Madrid dbt Meetup #4 (in-person)

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, DataOps, modeling, testing, and team structures.

📍 Venue Host: Utopicus Habana (P.º de La Habana, 9, 11, 28036 Madrid)
🍕 Catering: Drinks & Pizza at the place of the event
🤝 Organizer: Astrafy is organizing this event, enabled by the community team at dbt Labs

*To attend, please read the Health and Safety Policy and Terms of Participation: ***https://www.getdbt.com/legal/health-and-safety-policy
🗓️Agenda:

• 19h00: welcome
• 19h05: dbt semantic layer (Charles Verleyen & Alejandro de la Cruz Lopez - Astrafy)
• 19h35: break
• 19h45: Standardizing pipelines with DBT without dying trying (Ruben Ibañez Pinillo & Miguel Martin Tapia - Mercadona Tech)
• 20h15: networking with drinks & pizzas 🍺 🍕

🗣️Presentation #1: We will explore the concepts of a semantic layer and why it has been gaining traction recently. We will talk about why it is a foundation pillar for LLM and finish with a hands-on demo.
Speakers bio:
Charles is a data architect/engineer and has been working for the last 10 years in different industries before founding his company recently with a focus on providing modern data services.
Alejandro is a Data architect passionate about data, automation, and AI. He has recently shifted left on the data engineering aspect of data and is a savvy dbt engineer.
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🗣️Presentation #2: The talk explores the benefits and challenges of using DBT, a powerful tool for building and managing data transformations, to achieve standardization without sacrificing sanity. We will see best practices for leveraging DBT's features to streamline data pipelines, improve data quality, and achieve consistency across an organization's data infrastructure.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/
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/