We explore the implementation of a data mesh architecture at a 100-year-old enterprise (Aurobay) that gained independence from parent company(Volvo Cars). Facing a unique challenge of an established business without centralized data capabilities, we'll share how a small team of 4 engineer and an architects transformed the organization's approach to data.
The talk will begin with an examination of the business context that led to selecting a distributed analytics approach, followed by our strategic decision to implement Databricks as our platform of choice.
We'll detail the development of our "vending machine" system—a collection of templates and boilerplate code that empowers teams to rapidly deploy data solutions with minimal friction.
Attendees will gain insights into how we keep scaling data enablement across the organization despite limited resources, the governance frameworks established to ensure quality and compliance, and how we leverage OKR and quarterly KPI to drive measurable progress toward our data objectives.
This case study offers lessons for organizations seeking to democratize data while maintaining cohesive standards in a resource-constrained environment