Call for Speakers

in 3 months

DATA BASH '25

event date

27 Sep 2025

location

Online

website

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

open, 6 days left
Call for Speakers
Call opens at 11:00 PM

13 May 2025

Call closes at 11:59 PM

03 Jul 2025

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

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

publicly listed on this page

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257 submissions
Submitted sessions
Fabian Heidenstecker
  • From Tea Leaves to Trendlines – Forecasting with Power BI & Fabric
Rodrigue Yengo
  • Building a Data Mesh Architecture for Dynamics 365 Sales
  • Predictive Analytics for Exchange Online Migrations
  • A Fabric-powered approach to customer engagement
Srinivasa Rao Akyana
  • Building High-Impact Data Teams: Trust, Coaching & Results at Scale
  • Scaling Financial System Modernization: Cloud, AI, and Data-Driven Change at Microsoft
  • Scaling Financial System Modernization: Cloud, AI, and Data-Driven Change at Microsoft
Manoj Kumar Vunnava
  • AI-Driven Contact Center Transformation: Analyzing the Data Behind Operational Change
Santosh Durgam
  • Data as Product
Artur König
  • How to use Power BI in Real-Life? (fast)
  • The State of Fabric Monitoring
Artur König, Marcus Wegener
  • Using Fabric Real-Time Analytics in Gaming
Peter van den Bos
  • Modeling Power BI with Code: Unlocking the Power of Semantic Link
  • Optimizing Power BI: Enhancing Performance Through Data Modeling
JL Verboomen
  • How AI is Changing Leadership: The New Role of Leadership in the AI Era
Torsten Strauß
  • Bicep fundamentals
  • Next-Gen AI Insights Native Vector Search in SQL Server 2025
  • Azure DevOps CICD Pipeline for SQL Database
show all submissions
Sravanthi Akavaram
  • Secure Protocol for IoT Environments with SQL Server Integration
  • Privacy-Preserving Federated Learning for Healthcare with Azure Cloud Infrastructure
Shikha Duttyal
  • Transforming Supply Chain Performance Through Azure Digital Twins & Advanced Route Optimization
Karthik Mohan Muralidharan
  • Bridging the Edge-Cloud Divide: SQL Server-Powered Orchestration Patterns for Real-Time Enterprise
Prabhakar Singh
  • Scaling AI Spam Detection: Real-Time, Multi-Modal Solutions for Modern Platforms
Anandan Dhanaraj
  • Revolutionizing Urban Mobility: Azure-Powered Adaptive Signal Control with SQL Server Analytics
Karthickram Vailraj
  • FinTech at Scale: Database Architecture for Modern Financial Data Platforms
Naresh Karri
  • AI-Powered Finance: From Exclusion to Inclusion in the Digital Banking Revolution
Dharmendra Ahuja
  • Scaling Ethical AI: DevOps Integration for 286% Deployment Efficiency
  • Mastering CI/CD Pipelines for Faster, Secure, and Higher-Quality Software Delivery
Gaganpreet Singh Shah
  • Cash Flow Revolution: Digital Invoicing with SQL and Azure Transforming Small Business
  • AI-Human Partnership: Transforming Professional Messaging with SQL Server and AI
Jasmine Greenaway
  • Unleashing Potential: Design Patterns in Azure Cosmos DB
Saumya Smriti
  • Empowering Insights: Power BI Meets Copilot – The Future of AI-Driven Analytics
Malathi Gundapuneni
  • Modernizing Financial Platforms with SQL Server: Compliance-Driven Transformation
  • Dual-Track Modernization: Balancing Cloud Innovation with On-Premise Stability
Rakshit Khare
  • Real-Time ML Analytics: 20% ICU Transfer Reduction Through Data Engineering
Varun Reddy Beem
  • Healthcare Information Retrieval: Vector Databases for AI-Driven Semantic Search
  • AI-Powered Mental Health Support: Transforming University Wellbeing Services with Azure
Srinivasan Ravishankar
  • Azure-Powered Managed PayFac: Revolutionizing Platform Monetization
  • How Blockchain and Crypto Are Rewriting the FinTech Playbook
Raghu Chaitanya Vasi Reddy
  • AI Agents in Data Integration: From Static Pipelines to Smart Orchestration
Prakash Kodali
  • Cloud-Native AI Ecosystems: Advancing Real-Time Personalization in E-Commerce Customer Experiences
  • Transformative Convergence: AI, Azure, and Cloud Engineering in Modern E-Commerce Ecosystems
Preetham Kumar Dammalapati
  • Scaling Enterprise Systems: Cloud-Native Microservices with High-Performance SQL Data Processing
  • Scaling Enterprise Systems on Azure: Cloud-Native Microservices Performance Analysis
Frank Geisler
  • Releasing the Potential of Microsoft Real-Time Intelligence through AI Agents
  • Building an Azure Data Resources with Biceps
  • Advanced Timeseries Analytics and Anomaly detection in Fabric Realtime Intelligence
Tanya Gupta
  • The AI-Powered Analyst: Mastering AI for Smarter Decision-Making
Ravi Teja Avireneni
  • Transforming Healthcare Through Middleware Integration: Cloud-Native Interoperability Solutions
  • Real-Time Healthcare Intelligence: Middleware-AI Pipelines for Clinical Decision Support
  • Healthcare API Security: Azure Zero Trust Solutions for Patient Data Protection
Megha Hooli
  • Retail AI Revolution: From 12 to 847 Papers & Billion-Dollar ROI Secrets
Rahul Joshi
  • From Hadoop to Lakehouse: Breaking Free from Data Silos
Sri Harsha Koneru
  • AI-Driven Healthcare Innovation: Transforming Patient Monitoring Through Intelligent Automation
  • Digital Twins and SQL Server: Transforming Enterprise Data Infrastructure Management
  • Digital Twins in Action: Transforming Enterprise Endpoint Management with Azure
Venkata Mogili
  • Breaking Barriers: How Low-Code + AI Delivers 177% ROI in Regulated Industries
Sarat Piridi
  • AI Copilot Automation: Data-Driven Process Intelligence Across Industries
Maciej Kępa
  • MLOps on Azure - war stories and lessons learned
Sai mounika Yedlapalli
  • Making Data Work Smarter with Azure: Lessons from the Trenches
Chinni Krishna Abburi
  • Unlocking Microsoft Fabric: The Future of Unified Data & Analytics
Kevin Wilkie
  • The Function of Windowing Functions
  • Finding the Right Data Types
Prem Sai Reddy Kareti
  • Data-Driven Trust: Security & Transparency in Enterprise AI Systems
Venkata Surya Teja Batchu
  • Responsible AI in Public Safety: Ethics and Analytics with Microsoft Fabric
  • Privacy-Preserving Healthcare AI: Federated Learning with Azure Machine Learning
Sachin Kapoor
  • Securing AI Training Sets and Machine Learning Pipelines from Attack to Analytics
Vijay Kumar Kola
  • AI-Driven Testing Intelligence: Transforming Enterprise Data Quality at Scale
Sivaprasad Yerneni Khaga
  • Microsoft Syntex: Transforming Enterprise Content Management with AI-Driven Intelligence
  • Azure AD Identity and Access Management: Building Modern Enterprise Security Foundations
Sanchayan Chakraborty
  • AI-Powered Maintenance: Data-Driven Solutions Slash Downtime 43% & Errors 82%
  • Securing Autonomous Vehicles: Integrating Security, Observability & Edge Computing
Venkatesh Kata
  • Middleware as the Data Backbone: Powering Financial Analytics & Real-Time Insights
Bilal Bobat
  • Azure Databricks Data Intelligence Platform
Danny Kruge
  • Talk to Your Data: The Future of Data Interaction with AI
  • Automating SQL Permissions Scripting for Daily Audits and One-Click Deployment
  • Unlocking the Power of Optimization in Azure Data Factory
Narendra Subbanarasimhaiah Shashidhara
  • Agentic AI: Redefining Software Design and Workflow Automation with Intelligent Autonomy
Lalitha Potharalanka
  • Data-Driven Educational Equity: Analytics and AI Bias Detection in Low-Code Platforms
Venkata Surendra Reddy Appalapuram
  • From Data Swamps to Data Gold: Mastering the Lakehouse Revolution
Venkata Narasimha Raju Dantuluri
  • AI-Optimized Data Systems: The Foundation of Next-Gen Human-AI Collaboration
Amit Arora
  • Preventing AI Model Drift: Continuous Retraining Strategies for Production Systems
  • Data-Driven Workforce Evolution: How Analytics Shape the Future of Work
Naveen Reddy Thatigutla
  • From Cloud Chaos to Data Clarity: Building Resilient Infrastructure for the AI Era
Krishna Sunkara
  • AI Datacenter Automation
Venkat Kokku
  • The Underdog of Automation: Why VBA Still Powers Critical Data Workflows in 2025
  • Solving the Media Puzzle: Scalable Marketing mix modeling for the Big Data Age
Eric Johansson
  • From Chaos to Order - Using the Repository Pattern the Right Way
Aditya Chakravarthy Sumbaraju
  • Building the Future: How Agentic AI and Data Governance Create Unstoppable Enterprise Value
Sankar Subramanian
  • AI-Driven Machine Vision Analytics: Revolutionizing EV Manufacturing Quality & Automation
Ketankumar Hasmukhbhai Patel
  • Building Responsible AI in Salesforce: A Practical Ethics and Compliance Framework
Kishore Kumar Epuri
  • Democratizing Precision Agriculture: A Mobile CPQ Platform for Scalable Smart Farming Solutions
Asha Holla
  • RAG your database: Build a Natural Language to SQL Chatbot
  • AI Agents 0 to 1: Build your code first AI agent on Azure
Ishita Narsiker
  • Machine Psychology of Large Language Models in Software Effort Estimation
Anvesh Reddy Aileni
  • AI-Powered Regulatory Agents Transform Enterprise Data Compliance via Automation
Kiran Kumar Chitrada
  • Data-Driven Agentic AI for Smart Operational Tech in Manufacturing
Oleksii Segeda
  • Building AI-ready data pipelines
Shubhangi Goyal
  • Crafting LLM Applications: Design, Build, and Evaluate
  • Mastering Storytelling with BI
Nageswara Rao Nelloru
  • Securing the Digital Fortress: Cybersecurity Architecture for Cloud-Based Insurance Operations
  • Transforming Financial Services Through API-Driven Ecosystems: Claims Management Revolution
Vamsi Krishna Vemulapalli
  • Intelligent Database Optimization: ML-Powered Archiving for Enterprise Scale
Rajeev Samuel Devadas
  • AI-Driven Application Modernization and Hybrid Cloud Enablement for the Healthcare Industry
  • Datacenter Consolidation and Cloud Enablement for Green IT Initiatives: Benefits for Social Factors
Abdal Lalit
  • Crafting a Scalable Microsoft Data Strategy
Pallav Laskar
  • From OpenAPI to Production: Building Enterprise-Scale Declarative UI SDKs
  • Design Tokens as First-Class Citizens: Architecting Scalable Multi-Platform Design Systems
Shruthi Ashok
  • AI-Driven Transformation in Semiconductor Supply Chain: From Chaos to Intelligence
Juliana Smith
  • Developing WCAG-Compliant Power BI Reports
  • Power BI Design: Integrating UI with WCAG Standards
  • Optimising Primavera P6 Reporting with Power BI
Alpa Buddhabhatti
  • On-Prem AI Foundry: Containerized LLMs in Your Data Center
Penta Rao Marapatla
  • From Chaos to Clarity: How One Nonprofit Transformed 500+ Dashboards, Boosting Decisions by 30%
Naveen Kumar Pedada
  • Securing Healthcare's Data Revolution: HIPAA Compliance in the Age of Real-Time Analytics
Hugo Kornelis
  • Approximate functions: How do they work?
  • Execution plans ... where do I start?
  • Here’s the execution plan … now what?
Maja Spanic Kezan
  • Using neuroscience knowledge to unlock visualization and data storytelling potential
Steve Campbell
  • DAX fundamentals: what is filter context?
  • Demystifying Delta (Parquet): A No-code, No-jargon Introduction
Gagandeep Singh
  • AI-Driven Anti-Cheat Systems: Transforming Online Gaming with Real-Time Analytics
Shreya Gupta
  • The Future of AI: Leveraging Serverless Computing for Scalable, Cost-Effective ML
Rajkumar Chindanuru
  • AI-Driven Cognitive Retail Modernization: Revamping Legacy Systems for Better CX
Srikanth Dandolu
  • Real-Time AI for Financial Claims Processing: Architecture and Implementation
  • Transforming Enterprise Data Infrastructure: IaC Best Practices for Cloud-Native Platforms
Thomas LeBlanc
  • Making Power BI Run Faster!!!
Aquayemi-Claude Akinsanya
  • Business Development for Social Impact: Growth Through Purpose and Innovation
Sai Venkata Raghavendra Kondapalli
  • Distributed SQL: The Convergence of Relational Consistency and Cloud-Scale Performance
Lucrecia Krause MVP
  • 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
Chirag Maheshwari
  • Building Scalable, Robust Machine Learning Systems: Essential Tech & Practices
Ayush Goyal
  • Writing back into the source from Power BI report using Power Apps
  • Pixels with Purpose: SVG Visuals for Powerful Insights
Nagamalleswararao Bellamkonda
  • Data Guardians: The Critical Role of DBAs in Modern Healthcare
Sheena Yap Chan
  • Confidence in the Age of Data: Empowering Diverse Voices in Tech Analytics
Valerie Junk
  • Dashboard Design - The icing on the cake
  • Power BI - This is Not an Art Project
  • Power BI Conditional Formatting – Highlight What Matters
Soham Chakraborti
  • The Future of AI in Healthcare: Emerging Trends and Breakthrough Innovations
Riddhi Patel
  • AI-Driven 5G Android Architecture for Ultra-Low Latency Applications
Francesco Bergamaschi
  • 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
Jeff Taylor
  • 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
Kev Chant
  • 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
Anupam Chansarkar
  • Reducing Hallucinations in LLMs: Cross-Verification as a Strategy to Improve Accuracy
Rahul Vats
  • Generative AI in Finance: Applications, Growth, and Ethical Challenges
Jon Vöge
  • 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
Nidhin Jose
  • Building Resilient Retail Supply Chains with Event-Driven Architecture
Odeajo Israel
  • Building Responsible AI Solutions for Credit Risk and Financial Planning in Emerging Economies
Russ Abrams
  • 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
Francesco Marino
  • 3 ways to improve the relationship with your internal customers/stakeholders
  • Improving BI User Experience in Corporate Environments: Practical Strategies That Work
Bhanu Prakash Reddy Mettu
  • Transforming Threat Intelligence with LLMs, AI Agents & RAG for Scalable Defense
Daniel Patkos
  • Beyond Version Control: GitHub Actions for Power BI Development
Faiz Gouri
  • The Hidden Costs of Cloud: How Small Mistakes Can Cost Millions
Sandip Palit
  • Attention Seeker?
Gethyn Ellis
  • Bridging the Gap: Transforming Tech Friction into Startup Success
  • A Step-by-Step Guide to Building a Data-Driven Culture
Sanjeev Shankar
  • Embedded Systems enhancements with AI and Machine Learning
  • Best Practices for Debugging Embedded Software
Manpreet Singh
  • Exploring Power Platform AI for Next-Generation Solutions
  • Build Your Own Copilot (Jarvis) 🤖 with Copilot Studio
Harshavardhan Bajoria
  • 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
Manas Sharma
  • Detecting AI Voice Impersonation in Real Time: A New Front in Anti-Ransomware Defense
Dennes Torres
  • 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
Naci Simsek
  • Lets Deeploy Flink - Uncovering Hidden Depths of Yarn, Docker, Kubernetes & Beyond
  • Build Real-Time ML & AI Pipelines with Apache Flink
Himanshu Adhwaryu
  • Powering Insurance: Real-Time Data Transforming Claims, Risk & Revenue
Karthik Hubli
  • Agentic AI Architectures: Building Autonomous Systems for the Real World
  • Optimizing Large Language Models: Techniques and Future Directions for Efficiency
Marisol Steinau, Sebastian Steinau
  • From Chaos to Collaboration: Introducing Git in Fabric Projects
Bas Land
  • 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
Gilda Alvarez
  • Implementing Azure Arc for SQL Server
Maryleen Amaizu
  • Building a Robust Data Foundation for AI Success
Olivier Van Steenlandt
  • Database Deployment Automation using Database Projects & Azure DevOps
  • Database Unit Testing for Data Professionals
  • Apache Spark for SQL Data Warehouse Developers
Padma Rama Divya Achanta
  • The Smart Start to Azure SQL Essential Features, Setup and Security
Kristyna Ferris
  • 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
Sheena Yap Chan
  • Bridging the Confidence Gap: Empowering Inclusive Leadership in Data Communities
Kevin Feasel
  • 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
Thimantha Vidanagamage
  • Navigating the 1,000-Item Limit in Fabric Workspaces: A Data Engineer’s Perspective
Alex Hamilton
  • 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
Pragati Jain
  • Governance & Lifecycle Management of Dataflow Gen2
  • Who’s In, Who’s Out? Controlling Access in Microsoft Fabric
Kathrin Borchert
  • Next Level Reporting - The Power of AI in BI
  • Unlocking Insights with Power BI and Fabric: An End-to-End Solution
Yitzhak David
  • 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
Karan Alang
  • Scalable Cloud Architectures for Efficient Processing of Multi-Structured Big Data
  • Modernizing Big Data on the Cloud: Apache Spark on Kubernetes
Nick Gushchin
  • 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
Indira Bandari
  • Protecting Your Assets: Data Governance Best Practices in Microsoft Fabric
Reid Schmidling
  • Can you graph? Leverage Microsoft Graph API in your Power Platform Solution
  • Leveraging AI in Power BI Dashboards
Zahhar Kirillov
  • 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
Michael Schwaenen
  • 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!
Rajesh Vayyala
  • Architecting a Lakehouse on Azure: Combining Data Lakes and Warehouses
  • Big Data Architecture & Technologies
  • Democratizing Data: Empowering Your Organization with Cloud Data Management
Santhana Lakshmi Ponnurasan
  • 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
Javier Villegas
  • Ingesting data into Microsoft Fabric
  • SQL Supercharged: Azure, Fabric & Copilot in Action
  • Introduction to Microsoft Fabric - Data analytics for the era of AI
James Serra
  • Learning to present and becoming good at it
  • Data Architectures and Microsoft Fabric
  • Using Generative AI on Structured Data (to query or modify data)
Nilanjan Chatterjee
  • Walkthrough of Medallion : Why Organizations Need the Medallion Architecture
  • SQL Indexes - Boon or Bane?
Edward Pollack
  • Improving Analytics Performance With Columnstore Indexes
  • The New PRODUCT Function in SQL Server 2025
  • My Favorite New T-SQL in SQL Server 2025
Rajendra Ongole
  • Streamlining Data Ingestion with Dataflows Gen2 in Microsoft Fabric
Andreas Bergstedt
  • Understanding the Microsoft Fabric Capacity Estimator
John Miner
  • Understanding file formats within the Fabric Lakehouse
  • How to effectively manage your Fabric ecosystem
  • Building a reporting warehouse using Fabric
Uroš Miletić
  • Microsoft Copilot under the hood
  • Common pitfalls in building generative AI platforms
Jordi Bosch
  • Tender Analysis. Microsoft Fabric, a success story applied to professional firms
Warwick Rudd, Kelly Broekstra
  • Improve productivity quickly by integrating new Fabric Task Flows for Better Project Management
  • Accidental Azure DBA in 2025 Copilot is your Toolkit
Warwick Rudd, Ginger Grant
  • Decrease cost and management effort with Fabric SQL DB
Brian Bønk
  • Know the game you are in - and you will not win
  • Eventhouse / KQL database security setup
David Patrick
  • Best practices and Guidance when using Microsoft Dataverse
Fabio Bonolo
  • Copilot Agents in action: Insights into Copilot Studio
  • Data chaos reloaded: How a lack of data governance is slowing down Copilot