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NL dbt meetup: 9th Edition 2024-11-21 Β· 17:00

Our friends at Miele X are hosting us at their offices next to the Zuid Station.

17:30 – πŸ• Welcome

18:00 – 🎀 Sander van Lidth de Jeude (MieleX) - dbt Core at Miele - Databricks bundles for a consistent dev environment

18:30 – 🎀 Jochem van Dooren (Picnic) - introducing dbt-score, a linter for dbt metadata

19:00 - 🎀 Eva van Kalmthout (Schiphol) - Streaming data with dbt-databricks

19:30 –πŸ₯€ Drinks & Snacks

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Location: Miele X The Valley, Beethovenstraat 517, 1083 HK Amsterdam 5 min walk from station Amsterdam Zuid. Take the elevators on the opposite side of the reception to the 3rd floor.

--- Join the dbt Slack community: https://community.getdbt.com/ Join the conversation in the #local-netherlands channel in dbt Slack to connect with other data practitioners locally. To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://www.getdbt.com/legal/health-and-safety-policy

NL dbt meetup: 9th Edition
NL dbt meetup: 3rd Edition 2023-09-14 Β· 15:30

Get ready for the 3rd dbt Meetup in the Netherlands!

This time brought to you by https://vandebron.nl/Vandebron!

Schedule:

17:30 – πŸ• Welcome.

18:00 – 🎀 Utilizing Temporal Tables in dbt Incremental Models

18:30 – 🎀 Reigniting Data Modeling: Sensible Strategies for the 2020s and Beyond

19:00 – 🎀 Building on top of dbt

19:30 –πŸ₯€ Drinks

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🎀 Utilizing Temporal Tables in dbt Incremental Models

Daniel Herrera \| Principal Developer Advocate at Teradata

This session provides an in-depth examination of the integration of temporal tables within a dbt project. We'll elucidate how temporal tables serve as an efficient method for tracking newly added or updated records, thereby enhancing the efficiency of incremental models. Additionally, we'll highlight alternative strategies, including dbt snapshots, that can achieve comparable outcomes.

Discussion Points:

  • Review of Incremental Models: Understanding incremental models and their runs.

  • Insights into Temporal Tables: Dive into the functionalities of the TRANSACTIONTIME PERIOD fields and comprehend their significance in monitoring record additions and updates.

  • Harnessing Temporal Data in DBT: An extensive analysis on how dbt models can leverage temporal markers to filter and ingest only the newly added or updated data.

  • DBT Snapshots: An exploration of snapshots as an alternative approach to temporal tables.

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🎀 Reigniting Data Modeling: Sensible Strategies for the 2020s and Beyond

Niko Korvenlaita \| CTO at reconfigured

This talk covers theoretical and practical learnings from Niko's journey to productize data modeling best practices into performant dbt code, across major data warehouses. In this talk Niko will cover long forgotten data modeling best practices, as well as design you can apply to your own dbt projects. Be prepared: This is not going to be jaffle shop but instead we’ll dive to the deep end with incrementality, temporality and event ledgers. All whilst not blowing up your compute costs. Niko will also share practical learnings on how to build agile data processes in DWH centric setup.

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🎀 Building on top of dbt

Mats Stijlaart \| Analytics Engineer at Vandebron

Pieter Custers \| Tech Lead Data Analytics at Vandebron

dbt takes a central position in the data stack, but is never the start or the end of any data pipeline. In this talk Vandebron will show how they use Dagster β€” a data orchestration tool β€” and Lightdash β€” a self-service BI-tool β€” to seamlessly integrate Dbt in their stack.

Dagster and Dbt have in common that they recognize data assets as the first class citizens of a data pipeline. This common characteristic makes that they integrate very well with each other. The benefit of using Dagster is that its orchestration capabilities go beyond the data warehouse. This makes it possible to integrate dbt in a larger context, from ingestion to consumption of the data. Located at the consumption end, Lightdash is designed specifically to operate on top of dbt, and thereby lets you leverage the full potential of your data marts.

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

Join the conversation in the #local-netherlands channel in dbt Slack to connect with other data practitioners locally.

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

NL dbt meetup: 3rd Edition
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