Call for Speakers
DATA BASH '26
5 Dec 2026
Online
databash.live/
Join us for DATA BASH '26 – a global online conference dedicated to all things data within the Microsoft ecosystem!
Hosted by passionate community members, this live event will be streamed on YouTube, bringing together data professionals and enthusiasts from around the world.
All sessions must be conducted in English.
Topics Covered
DATA BASH '26 welcomes sessions on all aspects of Microsoft’s data stack, including but not limited to:
- Microsoft Azure Platform
- Excel
- SQL-Server
- Power Platform
- MS Fabric
- Big Data & Analytics
- Artificial Intelligence
We also encourage discussions on essential topics such as:
- Diversity, Equity, and Inclusion
- Data Governance
- Data literacy
- Data career
- Project management (data related)
- Succeeding certification exams
and other similar data related topics
All session levels are accepted (from Beginner to Expert).
If your session dives into data and aligns with Microsoft technologies, we want to hear from you!
Mentorship
New to speaking on bigger events (User groups do not count)? No problem! We will assign a Mentor to you for support upon request.
Submit your proposal and be part of a knowledge-sharing experience that connects data experts across the globe.
This conference is for sharing knowledge and therefore please refrain from sales-oriented sessions.
Normal sessions: 60 mins.
Lightning Sessions: 15 mins.
TIMELINE:
- Call for Speakers opens: Sept 26th 2026
- Call for Speakers closes: October 26th 2026
- Session selection feedback: End of October
- Begin of November 2026 Schedule
- Agenda going public: Mid November 2026
- Conference day: December 5th 2026
Benefits
This year, we decided to not send any swags but to donate any money we got after covering our costs to the international cancer research foundation instead.
Call for Speakers
28 Sep 2026
29 Oct 2026
IF YOU HAVE ANY QUESTIONS, JUST ASK! Contact us, we don't bite.
CODE OF CONDUCT: https://databash.live/code-of-conduct/
Everyone involved in this event must comply with our Code of Conduct.
In case of any reported violations of our code of conduct, we reserve the right to pass the name of these persons to third parties, including law enforcement, to enforce this code of conduct and the safety of any other speaker or attendee. Conference participants violating these rules may be expelled from the conference at the discretion of the conference organizers. Speakers or attendees banned from other events may be refused to participate at the discretion of the organizing team.
GENERAL SESSIONS:
Open for all sessions related to the Microsoft Data & AI Platform, in all possible flavors. From more traditional DBA and BI topics, to modern data topics like data lakehouses, data virtualization and Large Language Models.
Non-tech sessions, contributing to a better and more diverse community, are welcomed with open arms. Think Mental Health for IT Pros, Imposter Syndrome, Amplifying Diversity & Inclusion, Career & Personal Growth.
This conference is for sharing knowledge and therefore, refrain from sales oriented sessions.
All general conference sessions are 60 minutes long (including at least 5 minutes of Q&A), and allocated to a track by the organizing team.
NEW SPEAKERS:
We genuinely encourage any new speaker to submit a proposal as a newcomer. As an easy guideline, new speakers are people who have not yet presented at a SQL Server / Azure / Power Platform etc. conference. User Group sessions, webinars and client/team presentations are not taken into account for this categorization.
Each new speaker will be paired with a buddy/mentor, who will provide them with highly valuable tips & tricks. Moreso, we'll provide new speakers with all assistance they need and want whilst preparing for their debut.
Submitting as a new speaker, means you agree to meet with your buddy/mentor and collaborate on your session.
SUBMISSIONS
Three submissions are allowed per speaker. Up to three co-speakers are allowed per session submission. Submitted sessions are viewable publicly on the Sessionize platform. More than one submitted session may be accepted into the conference agenda.
BROADCASTING
The conference will be broadcasted live to YouTube, LinkedIn and Twitter and possibly other channels.
After the event, the recordings will be published.
A few recordings may be used for marketing the next event if the speaker has agreed to this.
all submitted sessions
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Submitted sessions
- Upgrading Skills: Moving from Dataflows Gen2 to PySpark Notebooks
- Grounding Data Agents: From Power BI Models to Ontologies
- RTI for Power BI Developers: What You've Been Missing
- Building Governed, AI-Ready Lakehouses on Azure and Databricks
- SQL Server Availability options in the year 2026
- 42 TSQL Functions
- Scaling Clustered Column Store Indexes
- Is This Store Trading? A Data Definitions Failure Story
- Context Is the New Code: A Second Brain for Agentic BI Development
- Why It's Time to Take Databricks AI/BI Seriously
- Becoming a Geni(e)us: How to get the most out of Databricks Genie Spaces
- From Manual Data Quality Checks to AI-Assisted Governance: What Actually Works?
- Copilot to the Rescue -Simplifying DBA tasks in SSMS 22
- Building Generative AI Solutions with SQL Server 2025
- Azure SQL Database, a great alternative to SQL Server Express or Standard Edition
- Power BI Meets GitHub: Automating CI/CD Workflows and Collaboration
- The Power of F2: What You Can (and Can’t) Do with Microsoft Fabric’s Smallest Capacity
- Beyond Version Control: GitHub Actions for Power BI Development
- Fabric IQ Without the Hype: Where an Ontology Pays Off and Where It Doesn’t
- Cost-Aware LLM Pipelines: Tokens, Batching, and When Not to Use a Model.
- Thinking With AI: Why Data Judgment Matters More, Not Less
- The Function of Windowing Functions
- Finding the Right Data Types
- Don’t Feed the Bot Junk: Making Microsoft Fabric Data AI-Ready
- Metadata-Driven Ingestion in Azure Data Factory
- AI-Powered Reporting with Copilot in Power BI
- When Two Systems Are Both Right but the Numbers Still Don’t Match
- Load Date, Business Date, or Snapshot Date? Why Reporting Teams Need All Three
- Stop Checking Every Row: Build BI Around Exceptions
- Nobody Changed the Report. So Why Did the Number Change?
- Why Big Tech Wins at Data Engineering (And Why Others Struggle)
- The Housing Intelligence Engine: Large-Scale Real Estate Analytics with Apache DataSketches
- The Hidden Cost of Bad Prompts: A Practical Guide to Prompt Engineering for Data Professionals
- Will AI Replace Us or Raise Us? The New Landscape for Data Professionals and Consultants
- AI Won’t Replace You - But It Will Change How You Work
- Deep dive into Power BI theming: from modern defaults to custom JSON
- Power BI for beginners: Build your first report in one hour
- 10 tips to build an end-user friendly dashboard
- 10 AI-prompts any PBI developer should know
- From Data Pipelines to AI-Ready Data: Building Reliable Cloud Data Platforms
- Building Reliable Data Infrastructure for Enterprise AI
- You Already Understand Prompt Caching (If You’ve Ever Tuned a Database)
- A Control Plane for LLMs: Building a Gateway with Rate Limiting, Fallbacks and Model Routing
- AI Guardrails in Practice: Keeping Cloud-Native AI Systems Safe
- Where Are the Rules Written? A Non-Linear Path into AI Engineering
- From Big Data to Generative AI: Engineering at Enterprise Scale
- Microsoft Fabric Workspace Strategy: The Good, The Bad, and The Sprawl
- Building Trustworthy Data Agents in Microsoft Fabric
- Women are the Innovation Engine for Critical Technology
- Stop developing Power BI in Production
- SQLSQL Server 2025 New Feature Lessons Server 2025 New Feature Lessons from the fields unleashed .
- Intelligent Query Processing in SQL Server 2025 next Gen the fast track!
- Essential Concepts of Vector Databases for DBAs with SQL server 2025
- Securely unleash AI Agents on SQL Server, PostgreSQL and Oracle
- Stakeholder Chemistry: Decode Your Audience, Design Better Reports
- From Chaos to Clarity: The Design Principles Every Power BI Report Needs
- Alt Text Made Simple: A Guide for Power BI Developers
- Power BI Prime Directive: Prepare Before You Build
- AI Won’t Fix Your People Problems: The Human Side of Performance in a Changing Workplace
- Read It Back: Four Write Checks for an AI Agent in a Portal It Can't Change
- Embed a Power BI Report in 15 Minutes
- Inside Power BI Embedded: Building Analytics Apps with the REST API
- Power BI Embedded: What It Is, Why It Matters, and Where You Can Use It
- SQL Server on KubeVirt: What Could Possibly Go Wrong?
- New features in SQL Server 2025
- The Burrito Bot: AI-Powered Search in SQL Server 2025
- Before Your AI Agent Gets Access: Securing Enterprise Data with Microsoft Entra and Purview
- Give Copilot the context: Practical prompting for restricted environments
- Inside Microsoft Copilot Cowork: From Prompts to Finished Business Outcomes
- Power BI Live: From Prompt to Report in Real Time
- Vibe Engineering: Building Software at the Speed of Thought
- Applications with Azure AI Foundry
- Wireframe to Report: A Practical Power BI design workflow
- Buttons, Levers, and Dials: What to Do With Key SQL Server Settings!
- Practical Wins with Modern SQL Server Performance Features
- Leveraging Query Store for Improved Performance
- Getting Your Data Ready for AI: From STRATA to Microsoft Fabric
- SQL Server 2025: The Developer’s Revolution
- Making Your SQL Platform Faster and Smarter with Azure SQL, Fabric and Copilot
- When SQL is correct, but your metrics are wrong
- Dashboards as Code: DevOps Meets AI/BI on Databricks
- Genie in a bottle: An introduction to Conversational BI on Databricks
- The KPI Trap: When Measuring Performance Hurts Decisions
- Inside Microsoft Copilot Cowork: From Prompts to Finished Business Outcomes
- Inside Fabric IQ: Building Ontologies and Ontology Agents in Microsoft Fabric
- From Search to Care: Build a Healthcare Discovery Agent on Azure
- From Prototype to Production: Deploy and Observe AI Agents on Azure
- Talk to Your Data: Build an AI Data Analyst with Microsoft Fabric
- Beyond RAG: Build Evidence-Grounded AI Agents with Azure AI Search
- Who is AI being built for? The missing Women in Product Design
- The Last Mile of Agentic AI: Designing Context-Aware Systems for the Frontline
- Agentic BI: How Fabric Data Agents Bring Plain-English Querying to the Modern Lakehouse
- Beyond Query Execution: Workload Isolation Lessons from a Cloud Data Warehouse
- From Data to Meaning: How Microsoft Fabric IQ Grounds Enterprise AI
- Capturing Query Plans – Trace or X-events
- Introduction to Regular Expressions in SQL Server
- Dynamic Search Conditions - SQL 2025 Edition
- Don’t Let Your Permissions Be Hijacked!
- Your Data Is Talking. Is Your AI Listening?
- Power Platform + AI: Five Real Solutions You Can Build This Week
- From Copilot Curiosity to Business Value: An AI Adoption Playbook for Enterprise Success
- The Modern Data-to-AI Pipeline: Building AI-Ready Foundations with Microsoft Fabric
- Excel Transformer - From Excel Forms to Modern Data Solutions
- Measuring Match Quality Before Your Data Reaches a Model
- When a Late Correction Turns Two Patients Into One
- Your Synthetic Patients Are Too Easy to Match
- Who Owns the Match Rule Behind Your Golden Record?
- The Human Latency- Mitigating Algorithmic Fatigue in AI-Driven Workforces
- The Collaborative Pipeline- Building Low-Latency Human-in-the-Loop Supply Chains
- AI + HI = The Symbiotic Future - Why the Best Technology is Nothing Without the Human Element
- Shaping the Future of AI: Ethics in a World of Constant Change
- The What, Who & Why of Consent Management
- Three Lessons from a Woman in Enterprise Architecture
- Everybody wants an Agent. Now What?
- Copilot in Excel: From Chaos to Insights
- Advanced Label Engineering: Deep-Dive for Security Admins
- Bursting the AI bubble
- Engineering Greener Software
- Navigating the AI Transformation of Data Platform Product Management
- Modernizing Enterprise Data Platforms with Kafka and Near Real-Time Streaming
- When Data Platforms Become Agentic: What Product Managers Need to Know
- Designing Trusted Agentic AI for Enterprise Data Platforms
- When Enterprise Data Meets AI: Where Governance Breaks and How to Fix It
- How AI can be your personal Power BI Trainer
- A Playbook for Generating IBCS-Inspired Reproducible Fabric Apps for Controlling and Finance
- What's new in MS SQL for developers?
- JSON in the world of MSSQL
- Regular expressions in SQL Server 2025 - a deep dive
- The Agent Changed My Power BI Report. Can I Trust the Result?
- Green KPIs, Red Profits: Storytelling When the Business Disagrees
- Full Of Dashboards, Out Of Stock: Write-Back For Supply Chain Decisions
- AI Wrote It. Can Your Team Explain It? Sustainability in AI-Assisted Data Teams
- Beyond Technical Skills: The Human Readiness Gap in Data Careers
- GraphQL with Materialized lakehouse views - a match made in heaven
- Fabric IQ and the Ontology - A no-code approach to governing your data
- The AI Decision Map: How to choose the right AI Projects to better your odds of AI Success
- From Data to Impact: How Data Teams can evolve in the AI era
- Stop Building AI Demos: How to Ship LLM Features People Actually Trust
- From Dashboards to Conversations: How Conversational AI Tools Are Redefining Data Access
- Optimizing Analytic Performance with Columnstore Indexes
- Automatic Index Compaction: Finally Freeing Us from Index Maintenance!
- Storing Vector Embeddings in the Microsoft Data Platform
- Make your DAX UDFs work for you
- When Dataflows Die: Migrating from Power BI Dataflows to a Proper Data Engineering Layer
- Beyond the Export Button: Helping Business Users Move Away from Excel Exports in Power BI
- When Everyone's is a Power BI "Owner": Navigating through chaos of Enterprise Self-Service BI
- Fighting a 20-Year-Old Legacy System: A Real-World Power BI Migration Story
- Adapt or Be Automated: Continuous Learning in the Age of AI and Data Engineering
- I Read Fifty Resumes an Afternoon: What Actually Gets a Data Engineer Hired
- How Data Engineers Can Start Architecting with Agents
- Silent but Deadly -- Hidden SQL Performance Assassins
- Leadership Essentials for Data Teams
- Audit-Ready SQL Server: Building GxP and 21 CFR Part 11 Compliant Data Platforms