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What are the differences between a data administrator and a database administrator?
A data administrator is responsible for overall data management strategy and policies within an organization, including data architecture and governance. A database administrator is focused on managing and maintaining specific database systems, ensuring they operate efficiently, securely, and meet the organization's needs. Essentially, the data administrator oversees data at a higher level, while the database administrator manages the technical aspects of individual databases.
How do you know you have validated a research study based on data gathered from primary and secondary sources?
To validate a research study based on data from primary and secondary sources, you can compare the findings from both sources to check for consistency and coherence. Ensure that the data aligns with the research objectives and hypotheses. Additionally, cross-referencing the data with existing literature or consulting with experts in the field can help validate the study's findings.
What is a repository for definitions of data processes data flows data stores and data elements.?
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
What is metadata what is its use in data warehouse architecture?
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
What is explicit data and implicit data?
Explicit data is data that is clearly stated or defined, while implicit data is implied or hinted at. Explicit data is typically straightforward and directly provided, whereas implicit data requires context or interpretation to understand its meaning. In the context of programming, explicit data is data that is clearly declared and specified, while implicit data is data that is inferred or derived.
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