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Study mode:
on
1
Intro
2
Introductions
3
Arifs background
4
Agenda
5
Data Sources
6
Data Pipeline
7
The bottleneck
8
The pain points
9
What is Data Mesh
10
Product Thinking
11
Data Product Manager
12
Bring Your Own Bucket
13
Central Provision of Infrastructure
14
Decentral Ownership
15
Data Mesh Adoption
16
Whats Next
17
Closing
Description:
Explore how Zalando, Europe's leading online fashion platform, transitioned from a centralized Data Lake to a distributed Data Mesh architecture in this 30-minute conference talk. Learn about the challenges of the Data Lake paradigm, including unclear responsibilities, lack of data ownership, and poor data availability. Discover how Zalando addressed these issues by implementing a decentralized approach that empowers data owners with domain knowledge. Delve into the concept of Data Products, which go beyond simple file sharing to ensure quality and acknowledge ownership. Follow Zalando's journey as they built their Data Mesh using Spark and Delta Lake, and gain insights into their ongoing efforts to simplify data product creation through templating. Understand the benefits of this architectural shift in terms of scalability, accessibility, and data democratization for large-scale organizations.

Data Mesh in Practice - Beyond the Data Lake for Fashion E-Commerce

Databricks
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