Call for Speakers
DATA BASH '25
27 Sep 2025
Online
databash.live/
Join us for DATA BASH '25 – 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 '25 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!
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 refrain from sales-oriented sessions.
Normal sessions: 60 mins.
Lightning Sessions: 15 mins.
TIMELINE:
- Call for Speakers opens: May 13th 2025
- Call for Speakers closes: July 3rd 2025
- Session selection feedback: Mid July 2025
- Schedule announcement to public: Early August 2025
- Conference day: September 27th 2025
Call for Speakers
13 May 2025
03 Jul 2025
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
- AI-Driven Anti-Cheat Systems: Transforming Online Gaming with Real-Time Analytics
- Mastering CI/CD Pipelines for Faster, Secure, and Higher-Quality Software Delivery
- The Future of AI: Leveraging Serverless Computing for Scalable, Cost-Effective ML
- AI-Driven Cognitive Retail Modernization: Revamping Legacy Systems for Better CX
- Real-Time AI for Financial Claims Processing: Architecture and Implementation
- Transforming Enterprise Data Infrastructure: IaC Best Practices for Cloud-Native Platforms
- Making Power BI Run Faster!!!
- How Blockchain and Crypto Are Rewriting the FinTech Playbook
- Business Development for Social Impact: Growth Through Purpose and Innovation
- Distributed SQL: The Convergence of Relational Consistency and Cloud-Scale Performance
- Provision your database sandbox to then access it from Power BI
- Explore resources to get ready to pass the PL-300 exam
- Ingest data into Power BI from a website
- Building Scalable, Robust Machine Learning Systems: Essential Tech & Practices
- Writing back into the source from Power BI report using Power Apps
- Pixels with Purpose: SVG Visuals for Powerful Insights
- Data Guardians: The Critical Role of DBAs in Modern Healthcare
- Confidence in the Age of Data: Empowering Diverse Voices in Tech Analytics
- Dashboard Design - The icing on the cake
- Power BI - This is Not an Art Project
- Power BI Conditional Formatting – Highlight What Matters
- The Future of AI in Healthcare: Emerging Trends and Breakthrough Innovations
- AI-Driven 5G Android Architecture for Ultra-Low Latency Applications
- Understanding DAX Pillars
- Visual Calculations and Visual Context: the revolution that changes the way of writing DAX code
- Understanding CALCULATE, the queen of all DAX functions
- What's New In SQL Server For The Developer
- How To Tune A Multi-Terabyte Database For Optimum Performance
- Azure Data Factory (ADF) - Your New SSIS
- Microsoft Fabric Git integration - The good, the bad and the Azure DevOps or GitHub decision
- Microsoft Fabric and Azure DevOps - The story so far for 2025
- Reducing Hallucinations in LLMs: Cross-Verification as a Strategy to Improve Accuracy
- Generative AI in Finance: Applications, Growth, and Ethical Challenges
- Securing Autonomous Vehicles: Integrating Security, Observability & Edge Computing
- Governance Strategies for Fabric Workspace-, Item- and Data Access
- Fabric Write-Back & Data Manipulation with Power Apps and Fabric SQL Databases
- Native Write-Back in Fabric: How to build Translytical Task Flows for Power BI
- Building Resilient Retail Supply Chains with Event-Driven Architecture
- Building Responsible AI Solutions for Credit Risk and Financial Planning in Emerging Economies
- Unlocking ROI: Maximizing the Impact of AI, Data, and Automation Across Your Organization
- 10-Minute Data-Driven Problem Solving: Boost Efficiency with Power Lean Sigma Methodology
- 3 ways to improve the relationship with your internal customers/stakeholders
- Improving BI User Experience in Corporate Environments: Practical Strategies That Work
- Transforming Threat Intelligence with LLMs, AI Agents & RAG for Scalable Defense
- Beyond Version Control: GitHub Actions for Power BI Development
- The Hidden Costs of Cloud: How Small Mistakes Can Cost Millions
- Attention Seeker?
- Bridging the Gap: Transforming Tech Friction into Startup Success
- A Step-by-Step Guide to Building a Data-Driven Culture
- Embedded Systems enhancements with AI and Machine Learning
- Best Practices for Debugging Embedded Software
- Exploring Power Platform AI for Next-Generation Solutions
- Build Your Own Copilot (Jarvis) 🤖 with Copilot Studio
- Polyglot with Python: Building Your Own AI Translator
- Azure ML Designer: From Data to Deployed Price Predictions
- Vision AI: From Pixels to Predictions using Azure
- Detecting AI Voice Impersonation in Real Time: A New Front in Anti-Ransomware Defense
- Fabric User Data Function: Write Back with Translytical Task Flows
- Azure Foundry: Evolving from Models to Agents
- Fabric Databases and AI: Using vector search in Fabric Databases for AI architectures
- Lets Deeploy Flink - Uncovering Hidden Depths of Yarn, Docker, Kubernetes & Beyond
- Build Real-Time ML & AI Pipelines with Apache Flink
- Powering Insurance: Real-Time Data Transforming Claims, Risk & Revenue
- Agentic AI Architectures: Building Autonomous Systems for the Real World
- Optimizing Large Language Models: Techniques and Future Directions for Efficiency
- From Chaos to Collaboration: Introducing Git in Fabric Projects
- Using Tabular Editor and best practices to speed up Power BI development - a live demo
- Don't Repeat Yourself, how custom Python modules in Microsoft Fabric give you back hours every day
- Delta Table Optimisation - Improving Queries using Delta Partitioning and Liquid Clustering
- Implementing Azure Arc for SQL Server
- Building a Robust Data Foundation for AI Success
- Database Deployment Automation using Database Projects & Azure DevOps
- Database Unit Testing for Data Professionals
- Apache Spark for SQL Data Warehouse Developers
- The Smart Start to Azure SQL Essential Features, Setup and Security
- Exploring Real-Time Horizons with Microsoft Fabric
- The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
- Mastering Microsoft Fabric Data Warehousing: Tips & Tricks You Need to Know
- Bridging the Confidence Gap: Empowering Inclusive Leadership in Data Communities
- Integrate OpenAI into Your Code with Semantic Kernel
- Teaching Old Dogs New Tricks: Revitalizing a SQL Server Code Base One Version at a Time
- Data Virtualization in SQL Server 2022
- Navigating the 1,000-Item Limit in Fabric Workspaces: A Data Engineer’s Perspective
- From Data to Dollars: Monetizing Consumer Data Ethically
- Data for the People: Unlocking the Power of Consumer Data
- The Future of Consumer Data: Trends, Challenges, and Opportunities
- Governance & Lifecycle Management of Dataflow Gen2
- Who’s In, Who’s Out? Controlling Access in Microsoft Fabric
- Next Level Reporting - The Power of AI in BI
- Unlocking Insights with Power BI and Fabric: An End-to-End Solution
- Extend Power BI with R, Python and SQL Server 2022 ML Service & Polybase
- Regular Expressions in SQL Server & Azure SQL Database
- Essential Concepts of Vector Databases for DBAs
- Scalable Cloud Architectures for Efficient Processing of Multi-Structured Big Data
- Modernizing Big Data on the Cloud: Apache Spark on Kubernetes
- From Ticket Chaos to Strategic Efficiency: How AI Is Transforming Internal IT Support
- Give Work to AI: How Agentic AI Powered the Humanless. Swiss AI Chatbot Factory
- Protecting Your Assets: Data Governance Best Practices in Microsoft Fabric
- Can you graph? Leverage Microsoft Graph API in your Power Platform Solution
- Leveraging AI in Power BI Dashboards
- Going Multi-Modal: Integrating Voice, Text and Images in Azure AI RAG Applications
- Hardening RAG System Against Hallucinations
- Beyond the Default: Designing Corporate Power BI Theme
- Unleashing Power BI's Potential: Mastering Calculation Groups and Field Parameters!
- 'Excel' in Power BI, or rather don't
- Embark on Your Power BI Odyssey: A Comprehensive Guide for Beginners!
- Architecting a Lakehouse on Azure: Combining Data Lakes and Warehouses
- Big Data Architecture & Technologies
- Democratizing Data: Empowering Your Organization with Cloud Data Management
- 5 Dashboard Design Rules in 15 minutes
- Team Dynamics in Tech: Working with People Who Don’t Think Like You
- The Power BI Glow-Up: Watch a Report Transformation Live
- Ingesting data into Microsoft Fabric
- SQL Supercharged: Azure, Fabric & Copilot in Action
- Introduction to Microsoft Fabric - Data analytics for the era of AI
- Learning to present and becoming good at it
- Data Architectures and Microsoft Fabric
- Using Generative AI on Structured Data (to query or modify data)
- Walkthrough of Medallion : Why Organizations Need the Medallion Architecture
- SQL Indexes - Boon or Bane?
- Improving Analytics Performance With Columnstore Indexes
- The New PRODUCT Function in SQL Server 2025
- My Favorite New T-SQL in SQL Server 2025
- Streamlining Data Ingestion with Dataflows Gen2 in Microsoft Fabric
- Understanding the Microsoft Fabric Capacity Estimator
- Understanding file formats within the Fabric Lakehouse
- How to effectively manage your Fabric ecosystem
- Building a reporting warehouse using Fabric
- Microsoft Copilot under the hood
- Common pitfalls in building generative AI platforms
- Tender Analysis. Microsoft Fabric, a success story applied to professional firms
- Improve productivity quickly by integrating new Fabric Task Flows for Better Project Management
- Accidental Azure DBA in 2025 Copilot is your Toolkit
- Decrease cost and management effort with Fabric SQL DB
- Know the game you are in - and you will not win
- Eventhouse / KQL database security setup
- Best practices and Guidance when using Microsoft Dataverse
- Copilot Agents in action: Insights into Copilot Studio
- Data chaos reloaded: How a lack of data governance is slowing down Copilot
- Power BI Design: Integrating UI with WCAG Standards
- Optimising Primavera P6 Reporting with Power BI