Data Mesh

1. Overview

Data Mesh is a decentralized approach to data architecture and organizational design.
It treats data as a product, promoting data ownership by domain teams rather than centralizing data management.

Domain-Oriented Decentralization:
- Decomposes data architecture based on business domains or capabilities.
- Empowers domain teams to take ownership of data quality, governance, and accessibility.
Data as a Product:
- Treats data assets with the same rigor and standards as customer-facing products.
- Incorporates practices of product thinking, including user-centric design and iterative improvements.
Self-Serve Data Infrastructure:
- Facilitates autonomous data engineering by providing reusable infrastructure and tools.
- Focuses on reducing friction for domain teams to produce and consume data streams.
Federated Computational Governance:
- Implements a governance model that balances standardization with flexibility.
- Encourages shared accountability and compliance within a federated structure.

Organizational restructuring to support domain-oriented teams with end-to-end autonomous capabilities.
Adoption of cloud-native data platforms to enable scalable self-service capabilities.
Integration of agile and DevOps practices to streamline data product development and operations.
Emphasis on collaboration between data producers and consumers through cross-functional teams.

Improved agility and responsiveness to business needs by empowering domain experts.
Enhanced data quality and relevance through ownership and accountability at the domain level.
Reduction in bottlenecks and silos typically associated with centralized data management.
Better alignment between data initiatives and business priorities.