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It seems like there might be a typo in your question. Did you mean "data processing"? If so, data processing refers to the collection, manipulation, and analysis of data to extract meaningful information and support decision-making processes. This can involve activities such as sorting, filtering, aggregating, and summarizing data.

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1y ago

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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.


Is a logical unit of data and is a physical unit of data?

A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.


What are the Data staging steps in data warehousing?

Data staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.

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