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Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual and unstructured.
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An Introduction to Data Fabric Architecture
In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology.
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Data Engineering for Analytics and AI
This course provides participants with the essential data engineering strategies and techniques needed to source, structure, and manage quality data for successful analytics and AI outcomes.
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Building an Effective AI Strategy and Roadmap
In this course, Donna Burbank will provide a practical, real-world approach for integrating AI into your organization’s data-related strategy and roadmap.
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Data Architecture Patterns: A Guide to Designing Scalable and Resilient Solutions
By the end of this workshop, students will have a clear understanding of the various architectural patterns used in modern data platforms, how to match them to specific business needs, and how to recognize the strengths and limitations of each.
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Data Monetization: Creating New Data-Driven Value Streams
In this workshop, Amie Richards will guide attendees through a formal approach to ideation, feasibility assessment, economic analysis, and the design, development, and support of data products and services. Participants will work together to generate and assess real ideas for their own business.
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Data as a Product: Establishing a Value-Driven Model for BI and Analytics Delivery
This course empowers data and analytics professionals to revolutionize their approach to data. Students will master the concept of data as a product, a paradigm shift from traditional project-based data handling to a sustainable, value-driven product model.
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Master Data Management: The Intersection of Architecture, Governance, and Process
This course provides practical strategies for gaining value from your MDM initiative, while at the same time ensuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
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Metadata in the Modern Data Ecosystem: Tools, Techniques, and Strategies
This course is organized around the lifecycle of metadata—from collection to active use—and the importance of aligning practices with the needs of different roles.
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How to Manage Data as an Actual Corporate Asset
In this course, Amie Richards will show students how key concepts from the traditional world of asset and supply chain management can and should be applied to enterprise data assets.
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