Data & Analytics Events in Europe

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You've got your database schemas, your ERDs, your data dictionaries but how do you get from there to a working ontology? In this session, we'll unpack that question step by step. We'll look at where data models and ontologies overlap and where they diverge. Whether you're starting from an existing model or building both from scratch, this session will give you a practical framework for connecting structure to meaning.

Cześć!
Startujemy z kolejnym rokiem akademickim z Power BI i Fabric!
Zapraszamy na 36 spotkanie użytkowników Power BI oraz Fabric w ramach roku akademickiego 2026/27.
Zapraszamy osoby pracujące Power BI i Fabric, jak również zainteresowane tymi technologiami czy dopiero rozpoczynające swoją przygodę z Business Intelligence.
Dotychczasowe poruszane tematy można zobaczyć na stronie Krakowskiej Grupy Power BI & Fabric (Meetup) oznaczane również #KRPBIFUG.
Spotykamy się w środę 2026-09-23 korzystając z uprzejmości Uniwersytetu DSW Ideis Kraków.
Ulica Świętego Filipa 17. Sala Toronto. Start o 18:00.
Jeśli chcesz przyjść, prosimy potwierdź obecność, jeśli nie możesz, po prostu odwołaj - dla nas kto cenna informacja.
A co tym razem? Rzuć okiem poniżej.

Agenda

• 18:00 - 18:10 - Intro
• 18:15 - 19:15 - Marcin Kostka - "Terraform & MCP - alternative ways of deploying data platforms on Fabric" [EN]
• 19:15 - 19:35 - Pizza Break & Networking
• 19:35 - 20:35 - Katarzyna Pikus i Damiano Gentiletti - "PBIP: The Key That Opens the Door to AI‑Driven and Version-Controlled Power BI Development" [EN]
• 20:35 - 21:00 - Outro & Networking

Bio prelegentów i abstrakty sesji
Marcin Kostka
Marcin is a Cloud Delivery Architect at PwC, where he develops data platforms for clients across various industries. He specializes in the Microsoft data stack, including Fabric, Azure, and Power BI.

Abstrakt sesji:
This session compares two approaches to provisioning Microsoft Fabric - both alternatives to clicking through the Fabric portal. We'll start by explaining the concepts behind each: Terraform, using the Fabric provider to define workspaces, connections, and items as code, and MCP, connecting Claude directly to the Fabric REST API for conversational, ad-hoc management. We'll then walk through configuring both, followed by live demos deploying the same resources each way.

Katarzyna Pikus
Katarzyna Pikus is a Data Sharing Leader specializing in Business Intelligence at Inter IKEA Group, where she combines technical depth with a passion for transforming how organizations work with data.
She focuses on continuous improvement of BI development practices, applying Agile and Lean principles to streamline workflows and elevate solution quality. Recently, she has become particularly engaged in exploring how emerging AI capabilities can enhance Power BI development—bridging the gap between AI innovation and practical BI delivery. Her work centers on using AI to accelerate development, improve DAX quality, automate documentation, and make advanced analytics more accessible across teams.
As an active contributor to Inter IKEA’s global Power BI community, she regularly engages over 100 colleagues every six weeks, fostering knowledge‑sharing and inspiring others to experiment, learn, and grow. Her commitment lies in making complex data approachable, empowering people to use modern BI and AI tools with confidence, and shaping a future where analytics is both scalable and truly user‑friendly.

Damiano Gentiletti
Damiano is a Data Sharing Leader at the IKEA Group since October 2025.
He has joined IKEA as Frontend Developer specializing in Power BI in 2023, bringing with him valuable experience from his previous role as Business Solution Engineer. There, he navigated the intersection of Data Engineering, Business Analysis, Data Modeling, and Frontend Development. He’s passionate about leveraging his technical skills to develop cutting-edge solutions, with a strong emphasis on automation.
Within his current team, he has successfully established the infrastructure for version control of Power BI projects using git - in line with the current industry standards and practices.
In addition to his technical endeavors, he is significantly involved in training and mentoring his colleagues, and regularly shares his knowledge through presentations at internal events. He is consistently eager to collaborate with others to drive innovation and efficiency in analytics solutions

Abstrakt sesji:
As Power BI continues to evolve, more data professionals are adopting the PBIP file format to modernize their development workflows. PBIP unlocks a flexible environment for professional version control, smoother team collaboration, and direct interaction with the underlying code.
In this session, speakers will take a critical look at PBIP: its strengths, its limitations, and the practical realities of using it in day‑to‑day development. You’ll see how PBIP simplifies version control, supports developer‑friendly collaboration, and opens the door to advanced techniques such as AI‑powered enhancements and MCP server integration.
What you’ll learn:
Version Control : How PBIP enables structured, reliable tracking of changes and supports modern DevOps workflows.
Collaboration: Real experiences showing how PBIP reduces bottlenecks, improves communication, and makes multi‑developer projects more efficient.
Innovative Techniques: Practical PBIP tricks, including AI‑assisted development and working with MCP servers to streamline complex tasks.
Join us to explore hands‑on strategies and lessons learned from real projects, helping you adapt PBIP to your own data challenges and elevate your Power BI development practices.

The future of tech isn't something we wait for; it's something we build together.

Join us on 23 September for a special PyData Exeter event at the Royal Albert Memorial Museum & Art Gallery (RAMM).

AI isn't just changing how we write code. It's changing how we build digital products, collaborate as teams, mentor the next generation of engineers, and create value for our users. This transformation presents challenges, but also an opportunity for our communities to actively shape what comes next.

With the support of Devon County Council, we are bringing together the communities of PyData Exeter, Tech Exeter, ProductTank Exeter and Digital Plymouth, for an evening of discussion, ideas, and shared perspectives.

We're delighted to welcome Jacob Tomlinson (NVIDIA) as our keynote speaker. Through his work in open source, Jacob has been deeply embedded in the transformation taking place across our industry, and we're looking forward to hearing his perspective.

Join us for what promises to be a fascinating evening of ideas, discussion, and community.

NOTE: The registraion for this event is on eventbrite!!!

Register here: https://www.eventbrite.co.uk/e/owning-your-tech-future-within-a-changing-industry-tickets-1998070123526

SPONSORS
Devon County Council

CODE OF CONDUCT
The PyData Code of Conduct governs this meetup . To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS.

We’re returning to Big Data LDN for a special edition of the Databricks London Meetup, bringing the community together at Olympia London after the first day of the conference.

Join us on Wednesday 23 September from 6pm to 7.30pm for an evening of technical talks, practical experience and honest conversation about working with Databricks. Whether you’re already building on the platform, exploring where it could fit, or simply want to meet other people working across data and AI, you’ll be very welcome.

We’re working with Databricks on the speaker line-up and will share the full agenda shortly. As ever, the aim is to keep the content useful and grounded, with experienced practitioners sharing what they have learnt from real projects rather than delivering sales pitches.

The meetup will take place inside Big Data LDN at Olympia London. The exact theatre and its location on the event map are still to be confirmed. We’ll update this page as soon as those details are finalised, so please keep an eye on the event updates before travelling.

Timings

6pm to 7.30pm: Databricks London Meetup
From 7.30pm: Databricks Data After Hours on the rooftop

Following the meetup, the evening will continue with Databricks Data After Hours, a separate rooftop event for further conversation, drinks and networking with the wider Databricks community.

Data After Hours requires a separate registration. Please RSVP at Databricks Events and please note you must use a company email - Gmail/Hotmail etc not accepted. Entry is open to Corporate Customers, folks working for consultancies, contractors and students may not be accepted.

To attend, please complete both steps:

• RSVP to this event on Meetup.com.
• Register for your free Big Data LDN pass - £49 saving on standard date: Register for Big Data LDN 2026

Big Data LDN takes place at Olympia London on 23 and 24 September 2026. Entry is free, but advance registration is required. The main exhibition is open from 9am to 6pm on Wednesday, with the Databricks London Meetup beginning after the first day closes.
About Big Data LDN

Big Data LDN is the UK’s leading data, analytics and AI conference and exhibition, bringing the data community together to hear from practitioners, explore new technology and share practical experience. The 2026 event takes place at Olympia London across 23 and 24 September.

Your Big Data LDN pass provides access to the wider conference and exhibition during the day, so it is worth arriving earlier if you can. You can explore the exhibition, attend sessions and meet people from across the data, analytics and AI community before joining us for the meetup at 6pm.

Venue:
Streaming Analytics Theatre
Olympia London
Hammersmith Road
London
W14 8UX

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Hello data & ai entusiasts!

IMPORTANT: please register (on-site security requirement by the host) - this will be taken offline a few days before the event, so please do it now.

The Lakehouse is a relatively new architecture paradigm in the world of data, analytics & ai, but already shows signs of becoming a truly iconic approach going forward. Bringing the performance of data warehouses to the scale and elasticity of data lakes opens new possibilities to enable everything from data analytics, ML & AI and batch/streaming on one architecture at a lower cost.

Adidas hosts the next Databricks Lakehouse meetup in Erlangen. Agenda, speakers, location, registration here. This is a space for data, analytics & ai practitioners to come together, discuss architecture, share best practices and latest trends. There will be pizza, drinks and networking after the main event.

IMPORTANT: please register (on-site security requirement by the host) - this will be taken offline a few days before the event, so please do it now.

Do you have topics you want to discuss? Post them in the meetup group!

Looking forward to meeting you!

Felix

PyData Belgium is Back! 🐍

Welcome to the latest PyData Belgium meetup! We have 3 (Gen)AI-free talks ready 🙀:

• Johannes Lootens: "An updated take on MLOps with dbt Python models", on how to leverage databricks’ MLFlow integration to get the best of both worlds of dbt and MLFlow
• Jeroen Boeye: "Embracing the Variance: Probabilistic Forecasting for Logistics" - a view on how Monte Carlo simulations and probabilistic models helped with operations: planning, adjusting to ETA shifts, cargo fluctuations, etc.
• Aditya Paliwal: "Geo-Intelligence: Unlocking Insights Through Open-Source Geospatial Analytics" - on the full lifecycle of geospatial applications from PosgreSQL to Kalman filters.

This edition will be hosted in the Dataroots offices in Leuven (thanks for hosting us!). Talks start at 7pm. Hope to see you there!

🗓 Date: 24th Sept 2026
📍 Location: Arnould Nobelstraat 32, 3000 Leuven, Dataroots
⏱️ from 18:30. Talks start at 19:00

please remember to register on meetup - it helps us order enough food.

The event will be kindly hosted by Visium.
Please register using the form :
https://forms.gle/XKTFDoUdnUqAoxNQ7

👇 👇 Line-up 👇👇

AgentOps — The Next Layer After MLOps: Managing, Deploying and Monitoring AI Systems
by Andy Bermond (VISIUM)

LangChain's 2026 State of Agent Engineering survey put 57% of respondents with agents in production, 89% with observability in place — and only 52% running evals. Quality was the top barrier, named by nearly a third. Tracing has become table stakes; knowing whether the thing is any good has not. That gap is the interesting part.

The term AgentOps was coined in a 2024 paper out of CSIRO's Data61. Its argument: existing tooling mostly tracks LLM-specific metrics and prompt management, with little support for the artifacts that actually define an agent — its goals, its plans, its tools.
MLOps grew out of a similar observation: the model was never the hard part, the system around it was. Agents make the point again, louder. A model is a function — you version it, test it, roll it back. An agent is a process. It holds state, calls tools, spends money, retries, and occasionally decides something nobody specified.
So what is the deployable unit now? What does a release look like when behaviour changes without the artifact changing? What do you monitor when there is no accuracy number, and what does a rollback mean when the failure is a loop of tool calls rather than a bad prediction?

Eval-Driven Development for LLM Systems
by Lucas Eckes (VISIUM)

Testing traditional software and ML systems is reliable work. We assert: same input, same output, a hand-written expected value on the right-hand side, and a suite that still passes in five years.

So what happens when the feature under test is a language model? The same request returns a different string every run, all of them potentially correct. Ground truth rarely arrives because a user who gets a bad answer closes the tab rather than telling you. And the artifact that changed is a prompt, with no hash, no version bump, and no retraining run.

This is a talk about what replaces the suite, at the level of a single application. Where your test cases come from before you have production traffic, and why the ones you write on day three stop describing the system by month six. Which checks need a model to evaluate and which collapse back into plain Python. How to calibrate an LLM judge before you trust the numbers it produces.

Demonstrated end-to-end on a small application with Arize Phoenix, open source and local

Give your agent a local sandbox, not just tools
by Thibault Viglino (VISIUM)

LLMs are often faster, cheaper and more reliable when they write a short program that calls your tools instead of making a sequence of individual tool calls.

Pydantic Monty runs isolated Python with no container, VM or sandboxing service in the loop. Creating a sandbox and running ten commands in it takes 5 ms (Docker: 900 ms, a sandboxing service: 1900 ms).

In this talk we will motivate why a local sandbox is useful and showcase it with Monty. We will see how it interacts with the existing tooling and MCP ecosystems.

TL;DR: Nobody Reads Your Agent's Output
by Christian Abbet (VISIUM)

We hand more and more of our coding work to agents, and we consume what they produce everywhere: code review, documentation, and issue reports. Every run returns a wall of text that no human wants to read (and that machines don't need either) as most of it is often repetition or nitpicks.

This talk asks whether tooling can fix that: output that is short, sharp, and actually worth reading. Less text generated now means less text ingested by every downstream pipeline.

Or maybe one output was never enough. A second option is to have the agent emit different messages: adding context the agent needs and the human would find tedious, or dropping framing the human wants and the agent pays tokens for. Each reader gets what it needs, and neither pays for the other's format.

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NOTES

• PLEAS RSVP: If your status changes, change your RSVP accordingly! This enables us to manage reservations.
• If you are on the waiting list: we will do our best to increase the number of seats, so stay tuned

(ENGLISH FOLLOWS)

¡Edición Especial Pre-FabCon con Power BI & Fabric Barcelona!
De la mano de ESBRINA, llega una edición muy especial de nuestra comunidad en la antesala de FabCon Europe. Nos reunimos para una tarde completa de aprendizaje técnico avanzado con tres sesiones impartidas por ponentes y referentes internacionales en el ecosistema de Power BI y Microsoft Fabric, seguidas de nuestro espacio de networking.

TODAS LAS SESIONES SERÁN EN INGLÉS

AGENDA
17:00 - 17:30 | Apertura de puertas y registro
17:30 - 17:40 | Bienvenida e introducción por parte de la comunidad
17:40 - 18:25 | 1ª Sesión: The ultimate CI/CD showcase for Microsoft Fabric — Kev Chant
18:30 - 19:15 | 2ª Sesión: The Magic of Merging: Power Query Joins in Power BI — Cristian Angyal
19:20 - 20:05 | 3ª Sesión: Transition from Data Analyst to Data Engineer: Upgrading Skills from DataFlows Gen2 to Notebooks — Nikola Ilic
20:05 - 21:00 | ¡Networking y cierre!

SESIONES Y PONENTES

The ultimate CI/CD showcase for Microsoft Fabric Ponente: Kev Chant (Data Platform MVP & Microsoft Certified Trainer) Descripción: Una sesión práctica guiada por demostraciones sobre CI/CD en Microsoft Fabric. A través de varios casos reales con Azure DevOps, veremos cómo ejecutar pruebas de integración continua (CI), desplegar artefactos entre workspaces usando Git Integration y aplicar despliegue continuo (CD) mediante la librería de Python fabric-cicd.
Sobre el ponente: Profesional de plataformas de datos afincado en los Países Bajos, Microsoft Certified Trainer y Data Platform MVP con una sólida trayectoria en soluciones ALM, DevOps y GitHub. LinkedIn: https://www.linkedin.com/in/kevin-r-chant

The Magic of Merging: Power Query Joins in Power BI Ponente: Cristian Angyall (PMP, MCT, Microsoft Data Platform MVP) Descripción:
¿Alguna vez te has topado con un muro al intentar dar forma o enriquecer tus datos en Power BI? Pongamos bajo los focos los Joins (combinaciones) de Power Query. No son solo los BUSCARV y BUSCARX de nuestros días de Excel con un traje nuevo y elegante. Son las herramientas de gran potencia que te ayudan a moldear y mejorar tus datos, preparando el terreno para unos análisis espectaculares más adelante.
En nuestra próxima sesión, nos pondremos manos a la obra con estas maravillas de la combinación. Analizaremos los sospechosos habituales de los joins y luego nos aventuraremos en las sombras donde acecha el misterioso séptimo tipo. Desde la diversión de las coincidencias difusas (fuzzy matching) hasta las travesuras de los joins de múltiples columnas, lo cubriremos todo. Pero aquí está la clave: no se trata solo de hacer que los conjuntos de datos se lleven bien entre sí. Se trata de extraer detalles valiosos, rellenar los huecos y crear ese conjunto de datos perfecto que haga que tus análisis destaquen.
Para cuando terminemos la sesión, estarás listo para usar los Joins de Power Query como un profesional. Serán tu arma secreta para elaborar y refinar datos en Power BI, preparándote para análisis más fluidos y reveladores. ¿Listo para dominar la magia de las combinaciones? ¡Sumerjámonos y demos forma a algunos datos!
Sobre el ponente: Cristian es un "Profesional de la Gestión de Proyectos convertido en el Chico de los Datos" (Data Guy) que trabaja como enlace entre dos mundos: el Negocio y las TI.
Tras haber trabajado durante los últimos más de 20 años con datos en diferentes roles, quedó fascinado cuando descubrió Power Query y Power Pivot allá por 2014 y, posteriormente, Power BI en 2015. Posee varias certificaciones de Microsoft (MS Fabric Analytics Engineer, MS Fabric Data Engineer, Power BI Certified Data Analyst, Trainer [MCT], MCSE Data Management and Analytics, MCSA BI Reporting, MOS Master, Excel Expert, etc.) y le encanta extraer insights (conocimientos) de los datos para luego utilizarlos en la resolución de problemas empresariales reales. Es el fundador del Grupo de Usuarios de Power BI y Excel Moderno de Rumanía (https://www.meetup.com/romaniapug/) y fue reconocido como Microsoft Most Valuable Professional (MVP) en 2022. LinkedIn: https://www.linkedin.com/in/cristian-angyal/

Transition from Data Analyst to Data Engineer: Upgrading Skills from DataFlows Gen2 to Notebooks Ponente: Nikola Ilic (Data Mozart, Microsoft Data Platform MVP) Descripción: Sesión orientada a analistas que desean aprender a usar notebooks para realizar las mismas operaciones que en Dataflow Gen2. Se analizarán 4 áreas clave (origen, transformación, limpieza y destino), incluyendo joins en dataframes, sustitución y manipulación de texto, pivot/unpivot, transformaciones de tipo, eliminación de duplicados y optimización del motor.
Sobre el ponente: Creador de contenido en Data Mozart, Microsoft Data Platform MVP, autor en Pluralsight e instructor en O'Reilly, especializado en extraer valor del dato con Power BI y Microsoft Fabric. LinkedIn: https://www.linkedin.com/in/nikola-ilic-data-mozart/
Tres sesiones de altísimo nivel técnico sobre Power BI y Microsoft Fabric. Si quieres aprender, compartir experiencias y conectar con la comunidad, ¡no te lo pierdas y reserva tu plaza!

Special Pre-FabCon Edition with Power BI & Fabric Barcelona powered by ESBRINA!
Join us for a very special community meetup right before FabCon Europe! We have prepared an afternoon packed with advanced technical sessions delivered by international speakers and MVPs from the Power BI and Microsoft Fabric ecosystem, followed by networking.

ALL SESSIONS WILL BE IN ENGLISH
AGENDA
05:00 PM - 05:30 PM | Doors Open & Registration
05:30 PM - 05:40 PM | Welcome & Community Introduction
05:40 PM - 06:25 PM | Session 1: The ultimate CI/CD showcase for Microsoft Fabric — Kev Chant
06:30 PM - 07:15 PM | Session 2: The Magic of Merging: Power Query Joins in Power BI — Cristian Angyal
07:20 PM - 08:05 PM | Session 3: Transition from Data Analyst to Data Engineer: Upgrading Skills from DataFlows Gen2 to Notebooks — Nikola Ilic
08:05 PM - 09:00 PM | Networking & Wrap-up!

SESSIONS AND SPEAKERS

The ultimate CI/CD showcase for Microsoft Fabric Speaker: Kev Chant (Data Platform MVP & Microsoft Certified Trainer) Description: A demo-driven deep dive into CI/CD for Microsoft Fabric, showcasing multiple real-world approaches and tools you can use today. Delivered using Azure DevOps, topics include running CI tests for Fabric items, deploying across workspaces with Git integration, and implementing CD with the fabric-cicd Python library.
About the speaker: Data Platform professional based in the Netherlands, Microsoft Certified Trainer, and Data Platform MVP with extensive hands-on experience in Microsoft Data Platforms, Azure DevOps, and GitHub ALM workflows. LinkedIn: https://www.linkedin.com/in/kevin-r-chant

The Magic of Merging: Power Query Joins in Power BI Speaker: Cristian Angyall (PMP, MCT, Microsoft Data Platform MVP) Description: Ever hit a roadblock when trying to shape or enrich your data in Power BI? Let's shine the spotlight on Power Query Joins. These aren’t just the VLOOKUPs and XLOOKUPs from our Excel days in a fancy new suit. They're the powerhouse tools that help you mold and enhance your data, setting the stage for some killer analyses later on.

In our upcoming session, we're going hands-on with these joining wonders. We'll break down the usual join suspects and then venture into the shadows where the mysterious seventh type lurks. From fuzzy-matching fun to multi-column join shenanigans, we're covering it all. But here's the thing: it's not just about making datasets play nice together. It's about pulling in rich details, filling in gaps, and creating that perfect dataset that makes your analyses pop.

By the time we call it a wrap, you'll be all set to use Power Query Joins like a pro. They'll be your secret weapon in crafting and refining data in Power BI, setting you up for smoother, more insightful analyses. Ready to master the merging magic? Let’s dive in and shape some data!
About the speaker: 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, MS Fabric Data 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. LinkedIn: https://www.linkedin.com/in/cristian-angyal/

Transition from Data Analyst to Data Engineer: Upgrading Skills from DataFlows Gen2 to Notebooks Speaker: Nikola Ilic (Data Mozart, Microsoft Data Platform MVP) Description: This session guides analysts on how to use notebooks to achieve the same data transformations done in Dataflow Gen2. Covering 4 core areas (source, transformation, cleansing, and destination), examples include dataframe joins, text manipulation, split/concatenate columns, pivot/unpivot, type changes, deduplication, and engine optimizations.
About the speaker: Founder of Data Mozart, Microsoft Data Platform MVP, Pluralsight Author, and O'Reilly Instructor passionate about Power BI, Microsoft Fabric, and end-to-end data analytics. LinkedIn: https://www.linkedin.com/in/nikola-ilic-data-mozart/

Three sessions covering the core aspects of Power BI and Microsoft Fabric. If you want to learn from industry experts and connect with the local community, RSVP and save your spot!

La European Microsoft Fabric + SQL Community Conference es el mayor evento de Europa dedicado a Microsoft Fabric y a la comunidad SQL, reuniendo a más de 4.000 profesionales de datos durante cuatro días de aprendizaje, sesiones técnicas avanzadas y networking con algunos de los mayores expertos del ecosistema Microsoft.

Si trabajas con Microsoft Fabric, SQL Server, Azure SQL, Data Engineering, Analytics, Inteligencia Artificial o Business Intelligence, este es uno de esos eventos que no pueden faltar en tu agenda.

Y tenemos una gran noticia para la comunidad de Cloud&Data Valencia:
La organización de FabCon + SQLBits Europe 2026 nos ha cedido una entrada de 3 días para sortear entre nuestra comunidad.
¿Cómo participar?
Muy sencillo:
-Comenta esta publicación.
Entre todas las personas que comenten realizaremos el sorteo de una entrada completa de 3 días para FabCon + SQLBits Europe 2026, que se celebrará en Barcelona. Tenéis hasta el 10 septiembre para participar!

Una oportunidad única para:
• Descubrir las últimas novedades de Microsoft Fabric y SQL.
• Aprender de expertos internacionales.
• Compartir experiencias con la comunidad de datos.
• Ampliar tu red de contactos profesionales.

Nos vemos en Barcelona.

Tallinn Data Community is inviting you to a casual networking event on the topic of data and AI! No presentations, no agenda, just cool attendees, data-related conversations and good vibes.

Join us at the Humalakoda restobar in the heart of Telliskivi to meet the data community of Tallinn with drinks & snacks and make new connections! The agenda is simple:
- come have a seat
- talk with who you want, and who knows, that might open a door for you, or open doors for others!

(Note that food & drinks are not provided. You can order whatever you wish from the bar; it's up to you. Please don't forget to pay your order before you leave!)

Where: Humalakoda Pub Restaurant Brewery (Kopli tn 1, 10412 Tallinn)
When: 19:00-22:00, 29.09.2026 (September 29th 2026)

See you there!

Autumn edition is here!

Come as you are, this is a low threshold event to share knowledge in and get to know the community around Databricks in Finland!

Format:
- 2 speakers presenting something they have done with Databricks
- Good time to meet others in the community with refreshments

Agenda:

• Terveystalo, Ara Taalas
• Networking break with refreshments
• HSL, Matti Remes

NB: If you know someone or would want to present yourself, please reach out to anyone of the organizers!

Join us for our 10th meetup on Sep 30th, hosted by Enerfit! 🎉

Don't miss out on this exciting event where you can learn and network with fellow Python + Data enthusiasts in the Tallinn area. RSVP via Luma now to reserve your spot!

Important!!!: You need to RSVP via Luma. RSVP here will not guarantee your spot. Due to venue constraints, we are capping total sign ups around 75 ppl.
Luma link: https://luma.com/qo8k0hw2

When: Sep 30, 2026, 17:30
Where: Enefit, Lelle 22, Tallinn

What's Happening?
Whether you're a beginner or an experienced data practitioner, this meetup is a great opportunity to network and enhance your skills. We will have 2 talks:

1️⃣ Building a Stable R&D process in a ML Team of a Frontier Physics Startup
Mikhail Iljin, Staff Machine Learning Engineer, GScan

2️⃣ Beyond the Quantum Hype: Enefit’s Journey into Quantum Computing
Artjom Vargunin, Data Scientist, Enefit

The event will be in English.

Schedule
17:30 - Doors are open🚪; food and drinks ready 🍕
18:00-18:15 Introductions by Enefit, Digit, PyData
18:15-18:45 Talk 1
18:45-19:15 Break
19:15-19:45 Talk 2
19:45-21:00 - Networking 🗣️; more food and drinks 🍻

Want to Speak at a future event?
If you wish to submit a proposal, use this Google form: https://forms.gle/p67CDXR7pxzwRaa98

Sponsors
We are open to sponsors! Whether it's a venue / drinks / snacks, we would love to hear about it. Contact one of the organizers for more details.

👋 Welcome Back Data People!

We're back from summer and it's time for everyone's favourite topic:
Semantic Model Standards!!! 👏🤓👏🤓

Looking forward to seeing many of you there!
Rigerta, Thorsten, Boris, Georg and Timo

Agenda:

• 18:00 - Doors open; food & drinks 🍔🥂
• 18:30 - Welcome talk by Cloudflight GmbH
• 18:40 - Lukas Schwarzmüller 🎤
  Apache Ossie: A Hands-On Test of the New Open Standard for Semantic Models
  (more infos about Lukas and Cloudflight below)

19:10 - Interactive Discussions Moderated by Our Volunteers
This is your chance to discuss YOUR DATA ISSUES with the group and get feedback from other professionals

• 19:40 - Networking and Drinks 🍻🍷
• 21:00 - End 👋

Event Partner:
Cloudflight
Cloudflight is one of the leading full-service providers in the field of industrial digital transformation

Speaker:
Lukas is a Data Engineer at Cloudflight in Vienna, building data platforms across various industries. He came into data engineering from a background in Biology, and through wrestling with the data demands of bioinformatics, found a love for the architecture and platforms underneath it.

Address:
Walcherstraße 1A, Stiege 3, 3. Stock

**********************
👋 Don't forget to RSVP!

PyData Trójmiasto is back after vacation time! 45th edition is coming up!

Where: Łużycka 8B, Gdynia, Tensor Z building.
When: 30th of September at 6PM

Registration: please register with your full first and last name. Don't forget to bring your ID when entering the event venue.
RSVP available until 6pm day before. In any urgent communication please let us know at kontakt@pydata-trojmiasto.pl

Parking: Free parking located along the street next to the building.

Agenda:

18:00 - 18:05 - Event boarding
18:05 - 18:10 - A few words about PyData
18:10 - 18:55 - From Changelog to Blog - AI Pipeline for Release Communication by Karol Błaszczak
19:00 - 19:45 - Yet Another Year of Agents by Mateusz Hordyński
19:45 - Networking

From Changelog to Blog - AI Pipeline for Release Communication by Karol Błaszczak

Release communication means so many different things to different people. From changelogs and release notes, through in-app guidance and product tours, to release newsletters and blog posts. Who has time for all that, right? AI does. If you use it well. Otherwise, you will likely waste both time and tokens. Let’s have a look at potential benefits of using LLMs to generate release communication channels, and the ways to ensure alignment between documents, with no hallucinations added. We will discuss a pipeline based on a single agent with multiple input sets.

Karol Błaszczak, currently, works on Open Edge Platform documentation and focuses on propagating technical information without the marketing fluff.
Having worked as a teacher, a translator, and a content creator, he prioritizes the language and message clarity, trying to strike the right balance between detail and readability.
After eight years spent in AI-centric Intel projects, he continues to look for the correct path to make LLMs support good content for people, instead of flooding the market with AI slop nobody needs.

Yet Another Year of Agents

A field report from a year of building agentic systems with enterprise teams: what actually survived production and what got quietly deleted at 2am.

Where multi-agent setups are worth the complexity—and where they’re just org charts disguised as architecture. Why evaluation is still the bottleneck nobody wants to talk about. How much of “agent engineering” is really context wrangling and permissions plumbing. And the failure modes that keep showing up, regardless of which model you’re paying for.

Opinionated, occasionally wrong, and based on real deployments rather than demos. Useful if you’re building agents—or about to be told you are.

About Mateusz Hordyński:

Mateusz is a Senior ML Tech Lead at deepsense.ai, where he designs #generativeAI applications, builds large-scale data platforms, and leads projects across data engineering, #MLOps, #RAG systems, and #agentic applications. He’s also the lead maintainer of the open-source project db-ally and one of the people driving technical knowledge-sharing initiatives inside the company.

Our next meetup will be on the 6th of October!

This time we are having a special workshop: The Snowflake CortexCode Hands-on Lab!
During the instructor-led event we will guide you through real business problems using CoCo on your own trial account. Let’s explore together how Snowflake’s newest AI coding agent works!

Location: Puzl Coworking Budapest
Adress: 1036 Budapest, Lajos u. 126-130
Date: 2026.10.06.

Workshop:

• Snowflake CortexCode Hands-on Lab
  Gábor Gollnhofer – Meta Consulting Kft.

Agenda:

• 18:00 - Doors opening
• 18:20 - Kick-off
• 18:30 - CortexCode Hands-on Lab
• 20:00 - Informal discussion, snacks & drinks
• 20:30 - End of the meetup

Bring your own laptop!

Any attendee who completes the Hands-on Lab will also receive a Snowflake Badge within 7 days of the event.

Spots are limited in order to get the most out of the workshop, so this time only 30 of you will be able to join. Secure your seat if you don’t want to miss this one!

Participation in the event is free, but registration in the User Group’s Snowflake site is required.
You can register here: https://usergroups.snowflake.com/e/m857tg/

There will be no streaming or recording of the event, only personal participation is possible.

The venue is provided by Puzl Coworking Budapest.

What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ and make sure to add the #local-northern-germany channel in dbt Slack to be part of the conversation.
🤝 Organizers: Angelina Aschemann (Scalefree), Stephan Durry (dbt Labs)
🏢 Venue: Scalefree Expirience Center, Schützenallee 3, 30519 Hannover
To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

📝Agenda

• 5:00 PM: Check in/Registration
• 5:30 PM: Welcome Remarks 🎤 (Tim Kirschke, Scalefree)
• 5:40 PM: What’s new with dbt? - Update from dbt Summit 🎤 (Stephan Durry, dbt Labs)
• 6:00 PM: Unified Data, Unified Impact: SiBase X and dbt on the Siemens Data & AI Cloud (Frederik Schmeißer, Scalefree)
• 6:25 PM: Break
• 6:40 PM: dbt Quiz (Tim Kirschke, Scalefree)
• 7.00 PM: Networking, Pizza & Drinks

Note: Closing doors at 5:40
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dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

Rejoignez-nous pour notre prochain Meetup PyData Valais (en présentiel uniquement) !

C'est une occasion unique de rencontrer des professionnels locaux spécialisés dans les données, le machine learning et l'IA et de vous plonger dans l'univers de la science des données et de l'IA. Chaque présentation durera 15 minutes et sera suivie de 10 minutes de questions, offrant ainsi un espace interactif pour discuter.

À l’occasion de la Foire du Valais, les talks seront exceptionnellement en français !

IMPORTANT : il s'agit d'un événement en présentiel, aucune diffusion n'est prévue.

Programme | Mercredi 7 octobre 2026
17h45 - Ouverture des portes et accueil
18h00 - Début des conférences
19h30 - Fin des conférences

Talk #1 : Kurb.ch - Plateforme d'analyse des données énergétiques
Partage d'expérience
Comment un ingénieur en énergie se retrouve à développer une plateforme d'analyse des données en python utilisée dans toute la suisse romande.
Arnaud Zufferey | Fondateur @ Olika

Talk #2 : Faire évoluer sa plateforme Data avec l’IA : du reporting aux usages intelligents
L’IA ne nécessite pas toujours de repartir d’une feuille blanche. Pour les organisations qui disposent déjà d’une plateforme Data, l’enjeu est avant tout de savoir comment capitaliser sur l’existant pour intégrer progressivement de nouveaux usages.
Alexandre Tacchini | Data Architect @ Synchrotech

Talk #3 : Industrie 4.0 - la prochaine révolution industrielle
L'IA et la donnée jouent un rôle croissant dans le monde industriel. Le Smart Process Lab (SPL) est une initiative commune de la HES-SO Valais et de Constellium pour accompagner les acteurs de l'industrie suisse face à ces défis.
Francesco Carrino | Associate Professor @ HES-SO Valais-Wallis

Lieu
Foire du Valais - Espace Innothèque - Martigny Expo
https://maps.app.goo.gl/1Be99UEb1VSH4yAM8

ATTENTION

• Vous aurez besoin d'un billet pour entrer dans la Foire du Valais: https://foireduvalais.ch/fr/billetterie/ (ou contactez-nous... nous avons quelques billets à distribuer)
• Prévoyez assez de temps pour trouver votre chemin vers l'espace Innothèque.

⭐ Free tickets: https://app.evenea.pl/event/cloudanddata0710/

We invite you to the Cloud and Data Meetup Kraków event, which will take place on October 7, 2026, at 18:00 at HEVRE, Meiselsa Street 18, Kraków.

Participation in the meeting is free for participants registered through Evenea.

❎ AGENDA ❎

17:30 - 18:00 Participant registration, ticket check on the first floor
18:00 - 18:15 Event opening and welcome
18:15 - 18:40 Presentation #1: From Visibility to Action: Automated, Real‑Time Kubernetes Resource Management - Fabrice Bensimon, Nic Vermande
18:40 - 18:50 Break
18:50 - 19:15 Presentation #2: Cloud Edge WAF Protection - Dmytro Lytvynenko
19:15 - 19:25 Break
19:25 - 19:50 Presentation #3: Deployment Strategies: Choosing the Right Approach - Michał Franczyk
20:00 Networking with pizza

❎ PRESENTATION ASBTRACT ❎

+ From Visibility to Action: Automated, Real‑Time Kubernetes Resource Management - Fabrice Bensimon, Nic Vermande
Most Kubernetes clusters sit 60% to 70% overprovisioned, and another dashboard won't change that. This talk covers why the usual fixes stall before reaching production, then shows how ScaleOps automates real-time resource management with guardrails, including for AI and GPU workloads.

+ Cloud Edge WAF Protection - Dmytro Lytvynenko
A high-level introduction to Edge WAF protection, covering the basic concepts, benefits, and use cases. A short session suitable for both technical professionals and beginners.

+ Deployment Strategies: Choosing the Right Approach - Michał Franczyk
Not every deployment should be done the same way. In this session, we'll review the most popular deployment strategies, understand when to use each one, and discuss how they impact reliability, customer experience, and rollback capabilities.

❎ SPEAKERS ❎

+ Nic Vermande (Senior Developer Advocate, ScaleOps)
Nic Vermande is a Senior Developer Advocate at ScaleOps, where he writes and speaks about Kubernetes resource management, GPUscheduling, and running AI workloads in production.He spends the rest of his time turning cluster horror stories into content other engineers can actually use.

+ Fabrice Bensimon (Cloud Infrastructure Advisor, ScaleOps)
Fabrice is a Cloud Infrastructure Advisor at ScaleOps. He specializes in Kubernetes cost optimization, partnering with large enterprises to modernize how they manage cloud and Kubernetes costs at scale. He previously held strategic account roles at JFrog and senior positions across global fintech companies, guiding enterprise teams through cloud and digital transformation.

+ Dmytro Lytvynenko (Lead Cloud Platform Engineer, Kingfisher)
DevOps Engineer with 10 years of experience in cloud infrastructure, automation, and security.

+ Michał Franczyk (Engineering Squad Lead, Kingfisher)
Engineering Squad Lead specialising in cloud-native technologies with nearly 10 years of experience in software engineering. My expertise includes AWS, Kubernetes, Platform Engineering, and DevOps practices. I work closely with development teams to build and implement modern self-service platforms and solutions that accelerate software delivery and improve the developer experience. Outside of the technology world, I enjoy challenging myself through outdoor and adventure activities. I am an alpinist, a certified sailing instructor, and a passionate skier.

We really hope you will participate in our community event!

⭐ Free tickets: https://app.evenea.pl/event/cloudanddata0710/

PyData Bristol - Social 🍺
After a long break we are back for a PyData Bristol Social at the Left Handed Giant Brewpub | Finzel's Reach Bristol!
This event is mainly to bring people together, hear interesting ideas, spark interesting discussion and by doing so, connect tech people together.
Come by yourself or bring your friends with you, we’d love to see you there!

🚪 6:00 pm - Meetup
🕡 6:30 pm - Talks commence (sharp!)
📚 Intro 5 Minute talk - PyData Organisers
🍺Social

We will meeting at Left Handed Giant Brewpub | Finzel's Reach Bristol, You should be able to spot the organisers there.

If you realise you can't make it, please un-RSVP in good time so we know roughly how many of us will be there.

The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup, please contact the PyData Bristol organisers, or you can submit a report through the link above.

Wir freuen uns sehr, euch auch im Oktober 2026 wieder zu einem Meetup mit der datamonster.io Microsoft Data Platform Regionalgruppe Rheinland einzuladen! 😊

Thema: Databricks oder Fabric? Die falsche Frage
Databricks oder Microsoft Fabric, welche Plattform ist besser? Eine naheliegende Frage. Aber vielleicht ist sie falsch gestellt.
Beide Plattformen adressieren viele der gleichen Herausforderungen moderner Data-&-Analytics-Landschaften. Die Konzepte dahinter und die Wege zum Ziel unterscheiden sich jedoch, und genau dort wird es interessant.
In dieser Session machen wir deshalb keinen klassischen „Feature gegen Feature“-Vergleich. Stattdessen schauen wir hinter die Plattformen: Wie sind Databricks und Microsoft Fabric aufgebaut? Wie gehen sie mit Storage und Compute um? Welche Rolle spielt das Lakehouse? Und welche Ansätze verfolgen sie bei Data Engineering und Governance?
Dabei zeigen wir, wo die jeweiligen Konzepte ihre Stärken ausspielen und was diese Unterschiede für die Praxis bedeuten.

Denn am Ende geht es nicht darum, einen Sieger zu küren. Entscheidend ist, die Stärken beider Plattformen zu verstehen und zu wissen, welcher Ansatz zu den eigenen Anforderungen passt.

Weitere Informationen
Bleibt auf jeden Fall bis zum Schluss, denn wir neigen dazu, den Abend mit Pizza ausklingen zu lassen. 🍕

Königswinter hat eine sehr gute Anbindung an den öffentlichen Nahverkehr. Von der Haltestelle „Königswinter Fähre“ der Linie 66 sind es nur etwa 5 Minuten zu Fuß zum Office der oh22information services GmbH.

Die Parkplätze direkt an der Firma sind begrenzt, aber Königswinter bietet in der Regel ausreichend Parkmöglichkeiten, die entsprechend ausgeschildert sind.

Bitte meldet euch verbindlich für die Veranstaltung an, da die Anzahl der Plätze begrenzt ist.
Solltet ihr doch nicht kommen können, bitten wir euch um eine frühzeitige Abmeldung, um anderen die Teilnahme zu ermöglichen.

Wir freuen uns darauf, euch beim Meetup "Databricks oder Fabric? Die falsche Frage" zu sehen und gemeinsam mit euch einen anregenden Abend zu verbringen.

Save your seat at the next dbt Barcelona Meetup! Join us on Thursday 8th October at 18:00 for an exciting edition of this community event.

dbt Meetups are networking events open to all folks working with data! Talks are given by different members of the community, who share their experience on topics ranging from analytics engineering, data stacks, data ops, modeling, testing, and team structures.

This event is limited to 70 people, so please only RSVP if you intend to come and reach out to hosts via email (ronyekwe@spauldingridge.com) if you need to cancel last minute or change your RSVP status on the Meetup page to "Not Going."

🏠Venue: Tech Barcelona, Pier 07 Via Laietana, 26, Ciutat Vella, 08003 Barcelona
🍕Catering: Pizza & Beers**
🤝Community Organizers: Ruth, Carolina, Uche
⏰ Time: 6:00pm - 9:00pm

*To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy
** If you have special requirements, please contact the organizers.
----------------------------------
📣 Agenda and additional details below:

• 6:00pm Check in/Registration
• 6:30 Welcome Remarks
• 6:40 - 7:00 Talk #1 + Q&A
• 7:00 - 7:30 Talk #2 + Q&A
• 7:30 - 8:50 Discussion Forum & Closing remarks
• 8:00 - 9:00pm Reception & Networking (socializing, light food and refreshments 🍷 🍺 🧀 ☕ 🥤)

✨ Speaker Lineup✨
#Talk 1
dbt News from dbt Summit by Richard Persaud - Solution Architect @ dbt/Fivetran

#Talk 2
Data Tests Observability using Elementary by Fede Franco - Data Analyst @ Fourthline

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➡️ Join the dbt Slack community: https://www.getdbt.com/community/
🤝For the best Meetup experience, make sure to join the #local-barcelona channel in dbt Slack (https://slack.getdbt.com/)

Spaulding Ridge's Data Team focuses on optimizing data analytics platforms and IT infrastructure; promoting a data-driven culture and achieving success through data informed decisions. Connect with the local team here ➡️ https://www.spauldingridge.com/business-transformation/data-analytics/

🎉 Event #26 – The Analytics Engineering Meet-up 🎉

The London Analytics Engineering Meet-up - Hosted by Databricks!

Speakers:
Navo Das - Lead Data Analyst @ incident.io
Talk: Trust Verdicts Not Vibes: Building an Evals Harness for an Agentic Data System.

Katerina Korovkina - Principal Engineer @ Skyscanner
Talk: TBA

📅 RSVP now open!

Please note: we have a hard limit of 100 spaces for this one, so we won't be able to fit everyone in. We'll be moving people over from the Going list as we confirm attendees, so make sure you register!

📍 Agenda
6pm – Doors open, networking, food & drinks
7pm – Talks kick off
8:30pm – More drinks & networking @ local pub

This is a fantastic opportunity to connect with some of the UK's top data professionals, share challenges, and exchange learnings.

The Analytics Engineering Meet-up is a community for data professionals working with the modern data stack, machine learning or AI.
We host regular meet-ups featuring talks from data leaders building and scaling analytics, data platforms, and AI in forward-thinking teams. The community is ideal for Data Engineers, Analytics Engineers, Analysts, and those working in Data Science, Machine Learning, or AI.

The Analytics Engineering Meet-up is organised by Cognify — a specialist recruitment partner for teams working across the modern data stack, machine learning & AI.
If you're looking to hire top data talent or exploring your next move in data, feel free to reach out to the Cognify team. We're always happy to help and chat through the market.

Our sponsor is Omni, an AI-powered BI platform that helps people use data to do their best work. Whether users prefer AI, Excel, point-and-click exploration, or SQL, Omni enables fast, trusted answers from a governed semantic model.

If you're eager to dive deeper into industry insights, check out The Stacked Data Podcast for conversations with industry leaders:
Listen on: Spotify Youtube or Apple Podcast

Your feedback is so valuable to us, we'd love to hear from you to help us continue to improve, Feedback Form here

No-Show Policy:
If you miss 2 consecutive events or 2 out of 3 events, you wont be able to attend the next event. We hope you understand this is to keep things fair for venues and other attendees.

Artificial Intelligence (AI) conference in Manchester, United Kingdom

Our friends at Eraneos are hosting the upcoming event at their office at Amsterdam arena offices!

17:30 – 🍕🍔🥗 Welcome & Light Dinner

18:00 - Talk 1: Jasper Stoop (Eraneos) - Closing the gap between business context and warehouse engineering with DIMO

Dimo is an agentic web application that helps transform business context, source data, and analytical requirements into a Kimball-style dimensional model. It starts from business processes, entities, and use cases, links those concepts to real warehouse tables, and incrementally shapes facts and dimensions into a validated star schema. The project is grounded in live warehouse metadata and testing, so the resulting model is not just conceptual but checked against actual source data and expected business outcomes. From that validated design, Dimo generates fully documented SQL or a native dbt project with table and column descriptions and core data tests. The result is a production-ready analytics engineering asset that connects business understanding directly to runnable dbt code.

18:30 - Talk 2: Sean McIntyre (dbtLabs + Fivetran) - Congratulations! You're a context engineer
Sean is a Solutions Architect based in Vienna. He helps the largest and best companies in Europe with their data, analytics, and AI. He’s a dad to two awesome boys and enjoys riding bikes on the weekend. He'll discuss how data engineers and analytics engineers can think about the roles in their companies, and advocate to bring in more data sources into their existing workflows that AI models help process, and make well-governed data as context for AI agents.

19:00 - Talk 3: Eva van Kalmthout & Stan Verwer - A data platform that fits in a git repo
As an open source integrator of open source data platform tooling, datavloot runs dlt, DuckDB, dbt, Dagster and Elementary out of one repository, started with one command. On stage we will take you through our demo project and dbt standardizations. After that we show the boat we plan to build next, what it takes to scale this up, and how you can use datavloot to install your own data platform on your laptop in just a few minutes.

19:30 –🥤 Drinks & Snacks

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Join the dbt Slack community: https://community.getdbt.com/
Join the conversation in the #local-netherlands channel in dbt Slack to connect with other data practitioners locally.

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://www.getdbt.com/legal/health-and-safety-policy

Join us for the next edition of the Data Mesh Belgium Meetup!

This time, we're welcoming the community to the ACA Group office in Hasselt for an evening of knowledge sharing, practical insights and networking with fellow data professionals.

Whether you're already implementing Data Mesh principles or you're exploring how data products, this meetup is the perfect opportunity to learn from real-world experiences and connect with others.

SCHEDULE

• 18h 00 - 18h 40: Food & Drinks
• 18h 40 - 18h 45: Welcome by Tom De Wolf
• 18h 45 - 19h 30: Beyond “Human in the Loop” by Corné Potgieter
• 19h 30 - 19h 45: Short break
• 19h 45 - 20h 30: From Federated Governance to Computational Governance by Gaëlle Seret & Axel Mercier
• 20h 30 - 21h 00: Networking

TALK ABSTRACTS
► Beyond “Human in the Loop”: Data Products and Data Contracts as AI Guardrails by Corné Potgieter
“Human in the loop” is often presented as the main guardrail for AI-powered data use cases. But as these systems scale, meaningful oversight becomes difficult and human review can quickly degrade into superficial approval.

Through practical examples and anecdotes involving data products and AI-driven decision-making, this talk explores why control cannot rely on a human simply approving the final output.
Instead, AI needs a strong data foundation: clearly bounded Data Products, explicit ownership, reliable context, and enforceable Data Contracts that define quality, meaning, constraints, and acceptable use.

AI can then structure the handoff to humans by highlighting uncertainty, explaining the relevant context, and clarifying the decision they actually own. Data Products and Data Contracts are therefore not only governance mechanisms; they are essential foundations for scalable, accountable AI.

► From Federated Governance to Computational Governance by Gaëlle Seret & Axel Mercier
Most organisations have embraced the idea of federated governance. They redesign their operating model, define domain ownership, create governance ceremonies and document policies. Yet governance often remains slow, siloed in practice and heavily reliant on manual processes.
It is because federation is an organisational principle but not an execution model.

Federated governance only delivers on its promise when governance becomes computational: when metadata collection becomes part of the team's daily operations, when policies and self-service guardrails are embedded into platform capabilities.
This shift is not only technical. It requires treating governance as a product rather than a control function. Governance must be designed for adoption, integrated into teams workflows and continuously improved based on user needs.

In this session, we'll show how product thinking, platform engineering and organisational design work together to transform governance from meetings, documentation and approvals into executable capabilities. Through concrete examples, we'll illustrate how computational governance makes federation operational, scalable and sustainable.

SPEAKER BIOS
► Corné Potgieter - Data Architect at Sparkle
I’m a data generalist and a bit of a purist at heart, but always guided by the principle that practicality is king. As a consultant and Data Architect, I specialize in template-driven data warehouse design and decentralized architectures such as Data Mesh, helping organizations strike the right balance between governance and agility.

Over the years, I’ve worked across the spectrum of data architecture, analytics, modeling, and BI engineering. My toolkit includes a wide range of modeling approaches, from Kimball to Data Vault, and I enjoy tailoring solutions to both organizational context and long-term sustainability.

► Gaëlle Seret - Author @ Clean Data Architecture
Gaëlle is a freelance consultant, author of Clean Data Architecture, and former Head of Data Product & Enabling at Decathlon. Among her latest customers : Leboncoin and Pernod Ricard. She is leading large-scale data and product transformations with a strong user-centric approach. Active in the French data community, she is passionate about product craftsmanship and strives to make data management accessible and meaningful.

► Axel Mercier - Head of Kering Data Platform & Services
Axel leads Kering’s Data, AI and BI Platform, spanning both operational and analytical use cases. Over the past decade he’s helped large organizations rethink who owns data and how it scales, championing Data as a Product, domain-driven ownership, and platform thinking. He’s built autonomous data domains and pushed modern product and engineering practices into teams that had never worked that way. His focus: making complex systems understandable enough that teams stop depending on a central data team to get things done.

Gain actionable insights into Knowledge Intelligence from industry experts implementing Semantic Layers, at scale.

Welcome to the Third Edition of Enterprise Knowledge's Semantic Layer Symposium!

This two-day gathering brings together professionals for substantive conversations about Semantic Layers and their real-world applications. The event prioritizes quality content and meaningful connections, not sales pitches.

Attendees will hear in-depth case studies, engage in honest discussions about implementation challenges, and explore actionable frameworks from practitioners who have done this work. The format balances expert presentations with ample time to connect with peers tackling similar challenges.

Whether you are leading data strategy, implementing knowledge systems, or researching semantic technologies, you will find a community focused on practical insights and open exchange of ideas.

To learn more, visit the official Semantic Layer Symposium website!

Reading between the log lines - building your own web analytics.

Building an in-house web analytics system to understand user behaviour comes with quite a few challenges.

This talk explores the technical hurdles of dealing with high-volume data, the technologies involved and the complexities of processing user interactions at scale.

Agenda:
18:30 Arrive, Network and Food.
18:45 Introductions and catch-up.
19:00 Talk
20:30 Close and head off to pub (The Good Intent?) for some more talking.

Welcome to Building & Enabling Data Products with OpenMetadata & Databricks 👋🏼

What does it really mean to treat data as a product, and how do you turn that idea into a practical and scalable way of working?

In this DataTalk, we’ll share our view on what data products are, why they matter, and how they can help organisations create data that is more reusable, trusted, discoverable, and aligned with business needs.

We’ll explore how this approach can be implemented in Databricks, looking at relevant platform capabilities, architectural considerations, and best practices for building and managing data products.

We’ll also show how OpenMetadata can take your data product strategy to the next level by providing the governance and discovery layer needed across the organisation. This includes bringing together ownership, documentation, lineage, quality, and visibility.
A practical session for organisations looking to move beyond the data product concept and make it work in practice.

Schedule:
🍕 Food & drinks : 18:30 – 19:15
🎙 Part 1: 19:15 – 19:45
🚽 Break : 19:45 – 20:00
🎙 Part 2: 20:00 – 20:30
🍻 Drinks & networking : 20:30 – 23:00

Location:
📍 Location : Corda Campus Hasselt
🏢 Building : Corda 2
1️⃣ Floor : First Floor
↗️ Follow the arrows

Conditions:
For privacy reasons, we give notice that visual material may be created at this event - in the form of photo and/or film - which may be used afterwards through the DataTalks and DataSense media channels.

AGENDA:
17:55 - Introductions
18:00 - Craig Porteous: Centralise or Federate - How to Scale your Lakehouse
18:45 - Isi Turner: Crafting a Personal Brand: Your Career Deserves More Than Just a CV
19:30 - Refreshments & networking
20:00 - Finish

CRAIG PORTEOUS BIO:
Data Platform MVP | Technology Director @ Analytics Masterminds | DATA:Scotland event founder | He/Him.

I'm a lifelong learner with a passion for creative problem-solving. I share my expertise and insights with the data community through talks, video content, and bringing people together with the DATA:Scotland event.

SESSION 1 DESCRIPTION:
As organisations modernise their data platforms, one key question always surfaces: How do we scale this to serve the business?

Should you maintain a central Data Lakehouse for consistency and control, or federate it to empower teams and scale with agility?

In this session, I’ll explore the trade-offs between centralised and federated Lakehouse architectures, how to decide what fits your organisation, and why the best solutions often blend both approaches. You’ll learn how governance, data ownership, training, and tooling choices can make or break your strategy. Attendees will walk away with an understanding of the benefits of federation, and a practical roadmap for balancing autonomy with standardisation in a real-world Data Lakehouse.

ISI TURNER BIO:
They/Them | Senior Marketing Executive at Advancing Analytics

Isi is a Senior Marketing Executive at Advancing Analytics, and a freelance Brand Consultant and Digital Marketer. They've worked in marketing in the data space for over 5 years, with a keen interest in social media and branding. They're an advocate for neurodivergent and queer voices in the industry.

SESSION 2 DESCRIPTION:
Personal branding isn’t just for “influencers” - it helps set you apart from the crowd and opens the door to new opportunities. In such a heavily saturated industry, personal branding is becoming more important, but it can be daunting to start and tricky to stay consistent.

Drawing on my experience in marketing and community storytelling, I’ll guide you through what personal branding actually means and how it can benefit you, before covering 3 high-level strategies based on where you are in your journey:

- Entry level: you've never made a social media post, you're totally new to it all. Where do you start?
- Mid-level: you've made a few posts, but nothing too consistent. How do you keep momentum?
- Expert level: you consistently make posts that perform well. How can you increase reach and impact?

We'll cover how to use AI in personal branding, and some overarching tips and best practises regardless of the stage you're in.

You'll leave with a tangible strategy and tips to improve your personal branding - and hopefully the motivation to hit 'post' too!
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This event is kindly sponsored by Waterston's consultancy. You can check them out via the links below:
https://www.waterstons.com/
https://www.linkedin.com/company/waterstons/