No-Code, Low-Code, Pro-Code: Unlocking Data Magic with Fabric Dataflows Gen2

In today’s data-driven world, different users need different tools, but they all share the same goal: getting trusted, clean, and useful data quickly. Whether you’re a business analyst, citizen developer, or data engineer, Microsoft Fabric’s Dataflows Gen2 meets you where you are, offering a flexible spectrum of options: no-code, low-code, and pro-code.

In this session you’ll learn how to build and manage Dataflows Gen2 using simple, no-code steps. Then, we’ll explore low-code techniques like Power Query transformations and parameterization to unlock more advanced capabilities. Finally, we’ll step into the pro-code space with custom M code and performance best practices for those needing full control.

You’ll see a real-world scenario built in three ways: no-code, low-code and pro-code, so you can compare the trade-offs, strengths and ideal use cases for each.

Whether you’re looking to simplify data prep, enhance automation, or enable governed data reuse at scale, you’ll leave with practical strategies and inspiration for making the most of Dataflows Gen2 in your projects.

Cristian is a “Project Management Professional turned into a Data Guy” working as a link between two worlds: Business and IT. Having worked for the last 20+ years with data in different roles he was fascinated when he discovered Power Query and Power Pivot back in 2014 and then, Power BI in 2015.

He’s holding several Microsoft Certifications (MS Fabric Analytics Engineer, Power BI Certified Data Analyst, Trainer (MCT), MCSE Data Management and Analytics, MCSA BI Reporting, MOS Master, Excel Expert, etc) and he loves getting insights from data and then, using these insight solving real business problems.

He is the founder of Romania Power BI and Modern Excel User Group (https://www.meetup.com/romaniapug/) and has been recognized as Microsoft Most Valuable Professional (MVP) in 2022.

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

Join our Microsoft Fabric - UK User Group for our latest webinar.

This session we are excited to announce our host Microsoft MVP Leon Gordon and co-host Microsoft MVP Pragati Jain will be introducing Microsoft MVP Thomas Martens.

Join the Microsoft Fabric UK - User Group on -

Microsoft Community - https://community.powerbi.com/t5/Power-BI-UK-User-Group/gh-p/pbi_UK_usergroup LinkedIn - https://www.linkedin.com/groups/8909321/ MeetUp - https://www.meetup.com/microsoft-power-bi-uk/

Session Abstract -

In this session, I'll provide a comprehensive introduction to Microsoft's latest analytical superpower—Microsoft Graph.

We'll start by exploring the fundamental ingredients of graph databases: nodes (your data entities) and edges (the relationships that connect them). I'll demonstrate how to combine these elements and add various "flavors" using GQL (Graph Query Language)—the newly standardized ISO query language that's making graph operations more consistent and portable across platforms. Spoiler alert: it's way more intuitive than wrestling with complex SQL joins that look like they were designed by someone who really, really loved parentheses.

To bring everything together, I'll showcase hands-on demos that illuminate the practical differences between these database approaches and demonstrate the impressive analytical capabilities of Microsoft Fabric Graph. You'll see real-world scenarios where graph analytics reveals insights that would be practically impossible (or at least incredibly painful) to extract from traditional tabular data.

This session is designed for both developers and architects, offering a dual perspective that balances the technical nitty-gritty with strategic architectural considerations. You'll gain practical insights into working with GQL tooling while also understanding the business challenges Microsoft Fabric Graph will solve.

Whether you're considering adding graph capabilities to your data platform or just curious about what all the graph hype is about, this session will equip you with the knowledge to make informed decisions and maybe even impress your colleagues at the next team meeting.

Biography

Thomas "Tom" Martens has been awarded an MSFT Data Platform MVP and works as a Solution Architect at Munich Re (www.munichre.com). For 25+ years, Tom has delivered Business Intelligence, Data Warehousing, and Analytics solutions. He applies analytical methods to small and large amounts of data and then provides users with the Microsoft Fabric and Power BI Platform to tackle analytical challenges. Tom is a regular speaker at international conferences and user meetings and co-authors the book Pro DAX with Power BI.

Social Media / Website Links linkedin: https://www.linkedin.com/in/tommartens68/

X: https://x.com/tommartens68 blog: https://publish.obsidian.md/minceddata/Minceddata/No+Copy+No+Paste+-+but

📅 Wednesday\, December 10th \| 🕢 19:30 CET \| 🌐 Online Event 🎤 Speaker: Brian Bønk (Microsoft MVP) In our third DP-600 preparation session, we shift focus to one of the most critical layers in any end-to-end analytics solution: the Semantic Model. This session is designed to help you understand not only how to build semantic models, but how to design them the right way — scalable, secure, and optimized for Power BI performance. Join Brian Bønk as he walks through practical guidance and exam-relevant techniques that every Fabric practitioner should master.

📚 What we’ll cover in Session 3

1️⃣ Add Measures to Semantic Models

How to define and structure your measures for clarity, reusability, and performance.

2️⃣ Design Scalable Semantic Models

Learn modeling strategies that support growth, multi-layer designs, and long-term maintainability.

3️⃣ Optimize a Model for Power BI Performance

Techniques to reduce dataset size, improve refresh times, and accelerate query performance.

4️⃣ Manage Power BI Assets

Understand workspaces, deployment pipelines, versioning, and governance from an engineering perspective.

5️⃣ Enforce Model Security

Row-level security, object-level security, and workspace access patterns that keep your models safe and exam-ready.

🎯 Who is this session for?

• DP-600 candidates
• Power BI developers transitioning into Fabric engineering
• Data modelers & analytics engineers
• Anyone building dashboards backed by complex semantic models

🔔 Call to Action

👉 RSVP today — spots fill quickly! 👉 Share the event with colleagues or friends working with semantic models or preparing for DP-600. Together, let’s build strong, exam-ready Fabric skills across the Athens and Berlin communities!

📅 Tuesday\, December 9th \| 🕢 19:30 CET \| 🌐 Online Event 🎤 Speaker: Brian Bønk (Microsoft MVP)

Our DP-600 preparation journey continues with a deep dive into the Microsoft Fabric Data Warehouse — one of the most crucial components for the exam and for building scalable analytics solutions. In this session, Brian Bønk, Fabric expert and MVP, will guide you through the complete lifecycle of working with a Data Warehouse in Fabric, from loading data to securing and monitoring it effectively.

📚 What we’ll cover in Session 2

1️⃣ Get Started with Data Warehouses

Understand how the Fabric Data Warehouse works, its architecture, and when to use it.

2️⃣ Load Data into a Data Warehouse

Learn the core ingestion paths, loading strategies, and performance considerations.

3️⃣ Query a Data Warehouse

Best practices for querying, performance optimization, and using SQL endpoints efficiently.

4️⃣ Monitor a Data Warehouse

Explore the tools and metrics needed to ensure reliability, performance, and cost control.

5️⃣ Secure a Data Warehouse

Learn essential security concepts: roles, permissions, row-level security, and workspace governance.

🎯 Who is this session for?

• Candidates preparing for DP-600
• Data engineers, analytics engineers & BI professionals
• Power BI users transitioning into Fabric engineering
• Anyone wanting a structured, expert-led understanding of Fabric DWH

🔔 Call to Action

👉 RSVP now to reserve your virtual seat! 👉 Share this event with colleagues or community members who are preparing for DP-600 or working with Fabric in production. Let’s grow our communities in Athens and Berlin with high-quality, expert-led learning sessions!

Speaker: Bianca Stratulat Start Date: Thu, Nov 20th 2025 · 7:00 PM EEST (5:00 PM GMT) Language: ENGLISH Location: Online (link visible for attendees)

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Description:

We’ll explore how to integrate Databricks and Power BI effectively, enabling your organisation to unlock real-time analytics and create impactful data stories.

You’ll learn how to: Leverage the Medallion architecture to design scalable and maintainable data workflows in Databricks. Seamlessly connect Power BI to Databricks and consume data for reporting and dashboards. Apply best practices for Direct Query vs Import, balancing real-time insights with performance and scalability.

Whether you’re a data engineer, analyst, or Power BI enthusiast, this session will provide practical techniques and lessons learned from real-world implementations to help you supercharge your analytics capabilities.

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At the end of the Meetup we'll have a Raffle with prizes offered by EDNA: 1 FREE one-year access Licenses on EDNA Platform for one lucky winner from the Live attendees !

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Speaker: Bianca Stratulat Databricks Champion & Chief Data Officer at UnifEye

Bianca is a Databricks Champion and Chief Data Officer at UnifEye, where she helps organisations unlock the full potential of their data using modern platforms and AI.

With over 10 years of experience in data engineering, analytics, and visual storytelling, she specialises in building scalable data solutions that bridge the gap between technical teams and business leaders.

She has been a speaker at the Databricks Data + AI Summit 2025 in San Francisco and regularly presents at industry events on topics like Lakehouse architecture, real-time analytics, and best practices for integrating Databricks with Power BI.

Bianca is passionate about empowering data communities and helping teams turn complex data into actionable insights that drive innovation and growth.

Connect with Bianca here:

• LinkedIn

Navigating the journey from Excel to Fabric (and back again!)

For decades, the entire business world has been built on the flexibility and power of spreadsheets. From rocket science to credit derivatives, a mind that could imagine it could implement it with nothing more than Excel formulas and cell references. But over time this has resulted in siloed, manual processes in “Shadow IT” where some of the most valuable data and logic in an organisation is locked away in these files. But it doesn’t need to be like that! The promise of Microsoft Fabric is to bring all your organisational data into a single place, in a single format where it can be extracted, shaped, enriched and secured once for use in any tool. So, from an organizational perspective, there are many benefits of such a unified data platform. However, it’s not obvious how you would take an Excel-based process (or financial model) and bring it into a Power BI and Fabric environment. Perhaps it’s overkill to even consider such a move, and it’s potentially a significant business risk if those analysts used to working in Excel haven’t yet developed the different skillsets required for Fabric. In this session we will take a financial credit risk model in Excel and go through the thought process and workflow for bringing this into Power BI/Fabric including:

• Considering how and why to use Power Query to combine and structure the data inputs into a star schema (which can be done in Excel!)
• Implementing the business logic with DAX, field parameters for increased flexibility and Translytical writeback to model scenarios directly from Power BI.
• Using visuals such as maps and dynamic scatter plots to tell a story with the data
• Breaking down the stages of data transformation/shaping into a medallion lakehouse structure in Fabric , with Row/Column level security at each layer
• Bringing the data at various layers back into Excel with this security model applies
• Querying the data model with Copilot and Data Agents to get AI powered insights

Attendees will come away with a view of how to drive “on the ground” business process transformation using Microsoft Fabric and ideas on how analysts used to Excel can think differently about the structure and re-usability of data, in order to take advantage of an enterprise level BI/Data platform.

Speaker: Pavel Adam Start Date: Thu, Oct 23rd 2025 · 7:00 PM EEST (4:00 PM GMT) Language: ENGLISH Location: Online (link visible for attendees)

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Description:

Hands-on session focused on declarative visualization in custom Power BI visual DENEB using vega-lite language.

I am going to show you DENEB equivalent of MS preview feature "in visual calculation" available in DENEB for years (e.g. accumulated sum / averaging free of custom DAX, data normalization and ).

Pros, cons and a mix of the best/worst practice, e.g. fields parameters and DENEB, how to address user defined parameters.

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At the end of the Meetup we'll have a Raffle with prizes offered by EDNA: 2 FREE one-year access Licenses on EDNA Platform for one lucky winner from the Live attendees !

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Speaker: Pavel Adam, PhD Power BI Consultant

Pavel is a seasoned Power BI consultant, educator and trainer.

His core expertise lies in back-end development, with a focus on advanced functionalities in Power Query and DAX, as well as the custom visuals and Power Apps integrated to Power BI.

Connect with Pavel here:

• LinkedIn

This is an Online event, the Teams link will be published on the right of this page for those who have registered. 18:30: The DAX Speed Blueprint: Locate, Understand, Accelerate - Joe Billingham 19:55 Prize Draw - Packt eBooks

Session details: The DAX Speed Blueprint: Locate, Understand, Accelerate - Joe Billingham Slow performing Power BI reports and visuals are a major cause of frustration. Finding the cause of these slow-downs and understanding why they are happening are the first steps in resolving them. In this session we'll discuss the troubleshooting steps for slow DAX executions, using tools like Performance Analyser and DAX Studio. We'll cover the different purposes behind the two parts of the DAX engine - Storage and Formula, and how to write expressions that target each individual component, allowing us to utilise their combined power to unlock the full potential of DAX. We'll see how optimising expressions in order to harness the power of these engines helps increase performance. This will be done using live demonstrations showing the actual difference in executions times as well as exploring query plans. By the end of this session, you will know how to identify which DAX expressions are causing issues in your reports, you'll have a solid understanding of what the DAX engine consists of, how the parts work together and how to use them to your advantage to make your expressions faster and more efficient. You will also know how to view a DAX query plan to help troubleshoot slow performing queries. Slow reports? Learn to identify and fix DAX performance issues! This session covers troubleshooting with tools like Performance Analyzer and DAX Studio, understanding the DAX engine's components, and optimizing expressions for better performance

Speaker: Joe Billingham Consultant @ Purple Frog Systems For more than a decade. I've been involved in the fascinating world of data! From SQL Server and SSIS, to Azure Data Factory, Synapse, Power BI, and more recently, Fabric. Day-to-day I'm a consultant and senior member of the data engineering team at Purple Frog Systems, and in my spare time I run the Microsoft Data Platform Birmingham user group as well as my own blog. Running a user group allows me to connect with amazing folks and either teach or learn from like-minded people. I've had the privilege of speaking at various user groups and conferences, giving back to the community wherever I can. There's more to me than just data! I'm also the creator of the Data Luthier blog, where I talk all things tech and give a sneak peek into my other passion: guitars! Yup, I'm a total guitar geek – from playing to collecting, fixing, and even crafting my own instruments.

X: @DataLuthier LinkedIn: linkedin.com/in/billinghamjh/ Blog: dataluthier.com

Building on the previous introductory session on Databricks, this talk takes things to the next level with a hands-on focus. We’ll explore how to integrate Databricks and Power BI effectively, enabling your organisation to unlock real-time analytics and create impactful data stories.

You’ll learn how to:

Leverage the Medallion architecture to design scalable and maintainable data workflows in Databricks.

Seamlessly connect Power BI to Databricks and consume data for reporting and dashboards.

Apply best practices for Direct Query vs Import, balancing real-time insights with performance and scalability.

Whether you’re a data engineer, analyst, or Power BI enthusiast, this session will provide practical techniques and lessons learned from real-world implementations to help you supercharge your analytics capabilities.

Presentation Title: 20 Power Query (M)agic Tips That Every User Should Know

Description: Self-service developers often have excel-files, SharePoint lists, Access databases, connecting to SQL database tables or views that IT maintains, multiple files, repetitive and manual tasks.

Furthermore, self-service developers aren't skilled in writing T-SQL or Python - we need another easier solution based on our competence levels and Power Query is defintely that tool!

This session will guide you through 20 tips and tricks on how to leverage Power Query and the (M)agic through UI, hidden gems and code to boost your use and understanding of Power Query.

Look forward to understand the difference between Power Query, Dataflows in Power BI and Fabric.

Whether you're just starting or looking for that one extra trick to optimize your workflow, this session covers it all.

Speaker: Cristian Angyal Start Date: Thu, Oct 9th 2025 · 7:00 PM EEST (4:00 PM GMT) Language: ROMANIAN ⚠️ Location: Online (link visible for attendees)

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Description:

In today’s data-driven world, different users need different tools, but they all share the same goal: getting trusted, clean, and useful data quickly. Whether you're a business analyst, citizen developer, or data engineer, Microsoft Fabric’s Dataflows Gen2 meets you where you are, offering a flexible spectrum of options: no-code, low-code, and pro-code.

In this session you'll learn how to build and manage Dataflows Gen2 using simple, no-code steps. Then, we’ll explore low-code techniques like Power Query transformations and parameterization to unlock more advanced capabilities. Finally, we’ll step into the pro-code space with custom M code and performance best practices for those needing full control.

You’ll see a real-world scenario built in three ways: no-code, low-code and pro-code, so you can compare the trade-offs, strengths and ideal use cases for each. Whether you're looking to simplify data prep, enhance automation, or enable governed data reuse at scale, you’ll leave with practical strategies and inspiration for making the most of Dataflows Gen2 in your projects.

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At the end of the Meetup we'll have a Raffle with prizes offered by ETA2U: 1 FREE Voucher for a Data Related Training Live with ETA2U for one lucky winner from the Live attendees !

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Speaker: Cristian Angyal ROPUG Founder, Microsoft MVP

Cristian is a “Project Management Professional turned into a Data Guy” working as a link between two worlds: Business and IT.

Having worked for the last 20+ years with data in different roles he was fascinated when he discovered Power Query and Power Pivot back in 2014 and then, Power BI in 2015.

Ever since he learned about the POWER tools he realized that these tools, with the ability to “learn them once and used them in multiple places”, could make a huge difference in the way Data is managed inside organizations. He’s holding several Microsoft Certifications (MCSE Data Management and Analytics, MCSA BI Reporting, MOS Master, Excel Expert, Trainer (MCT), Power BI Certified Data Analyst, etc) and he loves getting insights from data and then, using these insight solving real business problems.

Connect with Cristian here:

• LinkedIn
• X (ex-Twitter)

Unlock the full potential of your data. Discover how the Zero Copy integration between Salesforce Data Cloud and Snowflake creates a unified, trusted data foundation to power your AI strategy—without moving your data. We'll demonstrate how secure, governed bi-directional Zero Copy access enables real-time customer interactions and provides AI agents with the reliable context they need to succeed. Join an expert from our Munich Engineering team for an inside look at what makes Zero Copy possible: Hyper, Data Cloud's high-performance query engine, envisioned and built right here in Munich.

Karlsruher Data Community Treffen September 25

Im September steht das nächste Treffen der Datamonsters Karlsruhe an! Die geplanten Termine und Themen gibt's gesammelt hier auf der DataMonster Site. Auch dieses Mal haben wir wieder 2 spannende Monster Sessions: Carsten Oppitz zeigt in einer Demo den Einsatz von Fabric Real-Time Intelligence und Michael Riedmüller bringt Euch Lessons Learned beim Thema Deployment in Fabric näher. Dazwischen gibt es wie immer die Gelegenheit sich mit anderen Data Monstern bei Pizza & gekühlten Getränken auszutauschen. Wir treffen uns dieses Mal bei inovex, was ja manchen aus der Vergangenheit noch ein Begriff sein könnte. Organisatorisches Bitte meldet euch vorab über Meetup an, da die Teilnehmerzahl begrenzt ist. Für die mit dem Auto anreisenden Teilnehmer übernimmt inovex die Parkgebühren. Wir starten um 18 Uhr mit dem Event, die Vorträge dauern beide ungefähr eine Stunde +/-. Wir freuen uns auf einen interessanten Abend und natürlich darauf, viele von euch wiederzusehen! Stefan Kirner / Michael Riedmüller

Session 1: Fabric Real_Time Intelligence

Im Vortrag soll die Leistungsfähigkeit von Microsoft Fabric Real-Time Intelligence (RTI) präsentiert werden. In dieser Session wird gezeigt, wie man mit Fabric RTI Daten aus verschiedenen Quellen nahtlos aufnehmen, analysieren und in Echtzeit in Business-Entscheidungen umsetzen kann. Man sieht, wie sich die Tools nahtlos integrieren, um komplexe Datenpipelines zu vereinfachen. Was Sie in dieser Demo erwartet:

• Einführung in Eventstreams: Wir zeigen Ihnen, wie Sie Daten aus Quellen wie Kafka, IoT-Hub oder Azure Event Hubs in Echtzeit erfassen und verarbeiten können.
• Live-Analyse mit KQL-Datenbanken: Erfahren Sie, wie Sie mithilfe der Kusto Query Language (KQL) komplexe Abfragen in Sekundenschnelle auf riesigen Datenmengen ausführen, um Muster und Anomalien zu erkennen.
• Automatisierte Echtzeit-Reaktion: Wir demonstrieren, wie Sie mithilfe von Triggern und Warnungen sofort auf Ereignisse reagieren können, ohne manuelles Eingreifen.
• Visualisierung in Echtzeit: Sehen Sie, wie die Echtzeit-Daten direkt in Power BI-Dashboards visualisiert werden, um einen sofortigen Überblick über Ihre Geschäftsprozesse zu erhalten.

Diese Demo richtet sich an alle, die Echtzeit-Einblicke aus ihren Daten gewinnen und die Potenziale von Fabric voll ausschöpfen möchten.

Speaker: Carsten Oppitz ist seit 9 Jahren als Data Engineer in der Azure Cloud tätig. Er verfügt über umfassende Erfahrung mit Tools wie Azure Data Factory, Azure Synapse und Power BI. In seinen Projekten legt er großen Wert auf Continuous Integration und Continuous Deployment (CI/CD) von Infrastruktur, wobei er DevOps-Pipelines nutzt. Zudem entwickelt er mit seinen Kollegen APIs (Azure WebApps), die Daten für Drittanbieter bereitstellen.

Pause mit Pizza & Getränken

An dem Abend ist wie gewohnt auch für das leibliche Wohl gesorgt, nerd typisch gibt es vom Raumsponsor Pizza and Bier (& andere kalte Getränke).

Session 2: Fabric Deployment: Lessons Learned

Microsoft Fabric ermöglicht Nutzern, die bisher mit Tools wie Excel oder Power BI gearbeitet haben, einen einfachen Einstieg in die Welt der Cloud-Datenverarbeitung. Viele dieser Anwender sind jedoch mit den Konzepten von CI/CD und Deployment-Pipelines in Umgebungen wie Azure DevOps oder GitHub nicht vertraut. Stattdessen nutzen sie die integrierten Deployment Pipelines, um ihre entwickelten Artefakte von einem Entwicklungs- in einen Test- oder Produktions-Arbeitsbereich zu überführen. Während die offizielle Dokumentation diesen Prozess oft als unkompliziert darstellt, sehen sich Anwender in der Praxis mit verschiedenen Herausforderungen konfrontiert. Dieser Vortrag beleuchtet genau diese Hürden und zeigt praxiserprobte Lösungen auf. Es wird demonstriert, wie du bereits in der Entwicklungsphase die Weichen richtig stellen kannst, um das spätere Deployment zu vereinfachen, und wie die korrekte Reihenfolge der Schritte Probleme von vornherein vermeidet. Wir behandeln im Live-Demo-Modus die spezifischen Anforderungen beim Transfer verschiedener Fabric-Artefakte wie Lakehouses, Warehouses, Pipelines, Dataflows, Notebooks, semantische Modelle und Reports, um einen reibungslosen Deployment-Prozess zu gewährleisten. Speaker: Michael Riedmüller Michael arbeitet seit mehr als 20 Jahren in Projekten im Umfeld von Microsoft Produkten. Aktuell ist sein Schwerpunkt eher in Richtung Data Engineering, Power BI oder auch Fabric gewandert.

Organisatorisches Bitte meldet euch vorab über Meetup an, da die Teilnehmerzahl begrenzt ist.

Wir starten um 18 Uhr mit dem Event, die Vorträge dauern beide ungefähr eine Stunde +/-.

Wir freuen uns auf einen interessanten Abend und natürlich darauf, viele von euch wiederzusehen!

Stefan Kirner / Michael Riedmüller

Speaker: David Kofod Hanna Start Date: Thu, Sep 25th 2025 · 7:00 PM EEST (4:00 PM UTC) Language: ENGLISH (with Live Translated CCs) Location: Online (link visible for attendees)

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Self-service developers often have excel-files, SharePoint lists, Access databases, connecting to SQL database tables or views that IT maintains, multiple files, repetitive and manual tasks. Furthermore, self-service developers aren't skilled in writing T-SQL or Python - we need another easier solution based on our competence levels and Power Query is definitely that tool!

This session will guide you through 20 tips and tricks on how to leverage Power Query and the (M)agic through UI, hidden gems and code to boost your use and understanding of Power Query. Look forward to understand the difference between Power Query, Dataflows in Power BI and Fabric.

Whether you're just starting or looking for that one extra trick to optimize your workflow, this session covers it all.

=============================================================== Speaker: David Kofod Hanna

David is a Senior Advisor, trainer and speaker at twoday in Denmark.

David’s passion is to guide self-service Power BI developers for more enterprise manageable concepts in a consumable and practical way - because he has have been on that journey for years, and still is, thus bridging the gap between classic data engineer and business analysts. With a decade of experience as a consultant and a background in master’s in business Intelligence,

David has advised and trained companies on the use of data from small to enterprise organizations. Driven by both professional expertise and empathy, David stays up to date with technological advancements, specializing in Power BI, Microsoft Fabric, Tabular Editor, governance and User Experience – including certifications as MCT, DP-600, DP-700, PL-300, CPUX-F, PL-900 and certified Tabular Editor 3 Trainer.

David has a strong ability to put people first, using patience, enthusiasm, presentation skills, and a smile to achieve results that truly make an impact. Over the years, he have conducted 200+ training courses with consistently high satisfaction scores. In his spare time, David enjoys sports like football & running and spending time with his family and kids.

Connect with David here:

https://github.com/DKH-DK/Self-Service-Power-BI-Fabric AND https://www.linkedin.com/in/davidkofod/ AND https://www.linkedin.com/newsletters/7237000963331420162/