Call for Speakers

in 6 months

Data Saturday Oslo 2026

event date

29 Aug 2026

location

Campus Fjerdingen, Chr. Krohgs gate 32 Oslo, Norway

website

datasaturday.no


Data Saturday Oslo is a training event for professionals who use data platform capabilities either on-premises or in one or more of the 3 major public clouds Amazon Web Services, Microsoft Azure or Google Cloud.

Data Saturday Oslo is an event run by volunteers from the #datacommunity/#sqlcommunity for the community. Our event will strive to offer content across data management, cloud and hybrid architecture, analytics, business intelligence, AI, and more.

open, 42 days left
Call for Speakers
Call opens at 12:00 AM

26 Jan 2026

Call closes at 12:00 PM

31 Mar 2026

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

We welcome submissions covering the 3 major public clouds - AWS, Azure and GCP in addition to topics for on-premises and hybrid environments.

On Friday we have a full day workshop (training day) and on Saturday the session length is 60 minutes.

DataSaturday Oslo strives for diversity and transparency. You can read our CoC here.

Our venue is commonly accessible.

We welcome any and all sessions on data as described above, and we want you as a speaker to know that we will additionally give precedence to the following in our selection process:

  • 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 


Since this is a free event for the attendees and the event is run by volunteers in their spare time we are not in a position to reimburse travel expenses for, or pay our speakers.

Please note that this is an in-person event. Remote sessions will not be considered.


all submitted sessions

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81 submissions
Submitted sessions
Shubhangi Goyal
  • Wireframe to Report: A Practical Power BI design workflow
  • Data Modelling for AI-Driven BI
  • Accelerating the BI Development Lifecycle with AI
  • Customer-First Analytics: Power BI Dashboard for Impact
Juliana Smith
  • Ethos, Pathos & Logos: Aristotle’s Lesson for Ethical Data Design
  • Ethical Storytelling: Keeping Your Visuals on the Right Side of Truth
  • What Has Power BI Got to Do with the European Accessibility Act?
Fabiano Amorim
  • 13 optimizer statistic problems you didn’t know you had
  • Future-Proofing SQL Server: Performance, HADR and Innovations on 22 and 25
  • Your MSSQL environment is vulnerable and I can prove it
  • Hacking MSSQL on Cloud. All of them. How I became sysadmin on Azure, AWS, GCP and Alibaba.
  • Exploring the new performance "bugs", I mean, "features" of SQL2022 and SQL2025
Frank Geisler
  • Better Together: Practical Patterns for Combining Microsoft Fabric and Databricks
  • Advanced Timeseries Analytics and Anomaly detection in Fabric Realtime Intelligence
  • Releasing the Potential of Microsoft Real-Time Intelligence through AI Agents
Frank Geisler, Hanna Schwab
  • Fabric IQ Explained: Turning Insights into Intelligent Action
Ola Hallengren
  • SQL Server 2025 performance improvements: real-world production experience
Els van Vessem
  • How are your workitems and pipelines doing? Reporting on Azure Devops
  • Git for data professionals
  • Backlogs, bureaucracy, and breakthroughs: Implementing Scrum in the public sector
Peter Kruis
  • Query Store Basics: A DBA’s Best Friend
Kristian Johannesen
  • Accelerating your migration to Databricks
  • Databricks Semantic Models
  • Master Governance in Databricks Unity Catalog
Štěpán Rešl
  • What Retro Games Taught Me About Microsoft Fabric
  • Orchestration best practices in Microsoft Fabric
  • Tenant Observability & Automation: Capacity Metrics, Log Analytics, Scanner API and Python
  • Level-Up your Power Query game with Custom Functions
show all submissions
Vladimir Afanasev
  • Resurrecting Lost Data: Mastering SQL Server's Transaction Logs and Row Internals Secrets
Ana Voicu
  • When Good Isn't Good Enough: How Statistics Reveal the Real Story in Data
Oskari Heikkinen
  • User Data Functions: Development, Testing, and Integration
Marin Niehues
  • AI Is Easy - until you add people: Inside the Chaos of Implementing AI
  • Congratulations, you are agile. Your product is still late.
  • Unf*ck your mind: How to finally build something great again
Mladen Prajdic
  • SQL Server 2025 Vector Data Type and AI Models
  • SQL Server 2025 Optimized Locking
  • SQL Server Accelerated Database Recovery
Erland Sommarskog
  • Dynamic Pivot – Making Columns out of Rows
  • Dynamic Search Conditions - SQL 2025 Edition
  • Introduction to Regular Expressions in SQL Server
  • All You Wanted to Know About Collations
Hugo Kornelis
  • Improve your Database Performance in Seven Simple Steps
  • Five stages of grief - internals of a hash spill
  • Has Microsoft fixed bad parameter sniffing?
  • Here’s the execution plan … now what?
  • Execution plans ... where do I start?
Omer Colakoglu
  • Building an AutoML Pipeline for Vector Data in Azure SQL
  • Chat with Azure SQL
Kev Chant
  • The ultimate CI/CD showcase for Microsoft Fabric
Veronika Heimsbakk
  • From Data Engineering to Knowledge Engineering in the blink of an eye
Manuel Jimenez Tress
  • Why Digital Transformations Fail & How to Make them Work
Geir Alstad
  • Taming semi-structured chaos with Databricks variant types
Andrew Pruski
  • New features in SQL Server 2025 (that aren't AI)
  • The Burrito Bot; AI-Powered Search in SQL Server 2025
David Postlethwaite
  • Mirror, mirror on the wall, who can sync their data best of all
Marilina Trevisan
  • Garbage in, hallucinations out: designing data for GenAI agents
Ioannis Philippides
  • Upstream First: Why 80% of Power BI Performance Is Won Before the Model Exists
  • The KPI Trap: When Measuring Performance Hurts Decisions
Ynte Jan Kuindersma
  • Supercharge Power BI with the Power BI REST API
  • Model like a star - starschema 101 - UK
Bianca Stratulat, Zoe Booth
  • Geospatial + AI with SQL: From Public Data to Maps Using Just SQL
  • SQL Is Still Your Superpower: Build an End-to-End Data Pipeline Using Only SQL Production Ready
  • AI and SQL? Yes! Enable AI Using Only SQL Functions
Bianca Stratulat
  • From Individual Contributor to Data Leader: The Skills No One Teaches
  • Fabric + Databricks + Power BI: Making the Integration Actually Work
Brian Bønk
  • Architect your agents and save money
  • Auto Govern your Semantic Models with Semantic Link Labs
  • GraphQL with Materialized lakehouse views - a match made in heaven
Magnus Ahlkvist
  • How implicit conversion ruined my day
  • Everything you need to know about Temporal Tables
  • SQL Server indexes - the basics and beyond
John Martin
  • Agentic AI, the modern spinning jenny?
  • Anatomy of cloud migration and modernisation
  • Ephemeral environments with AWS Database Services
Reitse Eskens
  • SQL 2025, SSMS 22 and Fabric. And they mirrored happily ever after?
  • SQL Copilot, what the query is this!?
  • How an attendee became a speaker
  • Loadtesting Fabric II, the sequel
  • Fabric SQL, can I have some more databases please?
Endika Pascual
  • Event-Driven Data Vault in Microsoft Fabric: From Stream to Structure
  • Accelerating Data Vault 2.0 in Microsoft Fabric with Metadata-Driven Automation