Learn how Velux is building a scalable data mesh from the ground up using dbt to design and model data products in Snowflake. This session explores how dbt serves as the single source of truth, and how the team uses custom and enhanced macros to simplify data engineering workflows and accelerate data delivery.

Le Data Mesh est souvent perçu comme un simple mot à la mode. Pourtant, derrière ce terme se cache une transformation profonde dans la manière dont les organisations structurent et font évoluer leur stratégie data. Dans cette présentation, nous allons : Expliquer ce qu’est réellement le Data Mesh, au-delà des buzzwords ; Comprendre pourquoi ce concept est apparu, en réponse aux limites des architectures centralisées traditionnelles ; Explorer ses quatre piliers fondamentaux : Domain ownership, Data as a product, Self-serve data platform, Federated governance. L’objectif est de démystifier le concept, d’identifier dans quels contextes il est pertinent de le mettre en œuvre, et de souligner les conditions nécessaires à sa réussite. Enfin, nous verrons les premiers pas concrets qu’un CDO ou CIO peut entreprendre pour amorcer cette transformation vers une approche Data Mesh.

Based on a large retail project, discover how to evolve an IT system built through incremental layers (monoliths, [micro]services, streaming, governance, applications…) into a data-centric, real-time, high-performance system, where governance, rule and data catalogs, data mesh, and scalability are integrated by design—not as add-on layers.

Based on a large retail project, discover how to evolve an IT system built through incremental layers (monoliths, [micro]services, streaming, governance, applications…) into a data-centric, real-time, high-performance system, where governance, rule and data catalogs, data mesh, and scalability are integrated by design—not as add-on layers.