Belgium dbt Meetup #6 (in-person)

The 6th edition of the Belgium dbt Meetup will take place in Leuven on June 6th.

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.

🏠Venue Host: Dataroots, Tiensevest 132, 3000 Leuven
🤝Organizer: Sam Debruyn
🚆 Getting there: 5min walk from Leuven train station, plenty of parking spots available

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

Our venue has capacity limits, so please only RSVP if you intend to come and reach out send a message in #local-belgium on Slack if you need to cancel last minute or change your RSVP status on the Meetup to "Not Going."

📝Agenda:

• 17h45: welcome with food & drinks
• 18h30: start presentations
• 20h30: networking & drinks

🗣️Presentations:

Gee, stop building into production!
In this talk I will give an overview of how you can bring the Write-Audit-Publish pattern from software engineering to your dbt project thanks to the neat features of modern data warehouses. I will also tap on the benefits and costs as well as the limitations of implementing these solutions.

Sonny Nguyen
Data Engineer at Dataroots
A data folk @ dataroots with a dockercap who creates scalable pipelines and assists businesses in adopting modern data stack technologies. I have years of profound experience implementing solutions with dbt and the Modern Data Stack in the venture, and fashion retail industry.

dbt semantic layer
We will start by exploring the concepts of a semantic layer and why it has been gaining traction recently. We will talk why it is a foundation pillar for LLM and finish with a hands-on demo.

Charles Verleyen
Lead architect at Astrafy
I am a 34 years old data engineer and have been working for the last 10 years in different industry before founding my company recently with a focus on providing modern data services.

Nawfel Bacha
Data Engineer at Astrafy
Data Architecture & Data Modeling

Analytics Engineering in Data Team Dynamics
The role of Analytics Engineering has gained prominence in the job market, often associated with the use of dbt. However, Analytics Engineers have been integral to data teams even before dbt popularized it.
This presentation aims to clarify the role of an Analytics Engineer within a data team. It delves into the challenges faced by Data Engineers, Data Analysts, and Data Scientists, providing insights into the frustrations encountered in these roles. The discussion focuses on how an Analytics Engineer can serve as a valuable support in addressing these challenges. Furthermore, it explores the role of an Analytics Engineer in enabling a more efficient Data Mesh and highlights the synergies with the modern data stack.
Additionally, this presentation explores various use cases and detailing projects where an Analytics Engineer has directly addressed data challenges by closely working with Data Engineers and business stakeholders.

Maryam Ilyas
Analytics Engineer at Dataroots
Maryam started as a data analyst, quickly she encountered the challenges inherent in the field answering business stakeholder. Gradually, she transitioned into the role of an Analytics Engineer.

We are always looking for speakers!

To submit a session for one of the next meetups, please use our Sessionize page.
Are you in doubt if you're ready to give a talk? Check out dbt Labs's guide on how to deliver a fantastic presentation!

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

dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. 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/