Madrid dbt Meetup #2 (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, data ops, modeling, testing, and team structures.

📍Venue Host: Utopicus Principe de Vergara (C. del Príncipe de Vergara, 112, 28002 Madrid)

🍕 Catering: Beers & 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 Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

🗓️Agenda:

• 18h45: welcome
• 19h00: dbt history and its potential for data quality (Charles Verleyen & Alejandro de la Cruz Lopez - Astrafy)
• 19h30: break
• 19h40: Managing alerting workflow with dbt (Mikkel Dengsoe - Synq)
• 20h10: networking with drinks & pizzas 🍺 🍕

🗣️Presentation #1: dbt history and its potential for data qualityt

Description: from its genesis in 2016 until its massive fundraising in recent years, dbt has revolutionized the data world in just a few years. In this talk we will look back at the key factors that made dbt so popular and we will then talk about how dbt can help with data quality.

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: Managing alerting workflow with dbt

Description: Managing the alerting workflow is no easy task as you scale. On one side you want to know about issues as they happen but at the same time you don’t want to end up flooded with data alerts that don’t get actioned. When data teams don’t find the right balance and end up having too many alerts that are unaddressed it can lead to negative consequences such as

• Important issues get overlooked
• Triaging and monitoring alerts become a time sink
• The data team loses confidence in the impact of writing tests

In this talk Mikkel will dive into what a better alerting flow looks like and give go through how you can get use metadata from the dbt manifest.json to bring in ownership, root cause and importance to your alerts.

Speaker bio:

Mikkel is the co-founder of Synq. Prior to Synq, he was leading data teams at the UK challenger bank Monzo seeing the team scale to 100 people and thousands of data models. He frequently writes about all things data at https://mikkeldengsoe.substack.com/

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

🤝For the best Meetup experience, make sure to join the #local-madrid 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/