What is data mesh and how does it work?
Data mesh is a decentralized approach to data architecture that emphasizes domain-oriented ownership and self-serve data infrastructure.
What are the main principles of data mesh?
The main principles include domain-oriented decentralized data ownership, data as a product, self-serve data infrastructure, and federated computational governance.
How does data mesh differ from traditional data architectures?
Unlike traditional architectures that centralize data management, data mesh promotes distributed ownership, allowing teams to manage their own data.
Can you give an example of a company using data mesh?
Companies like Zalando and Netflix have implemented data mesh to enhance their data accessibility and scalability across teams.
What are the challenges of implementing a data mesh?
Challenges include cultural shifts, ensuring data quality, and establishing governance frameworks across decentralized teams.
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