI – Designing for Accessibility
Michał Dębski
  • Power BI Compass: Navigating between PBI Governance and Data Transformation
  • Power BI Monitoring: From PBI REST API through DWH and back again to PBI
Dieter Gobeyn
  • Optimizing Email Triage Using Azure AI Language Studio and Logic Apps