Explore how Europe's largest online fashion retailer, Zalando, transitioned from a centralized Data Lake to a distributed Data Mesh architecture in this NDC Oslo conference talk. Learn about the challenges of centralization, the concept of Data Products, and the principles of Data Mesh. Discover how Zalando implemented domain-driven distributed data architecture, self-service data infrastructure, and an ecosystem of data products. Gain insights into practical aspects such as central services with global interoperability, the "Bring Your Own Bucket" approach, and methods to ensure data quality. Understand the mindset shift required for successful Data Mesh implementation and get a glimpse into the future of data management in large-scale organizations.
Data Mesh in Practice - How Europe’s Biggest Online Fashion Retailer Goes Beyond the Data Lake
Overview
Syllabus
Intro
Who are we?
Legacy Analytics
Legacy Evolving
Zalando's Data Lake
Centralization Challenges
A Recurring Pattern
What is Data Mesh?
Data as a Product
Domain-Driven Distributed Data Architecture
Self-Service Data Infrastructure
An Ecosystem of Data Products
It's a mindset shift
Data Mesh in Practice
Central Services with Global Interoperability
Bring Your Own Bucket (BYOB)
Central Processing Platform
Simplify Data Sharing
How to Ensure Data Quality?
Into the Future
Taught by
NDC Conferences
