About this webinar
CPO & Co-founder @Kensu and O'Reilly author of "Fundamentals of Data Observability"
Global Director - Data & Analytics Platform, Governance & Strategy @Anheuser-Busch InBev
Data mesh shows how the current mindset to building data analytics systems is very much based on central teams, using central tools and relying on centralized data engineering. It’s “technology-first” thinking. This approach creates competence silos that don’t scale.
Join this 45-minute session and hear about the challenges of big data in enterprises and the implementation of data mesh at scale and what it means in terms of organization, processes and technical challenges. Finally, our experts will discuss scaling up analytics across different countries.
What you will learn
- What are the challenges of big data in an enterprise
- What does it mean to implement the data mesh principle at scale
- How to scale up analytics across different countries
- Generated value