Final Exam: Emerging Data Trends
Intermediate
- 1 video | 32s
- Includes Assessment
- Earns a Badge
Final Exam: Emerging Data Trends will test your knowledge and application of the topics presented throughout the Emerging Data Trends track.
WHAT YOU WILL LEARN
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Outline the importance of adaptive data governance in dynamic business landscapes
provide an overview of strategies for balancing data governance with agility
describe innovative approaches to unlock the value of data through monetization
outline the role of artificial intelligence (ai)-driven storytelling in making data insights actionable
outline ethical considerations associated with innovative data practices
identify strategies for integrating ai and automation into data management processes
describe the concept of data fabric and its significance in the data-driven era
identify the ways data fabric addresses the challenges of data silos and complexity
describe the core components of a data fabric architecture
describe how data fabric can be operationalized in an organization
outline the relationship between data fabric and data mesh
outline the need for data fabric architecture
describe the purpose of an observability strategy and how to develop one
outline data observability use cases
outline similarities and differences between data observability and data quality -
provide an overview of best practices for data observability
describe the three types of observability (infrastructure, data, and machine learning)
outline popular data observability tools
outline use cases for implementing converged infrastructure
identify challenges in implementing converged infrastructure and composable systems
describe key ways in which cloud computing enables convergence and composability
describe the key elements of a converged system
identify the building blocks for enabling composability in systems
outline key business considerations for embracing a system strategy
describe the transformative nature of ai trism, the keys to its success, and real-world examples of ai trism in action
describe how ai trism leverages ai for informed decision-making
outline the importance and key features of ai trism for organizations
describe how organizations can achieve success with ai trism
outline the pillars of the ai trism framework
outline key factors for working with ai trism
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