GRANULARITY | English meaning - Cambridge Dictionary

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Granularity is the quality of including a lot of small details in information, making it possible to understand clearly what is happening. Learn more about the meaning, usage and examples of granularity in English and Business English.
GRANULARITY | definition in the Cambridge English Dictionary
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noun [ U ] us / ˈɡræn.jəˈler.ə.t̬i / uk / ˈɡræn.jəˈlær.ə.ti / Add to word list Add to word list. formal. the quality of including a lot of small details: The marketing analysis offers a high level of granularity. SMART Vocabulary: related words and phrases. Detailed and careful. blow-by-blow. detailedly. diligence. diligent. in the weeds idiom.
What Is Data Granularity? | Coursera
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Data granularity is the measure of how finely you divide your data. Choosing the right level of data granularity is essential to ensure analysis and predictions with your data are accurate, your data is stored correctly, and you can process it in the ways you want.
What Is Data Granularity? (Plus Why It's Important) | Indeed.com
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Information that's present in one single line or field within a database or data warehouse has coarse granularity, as it doesn't have any subdivisions. Information that's present in multiple lines or fields within a database or data warehouse has fine granularity, as it has different subdivisions. Related: What Are the Primary Types of Data?
What is granularity in data analysis and why is it important?
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Granularity in data refers to the level of detail or precision of the data. For example, data that has a high level of granularity would have a large number of individual pieces of information, such as individual records or measurements.
What is Granular Data? - Definition from Techopedia
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Dictionary. Data Management. Granular Data. by Technology Expert. Margaret Rouse. Updated on 15 February 2017. What Does Granular Data Mean? Granular data is detailed data, or the lowest level that data can be in a target set. It refers to the size that data fields are divided into, in short how detail-oriented a single field is.
Data Granularity - Statistics How To
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Granularity refers to the level of detail in a process. In a data warehouse, data granularity is the level of detail in a model or decision making process. It tells you how detailed your data is: Lower levels of detail equal finer, more detailed, data granularity [1, 2].
GRANULARITY Definition & Meaning | Dictionary.com
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the state or quality of being composed of many individual pieces or elements. Discover More. Example Sentences. The acid of the tomato destroys the granularity of the sugar. From Project Gutenberg. Granularity definition: the state or quality of being grainy or granular. See examples of GRANULARITY used in a sentence.
Granularity - definition of granularity by The Free Dictionary
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adj. 1. Composed or appearing to be composed of granules or grains: granular sugar; granular snow. 2. a. Having a high level of detail, as in a set of data: a more granular report that shows daily rather than weekly sales figures. b. Consisting of multiple diverse or discrete elements: granular income streams from a variety of tenants. 3.
What is Granularity? - Definition from Techopedia
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In computer science, granularity refers to a ratio of computation to communication – and also, in the classical sense, to the breaking down of larger holistic tasks into smaller, more finely delegated tasks.
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Granularity - Wikipedia
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Granularity (also called graininess) is the degree to which a material or system is composed of distinguishable pieces, "granules" or "grains" (metaphorically).
granular adjective - Definition, pictures, pronunciation and usage ...
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Granular means consisting of small granules or looking or feeling like a collection of granules. Learn how to use this adjective with pictures, pronunciation and usage notes.
Understanding Aggregation and Granularity in Data Analysis ... - Medium
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What is granularity? It refers to the level of detail or the extent to which data is divided or disaggregated. Data can be represented at different levels of...
The concept of granularity in the data analysis - Me-Mind
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The concept of “granularity” in the data analysis. Often the “granularity” concept comes up, when working with data. What does it mean? Granularity indicates the level of detail of that data. High granularity level refers to a high level of detail, vice-versa low granularity level refers to a low level of detail.
Understanding the Levels of Granularity: A Comprehensive Guide
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Contents. 1 What is Granularity? 1.1 Definition of Granularity. 1.2 Importance of Granularity. 2 Types of Granularity. 2.1 Temporal Granularity. 2.2 Spatial Granularity. 3 Why Understanding Granularity Matters. 3.1 Benefits of Understanding Granularity. 3.2 Applications of Understanding Granularity. 4 Levels of Granularity.
How Useful is Your Data? The Importance of Granularity - Measurement Mojo
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Data granularity is the level of detail considered in a model or decision making process or represented in an analysis report. The greater the granularity, the deeper the level of detail. Increased granularity can help you drill down on the details of each marketing channel and assess its efficacy, efficiency, and overall ROI.
granularity, n. meanings, etymology and more - Oxford English Dictionary
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What does the noun granularity mean? There is one meaning in OED's entry for the noun granularity. See ‘Meaning & use’ for definition, usage, and ... OED's earliest evidence for granularity is from 1882, in a translation by Sydney Vines, botanist. granularity is formed within English, by derivation.
Data Grain: What’s the Right Level of Granularity ... - Mozart Data
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In data warehousing, granular data or the data grain in a fact table helps define the level of measurement of the data stored. It also determines which dimensions will be included to make up the grain. These measurements of fact describe what you have populated in each row.
Data Granularity - C3 AI
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Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours. For ordering transactions, granularity might be at the purchase order level, or line item level, or detailed configuration level for ...

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