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Zurich dbt Meetup #3 (in-person)
2024-12-05 · 17:45
The 3rd edition of the Switzerland dbt Meetup and the first one in lovely Zurich! 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. 🤝 Organizer: Astrafy is organizing this event, enabled by the community team at dbt Labs 📍Venue Host: Spaces - Bleicherweg 10, Zurich 🍕 Catering: Pizzas and drinks To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy 🗓️ Agenda
🗣️ 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. Andrea is Head of Data Engineering at Astrafy, with a background in computer science and a strong track record working at various international companies as a data engineer. 🗣️ Presentation #2: On is a fast-growing sports & lifestyle apparel company, headquarted in Zurich. The tech & data landscape at On is no exception to such growth. The Data Platform Team provides a case study on how to balance excellence and foster innovation across this landscape and how dbt is indispensable in achieving a governed data-driven culture. Speaker bio: Lewis Osborne is a Lead Data Engineer at On, passionate about building robust analytics models and user-friendly BI interfaces. With expertise in cloud data engineering and tools like dbt, Looker, and BigQuery, he focuses on creating impactful data solutions and streamlined workflows. EVENT DETAILS: The doors open at 6:45 pm. Presentations begin at 7 pm. Food and refreshments will be provided. Please note: Photos will be taken at the meetup and will be used on Astrafy’s communication channels. Please get in touch ahead of the event if you do not consent to this. ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝 For the best Meetup experience, make sure to join the #local-\ channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- 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/ |
Zurich dbt Meetup #3 (in-person)
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Geneva dbt Meetup #2 (in-person)
2024-02-01 · 17:30
The 2nd edition of the Switzerland dbt Meetup and first one in lovely Geneva! 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: Spaces - Geneva (Quai de l'Ile 13, 1204 Genève, Switzerland) 🍕 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 Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb 🗓️Agenda:
🗣️Presentation #1: dbt cloud is gaining a lot of traction due to its accessibility and important new data mesh features that facilitate multi projects collaboration. In this talk, we will cover the basics of dbt cloud and the multi-projects collaboration features (dependencies.yml, model versioning, data contracts, etc.). All this will be demoed with the "jaffle shop" repositories. Speakers bio: Andrea is Data geek with a background in computer science and a strong track record at various international companies as a data engineer. David is a data engineer passionate about automation and integrations of popular tools in the market. Currently bringing his DataOps expertise and good practices to the MLOps landscape. --- 🗣️Presentation #2: Data Vault 2.0 is one of the most advanced data modeling techniques and there exists a dbt package in the name of "AutomateDV" to ease its implementation at scale. In this talk with demo, Nawfel and Emmanuel will go over the concepts of Data Vault 2.0 and show a real implementation of Data Vault 2.0 using dbt and "AutomateDV" package. Speaker bio: Nawfel is passionate about data and has recently become an expert in dbt (certified since 2023) and also in Data Vault through an intensive bootcamp with scalefree institution. Emmanuel is savvy data engineer that has been working in the data department of Jaeger-Lecoultre for the last two years. ➡️ 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/ |
Geneva dbt Meetup #2 (in-person)
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Lausanne dbt Meetup #1 (in-person)
2023-09-28 · 16:30
The 1st edition of the Lausanne dbt Meetup! 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: Regus - Lausanne, Main Station (Pl. de la Gare 12, 1003 Lausanne) 🍕 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:
🗣️Presentation #1: Data Mesh with dbt Description: Data Mesh has become a powerful buzzwords and every data practitioner has heard about it. The major problem with buzzwords is that there are a lot of interpretations around them and this can generate quite some frustration. In case of data mesh, it can also slow down the adoption of this amazing new paradigm. In this session we will demystify the main concepts of data mesh and bring those to life with dbt with concrete data products from Astrafy real data. You can expect to see data mesh in actions in a very pragmatic way as we will cover as well activation of data from those data products by downstream applications (leveraging dbt semantic layer). Speakers bio: Andrea is Data geek with a background in computer science and a strong track record at various international companies as a data engineer. David is a data engineer passionate about automation and integrations of popular tools in the market. Currently bringing his DataOps expertise and good practices to the MLOps landscape. --- 🗣️Presentation #2: "Want to know the MLOps lifecycle of an enterprise grade use case?" Description: The speaker will cover end to end the technical implementation of a real world use case: data acquisition, model training, serving, MLOps, technical infrastructure. It will make emphasis on the use of GCP services, Vertex AI, monitoring of user satisfaction & model performance, best practices, lessons learned during the use case implementation. Speaker bio: Pelayo is a senior machine learning engineer with severals years of experience, he is a major driving force for the innovation and learning of the best practices in MLOps at Richemont. ➡️ 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/ |
Lausanne dbt Meetup #1 (in-person)
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