Name: Data Mesh Belgium - meetup #4 @ Leuven
Start: 2024-11-14T18:00:00+01:00
End: 2024-11-14T22:00:00+01:00
Location: De Hoorn

**Join us for the 4th Data Mesh Belgium Meetup on November 14, 2024!**

This time we will host the event in Leuven, De Hoorn. In partnership with [Soda](http://soda.io/) and [Datavillage](https://www.datavillage.me), this event promises to be a deep dive into cutting-edge topics around Data Mesh. [Tom Baeyens](https://www.linkedin.com/in/tombaeyens/) will explore the surprisingly relevant parallels between managing toddlers and ensuring data reliability within a Data Mesh. [Frederic Lebeau](https://www.linkedin.com/in/lebeaufrederic/) will focus on how to ensure that data remains secure and private while enabling seamless data collaboration across different domains.

**SCHEDULE**

* **18h 00 - 18h 40:** Food & Drinks
* **18h 40 - 18h 45:** Welcome by Tom De Wolf
* **18h 45 - 19h 30:** [Tom Baeyens](https://www.linkedin.com/in/tombaeyens/) \- Toddlers\, Discipline\, and Data Reliability in Data Mesh
* **19h 30 - 19h 45:** Short break
* **19h 45 - 20h 30:** [Frederic Lebeau](https://www.linkedin.com/in/lebeaufrederic/) \- Securing Data Mesh Collaboration with Confidential Computing
* **20h 30 - 21h 00:** Networking

**TALK ABSTRACTS**
► **"Toddlers, Discipline, and Data Reliability in Data Mesh'"** by Tom Baeyens

Every data team has a desire for reliable analytical data yet very few teams succeed in consistently delivering reliable data at scale. Data engineering is toddler without discipline. Hacking ETL scripts together is fast and can be done by anyone. Software engineering is the mature adult. Encapsulation, testing and observability are known techniques that boost data teams to delivering reliable data consistently. These software engineering principles also offer a different viewpoint for the concepts of Data Mesh.

► **"Securing Data Mesh Collaboration with Confidential Computing"** by Frederic Lebeau

Learn how confidential computing improves the security of multi-party data and AI collaborations by protecting sensitive information during processing. See how identifiable workloads help strengthen governance and simplify data access management, ensuring distributed data confidentiality and integrity.

**SPEAKER BIOS**
► **[Tom Baeyens](https://www.linkedin.com/in/tombaeyens/) \- Co\-founder and CTO at [Soda](http://soda.io/)**
Tom is passionate about simplifying software automation. He has built open source workflow engines at JBoss and Red Hat creating open source brand names like jBPM, Activiti. After upgrading to data engineering he co-founded Soda to tackle the problem of data quality where he specializes in the data testing creating a declarative data contracts language.

► **[Frederic Lebeau](https://www.linkedin.com/in/lebeaufrederic/)** **\- Co\-founder and CEO at [Datavillage](https://www.datavillage.me)**
Frédéric Lebeau is an experienced professional with over 20 years in the financial industry. He started as a software developer, specializing in creating robust solutions, then transitioned to cybersecurity, where he worked on securing e-banking platforms. Lebeau's expertise in cyber and application security grew, leading to roles in application security development and security architecture. He eventually led development teams at BNP Paribas, shaping the bank's technology and security strategies. His career progressed into senior management roles focused on technology, innovation, and open banking. Before co-founding Datavillage, he was the chief architect of a private bank, driving modernization and future-proofing efforts.

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Data Mesh Belgium - meetup #4 @ Leuven

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