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on
1
Intro
2
Who are we?
3
Legacy Analytics
4
Legacy Evolving
5
Zalando's Data Lake
6
Centralization Challenges
7
A Recurring Pattern
8
What is Data Mesh?
9
Data as a Product
10
Domain-Driven Distributed Data Architecture
11
Self-Service Data Infrastructure
12
An Ecosystem of Data Products
13
It's a mindset shift
14
Data Mesh in Practice
15
Central Services with Global Interoperability
16
Bring Your Own Bucket (BYOB)
17
Central Processing Platform
18
Simplify Data Sharing
19
How to Ensure Data Quality?
20
Into the Future
Description:
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

NDC Conferences
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