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What are the differences between a data administrator and a database administrator?
Depending on the company, they could be the same. But, if they are different, here is the difference:A data administrator is one who oversees the data integrity of the database. They do not create objects and they may not have privileges to do anything other than "view" the data and report any data discrepencies to the database administrator(one who administers the entire database). The data administrator can check data in the tables to make sure there are no errors, can check to see if tables that need an index have one, are all programs valid--stuff like that. The database administrator is usually busy with fixing problems, creating tablespaces, tables, looking at error messages.
How do you know you have validated a research study based on data gathered from primary and secondary sources?
Research studies often use data gathered from primary and secondary sources. Primary data is easy to validate since it is being actively collected by the research team. Secondary data requires an extra level of validation.
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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How can you check the accuracy of your data?
No
