In this session, we will explore the path Zurich Insurance took to modernize its data stack and data engineering practices, and the lessons learned along the way. We’ll touch on how and why the team chose to:
– Adopt community standards in code quality, code coverage, code reusability, and CI/CD
– Rebuild the way data engineering collaborates with business teams
– Explore data tools accessible to non-engineering users, with considerations for code-first and no-code interfaces
– Structure our dbt project and orchestration — and the factors that played into our decisions
Talk by: Jose L Sanchez Ros and Gerard Sola
Here’s more to explore:
Why the Data Lakehouse Is Your next Data Warehouse: https://dbricks.co/3Pt5unq Lakehouse Fundamentals Training: https://dbricks.co/44ancQs
Connect with us: Website: https://databricks.com
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc
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