Call for Speakers

in 188 days

dataMinds Connect 2025

event starts

6 Oct 2025

event ends

8 Oct 2025

location

Lamot Conference and Heritage Center, Van Beethovenstraat 8-10 Mechelen, Belgium


dataMinds Connect is a 3 day in-person event in the wonderful city of Mechelen, Belgium. It's an IT related event with a specific focus on the Microsoft Data Platform

While some people may still refer back to the original name of SQL Server Days, we've adopted our dataMinds Connect brand 7 years ago keeping in mind the same core values. 3 days filled with learning, networking and a whole lot of laughs while doing so! 

This year will be the 18th edition of the conference, and running for the seventh time as dataMinds Connect. Aiming to bring together all people with a passion for the Microsoft Data & AI Platform, in all flavours possible, we're hoping to reunite with our many community members, and spark flames to our common passion. Share experiences with old and familiar faces, and embrace a lot of new ones!

Go ahead and clearly mark Monday October 6th, Tuesday October 7th, and Wednesday October 8th 2025 in your schedule, as these will be 3 days you don't want to miss! You've read that right, 3 days! 

PREVIOUS EDITIONS

For those keen on reliving the memories of prior editions of dataMinds Connect, or want to get an impression of what is like, you can refer to the official aftermovies on YouTube for 20212022, 2023, and 2024 or a small collection of photos taken on the conference day (Tuesday) of previous editions in 202120222023, and 2024

open, 45 days left
Call for Speakers
Call opens at 9:00 AM

20 Feb 2025

Call closes at 11:59 PM

15 May 2025

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

TALK WITH US:

When in doubt, or you do not agree with something we have put on here, reach out to the organising team for more information! We are all human beings , so there is nothing we can't have a civil conversation about. At the end of the day, this is ran by volunteers trying to bring together people with a shared passion for data. 
Seriously, talk with us.

ABOUT THIS CALL FOR SPEAKERS:

There are a number of optional fields in this Call for Speakers, any context you can provide to help us make an informed decision is greatly appreciated. You can only fill in the required ones, if you think this provides enough information. Feel free to use the notes section liberally!

CODE OF CONDUCT:

https://datamindsconnect.be/code-of-conduct/

All people involved in our event, are required to adhere to our Code of Conduct. We want this be an event where everyone should feel welcome and accepted, regardless of their background or characteristics. There will be options to confide in different persons in case of reporting incidents and violations. Any person breaching the Code of Conduct, will potentially be removed from the event, regardless of their role of engagement. 

NEW SPEAKERS:

We wholeheartedly encourage all new speakers to submit a proposal as a Newcomer. To be clear, new speakers are considered to be people who have not yet spoken at a (technical) conference or larger event. User Group sessions, webinars and client/team presentations are not taken into account for this categorization. 

Each new speaker will be paired up with a buddy/mentor, who will provide them with highly valuable tips & tricks. Even more so, 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. 

P.S. We verify the validity for people that submit as new speakers, so we can make sure to keep those spots for actual new speakers. 

GENERAL SESSIONS:

Open for all sessions related to the Microsoft Data & AI Platform, in all possible flavours. Going from your more traditional DBA and BI topics, to modern data topics like Data Lakehouses, Data Virtualization or Generative AI using LLM. If it's related to the Microsoft Data & AI Platform, we want it!

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, ...

All conference sessions will be 60 minutes (including at least 5 minutes of Q&A), and allocated to a track by the organising team.

PRECON SESSIONS:

Proposals for precon sessions (full day workshops) are very welcomed, but bear in mind that we're also searching for good fits on our own. It may be possible that certain slots will already be booked. 

We will be closing the Call for Precon sessions 2 weeks earlier (Thursday May 1st 2025). The session selection for the precon sessions will be shortly after, so we can inform those that selected at that point. Should you want to withdraw after this selection, that is perfectly fine.

A precon session (full day workshop) will be compensated by using our proposed payment scheme. A flat fee of 2.500€ (excl. VAT) is used as a default payment, regardless of the attendees that register. For every attendee following the 30th person, we'll add another 40€ (excl. VAT) to the grand total. 

This compensation is per session, in the case of multiple speakers they have to agree how to divide the sum. Microsoft FTEs are barred from this type of compensation, where alternative options will be discussed. 

EXPERT SESSIONS (400+, blow out some brains):

To continue our good tradition to specifically plan expert level sessions (400+), we're specifically looking for deep-dive sessions on advanced, complex topics. When submitting a session like this, please make sure you clearly outline any prerequisites the attendees should have. We're aiming at enough level 400-500 (or higher) sessions, to offer a wide variety of sessions and topics.

TARGET AUDIENCE:

Our target audience can best be described as a majority of technical people (practitioners), in a variety of data-facing roles. Whilst most of our attendees are not budget holders or decision-makers, they will have significant influence in the decision-making process. Their experience will vary between people just starting out in their current role, trying to absorb all the knowledge they can, to well-experienced people just there to broaden their range with some extra use cases. 

For example, these are job titles that come back in our post-event evaluation: Database Administration, Database Developer, BI Analyst, BI Engineer, Data Scientist, Data Engineer, Data Architect, Data Analytics Engineer, Azure Data Administrator, Prompt Engineer, ...

As dataMinds Connect, we also work together with some colleges and universities in Belgium and allow final year students to attend. 

ABOUT THE TEAM:

dataMinds Connect is organized by a group of volunteers in their spare time. If you want to know more about these people, you can find more details on our webpage

DISCLAIMER:

Speakers will be asked to travel to Belgium for the event, and any exceptions should be discussed with the organising team.

We're moving forward with an in-person event, keeping a close eye on safety and health recommendations. If need be, we will be prepared to cancel at any given time to safeguard the well-being of every person involved.  

TIMELINE:

  • Thursday February 20th 2025: Call for Speakers open
  • Thursday May 1st 2025: Call for Precon Speakers close
  • Thursday May 15th 2025: Call for Speakers close
  • Thursday May 22th 2025: Session selection process
  • Friday May 23th 2025: Session selection feedback
  • Monday May 19th 2025: Blind Bird Ticket Sales open (Limited tickets)
  • Monday June 2nd 2025: General Ticket Sales open and Schedule announcement to public (Precon & Regular Sessions)
  • Monday October 6th 2025: Precon Day
  • Tuesday October 7th 2025: Conference Day
  • Wednesday October 8th 2025: Conference Day

all submitted sessions

publicly listed on this page

accommodation

expenses covered

event fee

free for speakers

We'll be offering booked accommodation for 1 night at one of the selected hotels.


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256 submissions
Submitted sessions
Anurag Kale
  • Data Mesh in Action: Bootstrapping Data Analytics Excellence in a Century-Old Startup
Arsh Goyal
  • Real Time Analytics using Apache Pinot - Open Source
Steven De Lausnay
  • Data Quality Framework (DQX) - What is it, how to use it?
  • From Concept to Reality: Azure Digital Twins with Azure Databricks
  • Elevate Your IoT Game with Delta Live Tables
Carolina Greno
  • Public Speaking for Tech Pros: Remove Communication Blocks to Unlock Your Career Progress
Manan
  • Mastering the ML Lifecycle – From Experiment to Dockerized Deployment with MLflow
  • Unleashing AI Magic with TensorFlow.js – Build Smart Web Apps with JavaScript
  • Fine-Tuning & Quantization: Supercharging LLMs for Speed and Efficiency
Rutuja Pawar
  • Invisible Ink: The Subtle Science of Effective Data Storytelling and Scrollytelling
Tomasz Kostyrka
  • DevOps from day 1 – kickstart your data project the right way
Hylke Peek, Rick
  • Fabric Governance in Practice – From Setup to Oversight
Ritesh Modi
  • Hallucination by Design: How Embedding Models Misunderstand Language
Ryan Rad
  • Mastering Generative AI: Core Concepts to Agentic Intelligence
show all submissions
John Q. Martin
  • Automation for the people!
  • Of course I want to let Azure SQL manage my indexes, why wouldn't I?
  • Database Security is not the DBAs responsibility, change my mind.
  • Database Development For non-Developers
  • Exploring your GitHub Repositories with Microsoft Fabric and DORA.
Sofie Theys
  • Beyond the Hype: Building Retail Chatbots on Azure – RAG vs. Agentic AI
Dr. Joe Perez
  • Driving Decisions with Data: Delight or Disaster?
  • From Atomic Warfare to Data Warfare: Four Pillars of Data Dominance
  • Building Bridges of Trust and Resilience: The Six Pillars of Ethical Business Leadership
  • Breaking the Chain for Data-Driven Innovation
Lizzie Siegle
  • Vibe Code Better: Human-Assisted-AI-Assisted Development
Ernst Wolf, Ronald Konijnenburg
  • Leveraging SAP Datasphere and Open Mirroring in Fabric
Sai Kaushik Ponnekanti
  • Streaming at the Speed of Business: Transforming Data into Real-Time Value
Falek Miah
  • Simplifying Code Distribution with Databricks Asset Bundles
Daniel Hutmacher
  • From substitutions to public keys - an introduction to cryptography
  • Window to Success: Mastering SQL Server Window Functions
  • The Old Dog of Data Security — SQL Injection
Prosper Onyenkwere
  • ENHANCING DATABASE SECURITY WITH AI: A CASE STUDY ON SQL SERVER
Nick Verhelst
  • Start to DataOps: Supercharge your data pipelines
Jonathan Moeyersons
  • The laws of UX through the eyes of a toddler
  • How to set up a rock solid foundation for Power BI governance?
Fabian Gutierrez Ardts
  • The path to Bundle your Databricks projects
Carlos Robles
  • Elevate SQL Development with VS Code
  • Ground to Cloud: Simplifying the Developer Experience with Azure SQL
Johan Smarius
  • How to stay up-to-date as a working software developer
  • GraphQL in .NET
Wim Vancuyck
  • Data purpose
  • Building an end-to-end data platform for researchers
Christos Chatzis, n.michail
  • Kaizen's Cloud Data Lake 2.0: Redesigned for the Future
Marcin Gwóźdź
  • Moving MongoDB workloads to PostgreSQL by using FerretDB
Bart Vernaillen
  • Analyzing a bunch of query plans with PowerShell
Lucas Rocha
  • A Horror Enterprise Tale: Real Cases of Fake Employees and Data Breaches
  • From Zero to Million: How I got the first Million downloads on my Open-Source PHP package
Roger Barreto
  • Routing Large, Small and Local Models with Semantic Kernel
  • Unleashing the Power of AI with Semantic Kernel: A Beginner-to-Intermediate Hands-On Guide
Jurgen Postelmans
  • Getting started with Delta Live Tables in Databricks
  • Azure Databricks in a Day
DBAKevlar
  • How to Build Your Own Role and Making Leadership Think it Was Their Idea
  • Unlocking the Benefits of Database DevOps and Automation
  • Knowing When to Leverage Relational Databases for Azure Fabric
mike carlo, Sujata Narayana
  • Unleashing the Power of Translytical Taskflows in Microsoft Fabric
mike carlo
  • Power BI Pizzazz – Unleash Your Inner Report Rockstar with Advanced Styling Techniques
Augustin_DB
  • Automate tenant monitoring and documentation using scanner api
Ivo Schindelholz
  • Avoid Pitfalls in Pipeline Migrations from Azure Data Factory to Fabric
Pikachu
  • Building a Multi-Agent AI Application with Prompty and Azure AI Foundry
Grant Fritchey
  • Leveraging AI as a DBA
  • Exploring SQL Server Execution Plans
  • You Need a PostgreSQL Restore Plan, Not a Backup Plan
  • PostgreSQL For Those Who Know SQL Server
  • Extended Events Live Data Window
Adam Cowley
  • From tables to graphs
Wim Casteels
  • Navigating the Societal Challenges of AI
Sam Debruyn
  • Fabric Fortresses: Setting Up Microsoft Fabric for Your Enterprise Needs
  • SQL Resurgence: Unleashing data potential with dbt
  • Fabric Capacities: Divide and Conquer
  • dbt & Fabric: better together
Have
  • ML and AI Capabilities in Microsoft Fabric
  • Outperform Spark with Python Notebooks in Fabric
  • Beyond Chatbots: Leveraging AI for Unstructured Data Processing
  • An Apache Spark query's journey through the layers of Microsoft Fabric
Sagal Ugas
  • Optimising Product Data Analytics
David Kofod Hanna
  • The Bookmark Killer: Mastering When and How to Use Bookmarks in Power BI Reports
  • Ultimative Guide to Power BI Apps vs Org Apps in Fabric
  • Mastering Composite Models: Power BI for the Self-Service Developer
  • Tabular Editor 3 Fundamentals
  • 20 Power Query (M)agic Tips That Every User Should Know
Moiz Khan Sherwani
  • Bridging AI and Biology: Machine Learning for Multi-Omics Data Integration
Magnus Ahlkvist
  • Everything you need to know about Temporal Tables
  • Eight hours of work in 20 minutes.
  • An introductcion to SQL Server database projects
  • Learn about database projects in a day
Reitse Eskens
  • SQL Copilot, what the query is this!?
  • Let your Fabric work! Loadtesting large amounts of data
  • How an attendee became a speaker
  • Code, deploy and maintain your Azure (data) Infrastructure with confidence
  • Fabric SQL, can I have some more databases please?
Shannon C. Ryan
  • Empowering Innovation: Women Pioneering the Future of Technology
  • Tech Trailblazers: Inspiring Stories of Women Innovators
  • Breaking Barriers: Women Leading the Tech Revolution
  • Championing Diversity: The Role of Women in Shaping Tomorrow's Technology
  • Navigating the Digital Evolution: A Technologist's Guide to Thriving in the Age of Innovation
  • From Code to Leadership: Navigating the Tech Landscape as a Woman
Peter van den Bos
  • Incremental Refresh Power BI
  • Unlocking the Power of the VertiPaq Engine: Data Modeling for Maximum Performance
patri
  • Bridging the gap: Uniting machine learning and generative AI with Microsoft Azure
  • Navigating Microsoft Fabric: Making the right choices for your data strategy
  • Choosing the right Azure data Platform: ADF vs. Synapse vs. Microsoft Fabric
Daan Oosters
  • Mastering Power BI Workspace Management: Keep Your Environment Clean, Secure, and Efficient Without
Ruben Van de Voorde
  • How I learned to stop worrying and love Excel
Roger Unholz
  • Find Your LEGO! Building an AI-powered image search with Fabric and Power BI
  • Mastering Lakehouse maintenance: From basics to automation with Semantic Link Labs
Boopesh
  • How I Stopped Receiving Calls From My Own Sales Team
Jordan
  • "Harnessing AI Creativity: The Dor Brothers' Approach to Satire and Digital Storytelling"
Neha Lagoo Ratnakar
  • Code, Coach, Conquer: Level Up Your Facilitation Game!
Kristina Jovic
  • Bridging Privacy Regulations and Technology: The Impact of Cookies
Dennes Torres
  • Secrets of Notebook Parallel Execution
  • Microsoft Fabric: Notebook Secrets No one told you Before
  • Activator and Lakehouse files: Using lakehouse as a drop zone
  • 5 Kusto Secrets No one told you before
  • Materialized Views: Real-Time Data Granularity in Eventhouses
  • From Azure to Fabric: Migrating to Fabric Databases
  • Fabric Databases and AI: Using vector search in Fabric Databases for AI architectures
  • EventStream and EventHouse: Real-Time intelligence in Fabric
  • Eventhouse and Power BI: The Modelling Practices
  • Agentic AI: Creating Agents in Azure
  • Source Control and Deployment Pipelines with Power BI and Fabric
  • Real Time Intelligence in Fabric: From Eventstreams to actions with Activators
  • Azure Open AI RAG and other architectures: From Accelerator to Prompt Flow and Agents
Francesco Bergamaschi, David Bianconi
  • Visual Calculations and Visual Context: the revolution that changes the way of writing DAX code
Francesco Bergamaschi
  • Understanding CALCULATE, the queen of all DAX functions
Joel Gagnon
  • Maximizing the impact of Power BI applications through improved user experience
Michael Levinger
  • From Static Models to Evolving Systems with Feedback Loops and Reinforcement Learning
Tarun R Jain
  • Looping Humans: Improve Agentic Workflows with human-in-a-loop
Fawaz Ghali
  • Revolutionizing Data Engineering with Dynamic Tables
  • Mastering Data Lakes with Apache Iceberg: A Java Developer’s Guide
  • Building Real-Time Security Dashboards: Enhancing Visibility and Risk Detection
  • Scaling AI & ML in the Cloud: LLMs, Smart Search, & Automated Tuning
  • Unlocking AI-Powered Data Retrieval with Snowflake Cortex Agents
  • Integrating Serverless LLMs with Data Platforms for Natural Language Analytics
  • Harnessing the Power of Snowflake and Python for Scalable Data Analytics
  • Building Scalable Data Analytics Applications with Python and SQL
Mark PM (MSFT)
  • Unlocking the Power of Open Mirroring in Microsoft Fabric
sqlbro
  • Chat with Azure SQL
Ásgeir Gunnarsson, Lars Andersen, Just Blindbæk
  • Mastering Fabric Administration
JamesDBartlett3
  • Automate Your Power BI and Fabric Backups with Fabric Archive Bot
Pieter Vanhove
  • Unveiling the new Security Features in SQL Server 2025
  • Get to grips with encryption in Azure SQL and SQL Server
Roman Tesolkin
  • Govern Less, Empower More: Decentralizing Data Governance with Power BI
  • Decoding 3D Printing Data Analytics with Power BI
  • Sky Analytics: Turning Raw Drone Logs into Visual Stories with Power BI
Ben Watt
  • Going out on my own - a story of starting a business
Jamel Abed
  • Selecting the Ideal Storage Solution for Contemporary Cloud Applications: Cost-Effective Choices
Erland Sommarskog
  • Don’t Let Your Permissions Be Hijacked!
  • Deadlocks – Analysing, Preventing and Mitigating
  • Introduction to Regular Expressions in SQL Server
Daniel Patkos
  • Beyond Version Control: GitHub Actions for Power BI Development
Michela Bertaina
  • The 4 keys to indistractable focus
  • Goal setting: a practical approach to growth
  • Develop a Second Brain
Brian Alementi
  • Elevating Leadership: Unlocking Excellence by Leading with Purpose
Fatima Taj
  • An Introvert's Exhaustive Guide to Public Speaking
  • Learning to Lead as an Individual Contributor
  • How I Sidestepped 'Being Glue'
Valerie Junk
  • Power BI - This is Not an Art Project
  • Storytelling & Power BI - Creating reports for the enduser
  • Get Creative with Power BI: Make these core visuals shine!
  • My Real-Time Intelligence Journey: From Power BI Data Visualization to Streaming Data
Hugo Kornelis
  • Normalization beyond Third Normal Form
  • Debugging without debugger: investigating SQL Server's internal structures
  • Performance and execution plan improvements in SQL Server 2025
  • Here’s the execution plan … now what?
  • Execution plans ... where do I start?
  • Execution Plans in Depth
Koen Verbeeck
  • Indexing for Dummies
  • Migrating your existing Data Warehouse Project to Microsoft Fabric
  • Getting Started with Presenting your Own Stuff
  • Building Effective Data Warehouses and Power BI Models - Guide to Dimensional Modelling
  • Choosing is losing? Different storage options in Microsoft Fabric
Vanessa
  • Secure Microsoft 365, Dynamics 365, and Entra ID Data Against Cyber Threats
Arthur Kaza
  • Create a Multi-Speaker Podcast with Gemini 2.0 & Text-to-Speech
Martijn Vanderschueren
  • Mutlilinguism in Power BI reports
Tav Herzlich
  • Efficient Learning for Developers: Tips and Strategies
Margarita Neumueller
  • The Power of „no“ - and why it helps your team
Erwin de Kreuk
  • Building a Fortress of Your Fabric Environment: Security Best Practices for Data Engineers
  • Mastering a Metadata-Driven Framework with Fabric SQL Database and Data Factory
Lonneke Opsteegh
  • The three layers of dashboard design: A method to create user-centered insightful dashboards
  • Creativity on Demand for the BI geek
Shubhangi Goyal
  • Crafting LLM Applications: Design, Build, and Evaluate
Ruben Delange
  • Beyond winning: leadership lessons from coaching a youth football team
Štěpán Rešl
  • Orchestration best practices in Microsoft Fabric
  • Dataverse in connection with Power BI and Microsoft Fabric
Ioannis Philippides
  • Building Custom Power BI Visuals: LEGO Bricks for Your Data World
Data Goblin, Ben Ferry, Sergei Gontcharenko
  • Seeking friends for the end of the world
Hasan Savran
  • How much SQL do you need to know as developer?
  • Hold my beer; I know how to fix this with Copilot!
  • Azure Cosmos DB for Developers: From Basics to AI
Markus Lehtola
  • Next step in Data Transformation: dbt Cloud Meets Microsoft Fabric
Martynas Jočys
  • Fabric for Power BI developer – great power never walks alone
  • Design Thinking for Data or How to elevate your Dashboard development process
  • Chart Choice Quiz - the secrets of visual encoding
  • From visualization to storytelling: creating a story-like experience in Power BI
Matthew Roche
  • The Hitchhiker's Guide to Microsoft Fabric (pre-conference)
Dr. Howard Polansky
  • Reduce Your Debt Fast without Living on Ramen Noodles
Geir Alstad, Vitalija Bartusevičiūtė
  • From Batch to Stream: Unlocking Databricks for All Your Analytics Needs
Kanokkorn Prasongthanakit
  • Everyday AI HealthTech - Practical Applications
  • Power BI Case Study: How business owners can benefit from data & AI?
Lucien Immink
  • Unlocking Seamless Collaboration: Design-First APIs for UI Components
Thibauld Croonenborghs
  • Single-node technologies vs. Spark in Microsoft Fabric: Choosing the right tool for the job
Abhilekh Verma
  • AI for Marketing Professionals- ChatGPT & Copilot
  • Advanced Microsoft 365 Mastery: Elevate Your Productivity
Mattias De Smet
  • Weaving Data Tapestries: Orchestrating Fabric Data Workloads with Airflow
Oskari Heikkinen
  • Warehouse in Microsoft Fabric: Architecture Deep Dive
Data Goblin
  • Use a data strategy to get in the best shape of your life
Attinder Pal Singh
  • Azure SQL DB Hyperscale: Scaling Modern Applications, Use Cases and Future Innovations
Frank Geisler, Marcel Franke
  • Releasing the Potential of Microsoft Real-Time Intelligence through AI Agents
Manai Mortadha
  • Empowering Copilot with Explainable AI: Enhancing Transparency and Trust
  • Decoding the Mind of AI: Explainable AI (xAI) in Large Language Models (LLms)
Mithun A. Sridharan
  • AI Compass: A Case Study From Strategy To Adoption
Bas Steins
  • Word Embeddings in Postgres for Contextual Search
Ben Ferry
  • Dax. Deneb. Datavis Galactica.
Sander Stad
  • Real-World Use Cases for Bicep in Enterprise Deployments
  • Automating SQL Server Security with Bicep and Azure Policy
  • Scaling the Cloud: Bicep & Terraform Deep Dive
Marin Niehues
  • What made Meta so successful and MySpace so bankrupt? The One Billion Dollar Rule
  • Unf*ck your mind: How to finally build something great again
  • Stop calling for "high performing teams" when your organization is stuck in C-Tier
  • Mr. Manager, tear down that wall: Why end-to-end teams are the only way to deliver real value
  • AI beyond the code: Taming the Human Factor
  • Agile, Scrum, Kanban: The Lies We Tell Ourselves About Productivity and Value
Gert-Jan ter Schure
  • (dev) containers and portable cloud development/admin environments
Glenn Colpaert
  • Optimizing Azure CosmosDB for Enterprise Applications
  • Endurance, failure and growth - bringing the runner's mindset to engineering
Anna
  • Brand new way of online shopping: data webshop at OTP Bank Hungary
Marnix Jansen
  • 🇬🇧 Understanding the most important concept in DAX: Evaluation Context
Chidi Nweke
  • An engineer's perspective to building successful generative AI solutons
Randi Vertongen
  • Syntax checking synapse serverless T-SQL pull requests with the ScriptDom parser
Brian Bønk
  • Fabric workspace monitoring - the easy way
  • With data, load - option (go fast)
Traci Sewell
  • Continuing those uncomfortable Mental Health conversations
Kevin Chant
  • Applying DevOps practices to your Power BI deployments in Microsoft Fabric
VJ
  • Unleashing Gemini: Google Cloud's Generative AI Powerhouse
Rahat Yasir
  • Developing, Validating, Moderating, Deploying and Monitoring LLM Applications in Azure AI
  • AI workflow designing, Can your AI decide which AI to use for which specific tasks?
Viorel-Felix Ciucu
  • Test your SQL Server estate with dbachecks and dbatools
nsherako
  • Optimize Performance Through Energy Management
uveta
  • Microsoft Copilot under the hood
  • Common pitfalls in developing generative AI applications
  • AI Security for a safer tomorrow
Koenraad Haedens
  • Leveraging Azure Developer CLI (AZD) for Efficient Data Science Workflows
Marc Lelijveld, Iqbal Khan
  • Extending Fabric Monitoring for custom requirements
Marc Lelijveld
  • Changing the way how we interact with data in the Era of AI
Sally Dabbah
  • Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric
Abhinav Jayanty
  • Change Data Capture Made Easy With Microsoft Fabric
Brian Bønk, Valerie Junk
  • Power BI vs. Real-Time Dashboards: It's Not Just About Looks
Abhinav Jayanty, Brian Bønk
  • The Ultimate Medallion Load Showdown: Azure vs Fabric
Ben Ferry, mike carlo
  • Visualize This! Mastering Vega-Lite and Deneb
Danny Kruge
  • Harnessing Microsoft Fabric for Real-Time Crypto Data Analysis with Azure Data Factory and Power BI
  • Seamless Cross-Tenant Azure SQL Migrations with Geo-Replication
  • Mastering Data Migration: Essential Standards and Protocols for Any Scale
  • Unlocking the Power of Optimization in Azure Data Factory
  • Chat With Azure SQL
Injae Park
  • Power BI SVGs - messy with AI, quick with Scripting