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- Data
Enterprise Data Management
This learning path is actively being revised and updated. Existing content will be replaced and new content will be added to this page as it gets published and becomes available in the library. Planned final content includes: 1. Introduction to Enterprise Data Management 2. Coordinating Enterprise Data Across Teams and Domains 3. Managing Enterprise Data for Analytics and AI
Enterprise data management is the practice of governing, organizing, protecting, and improving data as a shared business asset so organizations can make trusted decisions and reduce risk. In this learning path, you’ll explore core EDM capabilities, evaluate common enterprise data challenges, and recommend practical approaches for coordinating data across teams and domains. You’ll also examine how strong data management supports reliable analytics and responsible AI adoption.
Content in this path
Enterprise Data Management
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What You'll Learn
- How to get started with enterprise data management
- How to coordinate enterprise data across teams and domains
- How to manage enterprise data for analytics and AI use cases
- Learners interested in this path should have a foundational understanding of how organizations use data for reporting, analytics, operations, and decision-making. Learners should also be familiar with core data concepts such as datasets, databases, data quality, and data governance.
- Data management
- Data quality
- Data governance
- Data lineage
- Metadata
- Data analytics
- AI
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