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Data granularity refers to the level of detail present in a dataset. It describes the extent to which data is broken down into smaller parts, such as individual data points or intervals. A dataset with high granularity contains more detailed information, while a dataset with low granularity contains broader, summarized data.
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What is a data refinement?
Data refinement is the process of enhancing the quality or granularity of existing data to make it more accurate, reliable, or informative. This may involve cleaning, transforming, or enriching the data to improve its usability for analysis, reporting, or other purposes. Data refinement is essential for ensuring that data-driven decisions are based on high-quality, trustworthy information.
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.
Data granularity in a data warehouse?
Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usually referred to as atomic level data. Low granularity refers to data that is summarized or aggregated, usually from the atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly summarized data such as yearly averages and totals.
What is data granularity in a data warehouse?
Granularity refers to the level of detail or summarization in the units of in the data warehouse (Inmon, WH 2002). For example, one of the dimension might be a date/time dimension which could be at the year, month, quarter, period, week, day, hour, minute, second, hundredths of seconds level of granularity. High granularity means that the data is at or near the transaction level, which has more detail. Low granularity means that the data is aggregated, which has less detail.
What is granularity in sql database?
lowest level of data
What factors affect selection of granularity size for data item?
There are several factors guiding granularity selection: 1) overhead - the more granular the more objects and methods in supporting code, 2) regulatory - there may be compliance mandates specifying what granularity will be maintained in the data, 3) industry practice - your granularity should generally match that of cloud and third-party products if your system will be integrating with these services. For example, do not combine first and last name as a single data item if every one else manages these as two separate data items.
What is a data refinement?
Data refinement is the process of enhancing the quality or granularity of existing data to make it more accurate, reliable, or informative. This may involve cleaning, transforming, or enriching the data to improve its usability for analysis, reporting, or other purposes. Data refinement is essential for ensuring that data-driven decisions are based on high-quality, trustworthy information.
What is of granularity friability and erythema in the antrum?
Granularity, friability, and erythema in the antrum are all endoscopic findings. If these are found a patient is usually diagnosed with Gastroduodenal Crohn's disease
What is the resolution to a single shard?
The resolution to a single shard is the smallest level of detail or data that can be stored or processed within that shard. It determines the precision or granularity of information that can be recorded in that particular shard of a database.
What does the word 'granularity' mean?
Granularity is the extent to which is system is broken down into smaller parts. It can be either the system itself or its description. For example it can be a yard broken down into inches or a yard broken down into feet. The yard broken down into inches has finer granularity then the yard broken down into feet.
What has the author Suntae Hwang written?
Suntae Hwang has written: 'Dynamic control of parallel task granularity'
What does grandularity mean?
Granularity is the extent to which a system is broken down into small parts, either the system itself or its description or observation. In other words, it is how a larger entity is divided into smaller entities. For example, a yard broken into inches has finer granularity than a yard broken into feet.
Granularity erythema and erosions in the antrum are symptoms of what inflammatory bowel disease?
Probs not IBD but more peptic ulceration
How many teaspoons equal one gram of sugar?
There are approximately 5-8 grams of sugar in a teaspoon of sugar, depending on its granularity.
