Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
in 72 days

dataMinds Connect 2024

event starts

7 Oct 2024

event ends

9 Oct 2024

location

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

website

datamindsconnect.be

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 17th 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 in person again, 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 7th, Tuesday October 8th, and Wednesday October 9th 2024 in your schedule, as these will be 3 days you don't want to miss! You've read that right, 3 days! We've chosen to add on an extra conference day on Wednesday October 9th, to make even more incredible sessions available to our attendees.

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 2021, 2022, 2023, or a small collection of photos taken on the conference day (Tuesday) of previous editions in 2021, 2022, and 2023. 

finished 56 days ago
Call for Speakers
Call opens at 9:00 AM

14 Feb 2024

Call closes at 11:59 PM

31 May 2024

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

TALK TO 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 here, so there is nothing we can't have a civil conversation about to figure things out. 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 be already booked. 

We will be closing the Call for Precon sessions 2 weeks earlier (Friday May 17th 2024). 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, and 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 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:

  • Wednesday February 14th 2024: Call for Speakers open
  • Friday May 17th 2024: Call for Precon Speakers close
  • Friday May 31st 2024: Call for Speakers close
  • Thursday June 6th 2024: Session selection process
  • Friday June 7th 2024: Session selection feedback
  • Tuesday June 11th 2024: Ticket Sales open
  • Thursday June 20th 2024: Schedule announcement to public (Precon & Regular Sessions)
  • Monday October 7th 2024: Precon Day
  • Tuesday October 8th 2024: Conference Day
  • Wednesday October 9th 2024: 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.

781 submissions
Submitted sessions
Liping Huang, Silviu Tofan, Athulya Ramamoorthy, Marius Panga
  • Technical Keynote - Azure Databricks
Abhinav Jayanty
  • Leveraging Knowledge Graphs in Neo4j to Power Up Your LLMs!
  • The Art of Conference Speaking Without Knowing Anything
  • Streamline Your Fabric Capacity Management With REST APIs
  • The Sixth Sense: Using Log Analytics to Efficiently Monitor Your Azure Environment
  • Moneyball: How Data and AI have Revolutionised Analytics in Sports
Steve Campbell
  • Designing Efficient Architectures: Best Practices for Governance, Security, and Sharing Policies
  • DAX fundamentals: what is filter context?
  • Demystifying OneLake and Delta (Parquet): A No-code, No-jargon Introduction
Denis Selimovic
  • The Gitfather: Power BI's new deployment possibility you can't refuse
  • Mirror, mirror on the wall: which Power BI Mode to choose after all?
  • Fishing for Insights: Exploring Fabric OneLake and DirectLake Mode in Power BI
  • Mastering the fundamentals: why the basics are the key to success in Power BI
  • Beyond the Logs: Find out what's really going on in your tenant with the Power BI Scanner API
  • Right here, right now - possibilities of near-real-time data in PowerBI
Rishi Sapra
  • Storytelling With Data
  • Power BI, Fabric and role-based Copilots - how to get them to do what you expect!
  • What Microsoft Fabric means to a Finance professional
  • Power BI and Fabric Governance – Going from the skies to the ground!
  • Financial Modelling in the Banking Industry
Robert Hawker
  • Fabric Capacity Management
  • Delivering high quality Fabric content
Sebastiaan Leysen
  • Data mesh in Databricks: Practical insights from a large-scale public sector implementation
Devang Shah, Johan Ludvig Brattås
  • Synapse Real-Time Analytics to Fabric Real-Time Intelligence: What & why?
  • Real-Time Hub: Starting Point of Real-Time Intelligence in Fabric
Sammy Deprez
  • Guardians of the Promptiverse: Ensuring LLM Safety and Security
Jens Vestergaard
  • Using Azure EventGrid w/ Fabric Notebooks
show all submissions
Vladyslav Ishchenko
  • Optimizing Performance of Large Semantic Models in Power BI
  • Accelerating Your Power BI Projects with Tabular Editor C# Scripts
Romera Hillebrandt, Nikki Doorhof
  • NN's Successful Application of ChatGPT Technology for Automated Call Logging
Cédric Charlier, Hélène Kielbowicz
  • Help! My data product is invisible.
Ryan Rad
  • Eyes in the Sky, Rights on the Ground: Privacy-Preserving AI for Satellite Imagery
  • Environmental Sustainability and Earth Observation via AI and Satellite Imagery
Arne Goossens
  • Microsoft Fabric Power BI Workflow Optimization
  • Streamlined Power BI Workflow: Automate Documentation, Systemize Development and Collaborate
Jarid McKenzie
  • Faster Analytics - Optimizing the Data Engineering Process
  • Demystifying Delta Parquet - The Foundation of the Lakehouse
Florian Boigner, Francesco Fava
  • Swamped with Fabric updates? Let’s discuss how to keep up
Gianluca Sartori
  • My Application is Slow: Now What?
  • SQL Server Infernals – A Beginner’s Guide to SQL Server Worst Practices
Nico Jacobs
  • Build your smart application with Azure AI Studio
  • The Power of Paginated Reports
  • Are Visual Calculations the solution to my Power BI challenges?
  • Taking the first hurdle: Time intelligence with DAX
  • Getting started with SparkML in Microsoft Fabric
  • Deeper Dive Down DAX
  • The Five Faces of Fabric
Nelva Lee
  • Personal Responsibility when Engaging with Your Diverse Workforce
  • Personal Responsibility when Engaging with Your Diverse Workforce
Jeremy Delacroix
  • lessons learned for DBT & airflow from an azure databircks lover
Pieter Delaere
  • How to boost data literacy: data documentation on steroids
Adriana Quintero
  • Beyond Technology: How to Sell a Data Platform Project to your Management Team?
  • Beyond Technology: How to Sell a Data Platform Project to your Management Team?
Ginger Grant
  • Generating Innovation: Change is not Artificial, it is Intelligent
Gianluca Sartori, Frank Geisler
  • Battle of Time Series: SQL Server 2022 vs. ADX vs. InfluxDB
Simon Binder
  • MIP and Purview for data assets - from the view of a Microsoft 365 professional
  • Using and Abusing Microsoft Copilot
  • Intro to Microsoft Entra for Data Professionals
Sergey Olontsev
  • Inside the Query Engine: Comparing PostgreSQL, MySQL, and SQL Server
  • From Basics to Brilliance: A Complete Guide to PostgreSQL Indexing
  • Empower Your Data Warehouse with AI-Driven Conversational Capabilities
Sarah Beshr
  • Harnessing the Power of Dataflows Gen 2 in Power BI: When, Why, and How
Matthias Rochtus
  • Unleashing Efficiency: Mastering CI/CD with Microsoft Fabric and Azure DevOps
Odeta Jankaitienė
  • Making Your Life Easier with Rest APIs
  • Powerful Synergy: Integrating Git and Power BI for Enhanced Collaboration
  • Unlock the Power of Power BI with the Design
  • Enhancing User Experience with Embedded Power BI Content
Odeta Jankaitienė, Mantas Umbrasas
  • Double Power: Power BI and Power Apps Integration
Tonie Huizer
  • Enable Self-Service Provisioning of Versioned Databases from Azure DevOps
  • Database DevOps...CJ/CD: Continuous Journey Continuous Disaster?
  • How to achieve DBA approved Entity Framework migrations
  • Git Your Database Under Control: a 1 day VCS + CI/CD workshop for your database development
Yvette Lovas
  • Design Thinking in the BI Product Lifecycle
Sylvio Rodriguez
  • Financial reporting with Profit base matrix
Arthur Dorzee
  • Building Performant RAG Applications on Azure
  • Embarking on Your Generative AI Journey with Azure
Anu Singh
  • Supercharge Your Data Analysis with Azure Databricks and Microsoft Fabric Integration
  • Boosting Efficiency with Copilot in Microsoft Fabric
Joris Poelmans
  • Building a financial portfolio dashboard with Streamlit and Azure
  • Data Wizards Unite: Conjuring Customer Satisfaction with Analytics and AI
Louis Vincent, Reiner De Smet
  • The state of tackling OT data with Azure
Paulina Jędrzejewska
  • The Sidekick's Guide to Supercharging Power BI Heroes
  • Give the Power to the Users
  • Calculation Groups & C#: Happily Ever After in Advanced Power BI
  • Calculation Groups & C# - The Perfect Couple
Jesper D. Christoffersen
  • From Dull to Dazzling: Unlocking the Secrets of Visual Reporting Without Losing Your Data (or Mind)
Bob Debus
  • Crafting Secure Financial Reports with PowerBI and Databricks
Benoît Zwartjes
  • Databricks, Fabric or Both: Building a Robust and Cost-Effective Analytics Solution
  • DBT and fabric: Put into practice
Filip Popović, Stijn Wynants
  • Mastering Fabric Warehouse Performance
Andy Cutler
  • Up and Running: How to make your Microsoft Fabric Proof of Concept a Success
  • The Reality of Fabric Warehouses and Deploying Models using Dbt
  • Microsoft Fabric Warehouses for the Database Administrator
Brecht Vanhee, Thijs Vermeire
  • How to organize analytical master data in the Power Platform with Dataverse and Microsoft Fabric?
Nicky van Vroenhoven
  • Making The Most Out of The Power Platform
  • Optimizing Your Power BI Workflow with Project Files, Source Control, and TMDL
  • A Day In The Life Of A(n Accidental) Fabric Administrator
  • A Deep Dive Into The Power BI Direct Lake
  • What are Power BI External Tools and How Can I Use Them?
Stijn Wynants, Filip Popović, Sowmya Sivaraman, Priyanka Langade, Dharini Sundaram
  • Fabric Warehouse PM: Ask us Anything
Jorge Garcia Ximenez, Pierre Malarme
  • Unlocking Potential: Multi-Agent Systems for Software Development and Data Analysis
Kris van der Mast
  • A gentle introduction to Python
  • Embracing Agile Documentation: A professional approach to streamline your technical writing process
Maria Lys
  • Beautiful and Smart: A User-Centric Approach to Data Visualization.
Bart Buvens
  • Data to the people! How to set up Power BI for Self Service
Raphaël Voortman
  • Near-real-time large-scale streaming with Databricks and Microsoft Fabric
Daniel Rohregger
  • Microsoft Copilot: Adoption Best Practises
  • Cut IT costs with (M365) Copilot and AI
Dries Gielis, Cedric Raeymaeckers
  • The cycle of Microsoft Fabric’s life.
Dries Gielis
  • I have a real-time streaming pipeline, nice! What now?
  • A Unified Data Governance solution using Azure Databricks, is that really possible?
Mark Pryce-Maher
  • Metadata Sync : The magic behind Fabric
  • Fabric Mirroring
  • Unleashing Power BI's Potential with Fabric Mirroring: A Complete Guide
Sowmya Sivaraman, Dharini Sundaram
  • Everything you need to know about Billing in Fabric Data Warehouse
Bujtor Mate
  • Exploring Power BI Developer Mode
Salil Kanade
  • A SQL Developer's Paradise: Harnessing Fabric's Innovations
Jacinda Eng, Priyanka Langade
  • Deep-diving Through the Mysteries of SQL Monitoring in Microsoft Fabric Data Warehouse
Christian Henrik Reich
  • ML and AI Capabilities in Microsoft Fabric
  • An Apache Spark query's journey through the layers of Microsoft Fabric
  • Setting up Fabric Capacities in Azure: How to and considerations
Ioannis Philippides
  • Power BI Warp zone: ChatGPT Embedded - Super Mario Quest Begins!
Heini Ilmarinen
  • Riding The Wave of Everchanging Technologies
  • Reaching for Data with Microsoft Fabric
  • Streaming unlocked in Azure Databricks
  • A Picture is Worth a Thousand Words
Vanessa Araújo
  • Realise the data mesh promises with Microsoft Fabric
Lauren Faber (SHE/HER), Anita Ambalavanan
  • Driving Productivity and a Data-Driven culture with Power BI in Microsoft 365
  • Getting more from your data with Power BI Copilot
Carlo Dieltjens
  • Performance Boosing With DAX
Catalin Gheorghiu
  • Considerations on what AI Vision solution to use
Esa Denaux
  • Effective Data Quality Checks and Monitoring with Databricks and Pandas
Dhyanendra Singh Rathore
  • Integrating and Enforcing Power BI Best Practices with Azure DevOps pipelines
  • Supercharging Power BI Development with game changing tools and tricks
  • Automated Data Validation in Power BI - Using Power Automate to validate data refresh
Jan Meskens
  • Data Strategy: Your First-Class Ticket to Data Nirvana
Olivier Van Steenlandt
  • Database Deployment Automation using Database Projects & Azure DevOps
  • Improving Team Collaboration Using Database Projects and Azure DevOps
  • Agile BI/Data Development
  • Migrating from SSRS to Power BI Paginated Reports
Erwin de Kreuk
  • Expand your Fabric environment with Microsoft Fabric Workloads
  • Microsoft Purview what does this mean to me as an organization?
  • Onelake with Fabric, The Data Lake-as-a-Service Platform
Metin Hatipogullari
  • GenAI's self-service BI on steroids: Enhancing your data platform for better business decisions
Craig Porteous, Grace O'Halloran
  • Tightening the Threads: Enhancing Network Security in Microsoft Fabric
Maarten van Stiphout
  • ‘Data Quality First’: Concrete & effective data governance with Azure Purview, Databricks, Power BI
Julia Førde
  • Technical Walkthrough: Integrating Dynamics 365 data into a Medallion Architecture
  • Increase agility, quality and productivity with template based notebooks in Databricks
Lize Coekaerts
  • Unlocking Marketing Efficiency: From Ad-Hoc to Structural Segmentation Using Azure Services
Ust Oldfield
  • Don't be afraid of change! Learn about schema evolution and watch your data grow and evolve
  • DataWatch: Seeing the Unseen in Data Platforms and Products through Observability
  • Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches
Lothar Verledens
  • Next gener-ai-tion migration: Translating code and reducing guesswork with GenAI
Andreas Geysegoms
  • dbt and Fabric - a match made in heaven?
Joël Vangrunderbeeck
  • Multi language reports in Power BI
  • Creating an Agile work environment with DevOps for BI developers
  • Fabric use case @Hubo
  • Working with Power BI and GIT
  • Embedding Power BI reports on your own portal
Štěpán Rešl
  • Data-driven alerts in Power BI
  • Level-Up your Power Query game with Custom Functions
Linda Torrång
  • Empowering Success: Focusing on End-User Engagement with Power BI
  • Effortless Row-Level Security: Automate and Centralize
  • Multitasking for Mortals - How to Stop Multitasking and Start Getting Things Done
Parcifal Van Gucht
  • Power BI CI/CD: Build your collaboration strategy!
Silviu Tofan, Marius Panga
  • Databricks Serverless SQL - Bundling Performance and Observability
Silviu Tofan, Athulya Ramamoorthy
  • Multi-Layered Isolation Protecting Your Data in Databricks Serverless
  • Scale to 500k+ Users: Databricks SQL & Unity Catalog in Action
Wout Cardoen
  • Optimize your Azure Data & AI platform for peak performance: rethink security and stability
Arne Goossens
  • Master Power BI Datasets: Streamline Model Development, Documentation, and Collaboration
Stijn Wynants, Filip Popović
  • Fabric Espresso: Lungo Edition!
Stijn Wynants, Dharini Sundaram
  • Microsoft Fabric Warehouse Security: Everything you need to know
Roman Tesolkin
  • Power BI Fabric with Copilot and ChatGPT - Exploring Successes, Failures, and Lessons Learned
  • Mastering the Mind: Leveraging Adult ADHD in the World of Data Analysis
  • Turning Data into Influence: Lessons from Disney+ Inspired Visual Storytelling in Power BI
  • From Boring to Brilliant, Escaping Mediocrity: 5 Design Mistakes to Avoid in Power BI
John Martin
  • How to Run Successful Proof of Concepts (POCs)
  • Data Engineering and the rise of the API
  • Defining and Deploying a Data Platform with Terraform.
  • Up and Running with Terraform
  • The Swiss Cheese Security Pattern
  • The importance of data testing in data engineering.
  • Data Warehouse in a Day!
Craig Porteous
  • Data sharing without the USB sticks - an intro to External Data Sharing
  • Fabric Automation: Unlocking the power of the API
  • Implementing a medallion architecture in Fabric
  • Designing for a Data Mesh in Microsoft Fabric
Fabrice Deseyn
  • Data Quality uniformisation across Fabric and Databricks
Marnix Jansen
  • International Business Communication Standards
  • New in Power BI
Jasper Taminau
  • Power BI and Copilot, is it a first date or a true love story?
Wouter Pardon
  • Enhancing Data Integration: Building a Development Environment for a data warehouse
Susana Blaya
  • Ethical challenges in AI and Journalism: Empowering women in the digital age
Alexander Arvidsson
  • Dodging DAX - Data Modelling by Example
  • Not my Problem(?) - Azure Networking 101 for Azure SQL Server DBAs
  • Roche's Maxim of Data Transformation - By Example
  • Flight Planning - How Governance Can Save You a Fortune
  • Hands-on Lipstick on a Pig - Improving a Power BI Report Step by Step
  • Presentation Skills Masterclass
Johannes Vink
  • A journey from classic data warehousing to data engineering based on a customer story
Edmond Qarolli
  • Microsoft Power BI and SAP, a(n) (un)happy Marriage
Dr. Jihen Karoui
  • Bridging the genAI gap: balancing data engineering, security and compliance
Athulya Ramamoorthy, Marius Panga
  • Hey Databricks, how do I talk to my Lakehouse?
Tom Thevelein
  • The Generative AI Realm of Microsoft
Maryam Ilyas
  • Microsoft Fabric in the Journey of an Analytics Engineer and Data Mesh
Nick Verhelst
  • Start 2 MLOps: From the lab to production
David Ariens
  • Breaking the OT Data Barrier - The role of sensor data quality and operational data platforms
Luke Menzies
  • A new era of safeguarding - Protecting your LLMs against risks and vulnerabilities
  • Lakehouse Monitoring, the missing piece of the MLOps puzzle
Alex de Groot
  • LLMs on (Guard)Rails
  • Rethinking databases... let's go serverless all the way!
Jan Van Meirvenne, Michael Van Braeckel
  • From lone wolf to the pack: scaling PowerBI beyond the pbix
Sarath Sasidharan, Gabi Münster
  • Govern your Data on Fabric and Beyond
  • Govern your Data on Fabric and Beyond : A Pre-Conference Exploration
Tom Van Breuseghem, Senne Vanstraelen
  • Enhancing Microsoft Purview: Automating data lineage for Synapse Spark Notebooks
Johan Vanwetswinkel
  • Maximizing Data Governance with Microsoft Purview
Tori Tompkins
  • Leveraging Azure Machine Learning for LLMOps
  • Journey to the Centre of Large Language Models: A Beginner's Guide to Gen AI
Simon Whiteley
  • What's wrong with the Medallion Architecture?
Benni De Jagere
  • *FFS*: Five Fierce Speeches
  • A Students’ Guide to Data Literacy, and how to create Effective Reports (with Power BI)
  • A guided tour of Microsoft Fabric
  • Setting yourself up for success when submitting to present
  • Troubleshooting Power BI Reports
  • Understanding Fabric Capacities
  • Using Lakehouse Data at scale with Power BI, featuring Direct Lake mode
  • Uncovering Secrets and Mysteries in your Power BI Tenant
  • Using Microsoft Fabric to become an analytics super hero!
  • You're a Power BI Admin? Let's get your threads aligned for Fabric!
  • Star Schema ALL the things! But why?
  • Pie Charts. Friend or Foe?!
  • Low friction data transformation and data movement using Fabric Dataflows
  • Keeping the "Direct" in Power BI DirectQuery
  • Fabric for the Data Analyst
  • Designing impactful visualisations for your data
  • Asking questions to get meaningful answers
  • An hour in the life of Power BI Reports
Benni De Jagere, Simon Whiteley
  • Slide Karaoke - Ultimate Showdown!
Veerle Hemeryck, Jasper Taminau
  • KPIs in Power BI: the power of Scorecards and Metrics
Aditya Badramraju
  • Elevating Data Engineering: The Power of Azure SQL Hyperscale
Enrico van de Laar
  • Protecting and working with sensitive data in Azure
  • Data privacy for data professionals
Tom Carlier
  • Geographical data processing using Databricks Mosaic
Alessio Nigro
  • From Spotify to Smarter Insights: Exploring Databricks' Intelligence Features
Robert Hartskeerl
  • Security is not a feature
  • Time for recoffeery!
  • Getting to know the Storage Engine
Frederik Druyts
  • infinite dataCon: Gen AI from concept to production
Shereen Thor
  • Revolutionary Leader: How to lead Authentically to Increase your Impact
Brecht Vuylsteke
  • Azure Arc for your hybrid SQL Server landscape
Maarten Herthoge
  • Actionable IoT data drives automation and efficiency at the water-link
Michael Schwaenen
  • Enhancing Stakeholder Satisfaction with Power BI Paginated Reports
  • 'Excel' in Power BI, or rather don't
  • Embark on Your Power BI Odyssey: A Comprehensive Guide for Beginners!
Just Blindbæk
  • Demystifying the Data Lakehouse in Fabric
Just Blindbæk, Ásgeir Gunnarsson
  • Optimizing Fabric: A Deep Dive into Workspace Management
Emilie Rønning
  • Become the ADF pipeline guru in your organization
  • Demystifying Azure and the administrative structure of the cloud
  • Make your solution sparkle with the medallion architecture
  • Azure Databricks vs. Microsoft Fabric - what really is the difference?
Thomas Vissers
  • Security in the LLM Era: The Good, the Bad, and the Ugly
Just Blindbæk, David Kofod Hanna
  • Mastering Unified KPI Reporting Across Semantic Models in Power BI
Just Blindbæk, Christian Henrik Reich
  • Transforming Data into Gold: A Live Demonstration of Microsoft Fabric Lakehouse
Eyitayo Alimi
  • Application Security : Securing Customer Data
Mathias Halkjaer
  • Supercharge Power BI with Microsoft Fabric
  • When data lies - typical patterns for manipulating data
  • A deep dive into Direct Lake
  • Complex access control with Row-Level Security
  • Organizing Your Data Lake
Eray Boynuince
  • Key concepts of developing an API in Azure
Rune Ovlien Rakeie
  • Cracking the Code: Unlocking the Power of Prompt Engineering
Charles-Henri Sauget, Matthieu Roy
  • Industrialize data transformations using dbt on Azure
Traci Sewell
  • Talking about mental health for you and for them
Rob Sewell
  • Speeding Up PowerShell for dbachecks
  • What makes a good commit? Good Practices for Data Professionals
  • The new era of SQL Development -sqlcmd, data api builder,azd and more
Isabelle Van Campenhoudt, Charles-Henri Sauget
  • Empowering Data Sharing: Fabric's Role in Collaborative Data Ownership
Isabelle Van Campenhoudt
  • Prompt your code and see if the AI enhance it.
Thomas Kronawitter
  • There is no talent shortage in Data & Analytics!
Bronwen Zande
  • From Dormant to Dynamic: Upcycling Documents with AI
  • Data Unleashed: A Developer's Perspective on Navigating the Architecture Maze
Colette Grail
  • From Data Points to Predictive Analytics: creating your personal Digital Nervous System Health (Reco
  • Navigating Complexity in Emergency Response: The Data Dilemma
Sai Prudhvi Neelakantam
  • Near-Real-Time Video Recognition using Azure AI and Microsoft Fabric
Hannes Cassiers, Bart Buvens
  • Elevate Your SOX Compliance Game: Power BI Version Control & CI/CD Unleashed
Danny Kruge
  • WTF (What The Fabric)
Koen Verbeeck
  • How I saved 80% on my Azure Data Factory Costs
  • Building the €100 data warehouse with the Azure Data Platform
  • Table Maintenance for Improved Performance in Microsoft Fabric
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