Data lifecycle, master data, metadata, access controls, regulations and quality dimensions.
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- What are the primary phases of the data lifecycle?
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Creation, storage, use, archival, and deletion (or destruction)
- Define data lifecycle management
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The process of managing data through all stages from creation to disposal, ensuring quality and compliance
- What happens during the data creation phase?
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Data originates from various sources such as transactions, sensors, user input, or system logs
- What is data archival?
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Moving infrequently accessed data to long-term storage for compliance and cost efficiency while maintaining accessibility
- What is data disposition?
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The process of securely deleting, destroying, or disposing of data at the end of its lifecycle
- Why is data retention policy important?
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It defines how long data must be kept for legal, regulatory, and business reasons before safe disposal
- What is metadata in the data lifecycle?
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Documentation that tracks data provenance, ownership, transformations, and quality metrics throughout the lifecycle
- What is master data?
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Core business data that is referenced across multiple systems, such as customer, product, or employee records
- Define Master Data Management (MDM)
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Discipline that uses technology and processes to create and maintain accurate, consistent master data across the organization
- What is a golden record in MDM?
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A single, authoritative, consolidated view of master data that is considered the most accurate and complete version
- What does a data steward do?
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Responsible for defining data standards, ensuring data quality, and overseeing master data governance within their domain
- What is the primary benefit of MDM?
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Eliminates data silos, ensures consistency across systems, improves decision-making, and reduces risk of using conflicting data
- What is data lineage in master data management?
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The complete history and movement of master data, tracking its origin, transformations, and usage across systems
- What is metadata?
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Data that describes, defines, or provides information about other data, such as data type, format, source, or ownership
- What is technical metadata?
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Information about the structure and format of data, including field names, data types, length, and encoding standards