In this twofold session, I'll cover how we've used dbt to bring order in heaps of SQL statements used to manage a datawarehouse. I'd like to share how dbt made our team more efficient and our data warehouse more resilient. Secondly, I'll highlight why dbt enabled a way forward on supporting low-code applications: by leveraging our data warehouse as a backend. I'll dive into systemic design, application architecture & data modelling. Tools/tech covered will be SQL, Trino, Outsystems, GIT, Airflow and of course dbt! Expect practical insights, architectural patterns, and lessons learned from a real-world implementation.
talk-data.com
K
Speaker
Kobe Thuwis
1
talks
Data Engineer
Infofarm
Turning coffee into code ☕ I'm a passionate data engineer who loves diving into technical challenges and building robust, scalable solutions.
Bio from: Belgium dbt Meetup #12 (in-person)
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