| domain | datamesh-architecture.com |
| summary | The text describes a temporary collaboration between a member of an "enabling team" and a "domain team." This individual serves as an internal consultant for a month to comprehend the domain team's needs, foster a learning atmosphere, enhance team members' data analytics skills, and instruct them on utilizing the self-serve data platform. For this process to be successful, three key elements are required:
1. A unified "data mesh vision" from top management to align all team members in pursuing the same objective. 2. An accessible self-serve data platform that encourages the engineering team to embark on a data analytics learning journey. 3. A high level of trust within the team, enabling them to navigate this process at their own pace and in their preferred manner. |
| title | Data Mesh Architecture |
| description | A data mesh architecture is a decentralized approach that enables domain teams to perform cross-domain data analysis on their own. |
| keywords | data, domain, mesh, team, teams, products, platform, product, domains, have, journey, build, systems, central, business, more, needs |
| upstreams |
datacontract.com, datamesh-governance.com, datamesh-manager.com, gitops.tech, innoq.com |
| downstreams |
datamesh-manager.com, dataproduct-specification.com, datacontract.com, innoq.com, martinfowler.com, datamesh-governance.com, domainlanguage.com, wikipedia.org, spring.io, debezium.io, google.com, apache.org, teamtopologies.com, scs-architecture.org, ml-ops.org, datameshlearning.com, ibm.com, streamlinehq.com, github.com, substack.com, oreilly.com, manning.com, twitter.com, whichjdk.com, gitops.tech |
| nslookup | A 172.67.185.122, A 104.21.68.28 |
| created | 2024-02-13 |
| updated | 2025-10-24 |
| summarized | 2025-10-25 |
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