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Coordinating Enterprise Data across Teams and Domains

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Coordinating Enterprise Data across Teams and Domains

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Coordinating Enterprise Data across Teams and Domains, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 9/2026
By Nikola Ilic
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 35m 49s | Size: 276.7 MB


Enterprise data moves across teams, systems, and business domains.
Enterprise data moves across teams, systems, and business domains. Without clear coordination, each team may optimize its own work while the organization as a whole ends up with duplicate records, conflicting definitions, missing lineage, unclear ownership, and slow decision-making.
In this course, Coordinating Enterprise Data across Teams and Domains, you'll gain the ability to coordinate data responsibilities and decisions across the enterprise. First, you'll explore how enterprise data responsibilities are distributed across business, technical, governance, and platform teams. Next, you'll discover how to evaluate ownership, stewardship, and decision-making models, including centralized, federated, and domain-oriented approaches, as well as how to align standards, definitions, metadata, and lineage across domains so teams can reuse and trust shared data. Finally, you'll learn how to recommend coordination practices such as governance councils, working groups, data contracts, stewardship workflows, and review processes.
When you're finished with this course, you'll have the skills and knowledge of enterprise data coordination needed to clarify responsibilities, reduce cross-team confusion, and recommend practical coordination mechanisms for shared enterprise data initiatives.

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