1a : consisting of or containing granules : having a grainy texture. b : having granules with an affinity for specific biological stains granular cytoplasm. 2 : having or marked by granulations granular tissue. Other Words from granular.

What does a granular approach 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. … As the data becomes more subdivided and specific, it is also considered more granular.

What does granular mean in business terms?

In business, the term ‘granularity’ refers to the level of detail considered in a decision-making process. Granularity in data is used to characterize the level of detail in a set of findings. When you look at the sand at the beach, it’s made up of tiny parts.

How do you use the word granular?

Granular sentence example

  1. If the tin is pure it splits into a mass of granular strings. …
  2. It has the appearance of a delicate tube which has granular contents, and is provided withani apexthatappears to be open. …
  3. The protoplasm of a living cell con.

What does granular mean in science?

Granularity (also called graininess), the condition of existing in granules or grains, refers to the extent to which a material or system is composed of distinguishable pieces.

What does granular mean in medical terms?

[granu-lar] made up of or marked by the presence of granules or grains.

What is granularity in Analytics?

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.

What is meant by granularity give examples?

Granularity is the level of detail at which data are stored in a database. When the same data are represented in multiple databases, the granularity may differ. As an example, consider the following tables: Both tables contain a cost attribute, but the meaning and use of the columns are different.

What is granularity in data warehouse?

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 (Ponniah, 2004; Bellahsne, 2008).

What is meant by granularity of data?

Data granularity refers to data’s level of detail. The more granular the data, the more detailed it is and the more precise analysis can be.

What is the synonym of granular?

spirited, starchlike, gamy, granulose, amyloidal, grainy, spunky, coarse-grained, mettlesome, game, mealy, gamey, amyloid, amylaceous, gritty, chondritic, farinaceous, large-grained. Antonyms: fine. chondritic, granularadjective.

What is product granularity?

We define product set granularity as the average difference in attractiveness between all pairs of products in an assortment that are adjacent (closest) in terms of product attractiveness.

What is meant by granular level?

highly detailed; having many small and distinct parts: data analysis on a granular level.

Can you say more granular?

my recommendation would be as follows: if you really want to say more fine-grained, say exactly that instead of more granular. in the (rare) case where you really want to say something is more grainy – irrespective of the size of granules – then go ahead and say more granular, but be prepared to be misunderstood.

What is sentence of granular?

The substance is hard and granular. 2. The real thing is granular, not powdery. … Freeze dried instant coffee is always more granular and chunky than instant coffee powder.

What is metadata explain granular data?

Metadata is simply defined as data about data. The data that is used to represent other data is known as metadata. For example, the index of a book serves as a metadata for the contents in the book. In other words, we can say that metadata is the summarized data that leads us to detailed data.

What is granular in food?

Granular ingredients are solids made up of tiny grains or small particles. For example, sugar is a typical granular ingredient. The particles can also be extruded pieces, flakes or pellets.

What is granulation in the Sun?

A granule is a convection cell in the Sun’s photosphere. They are caused by convection currents of plasma in the Sun’s convective zone, directly below the photosphere. The grainy appearance of the solar photosphere is produced by the tops of these convective cells and is called granulation.

What are the levels of granularity?

Granularity refers to the level of detail or summarisation of the units of data in the data warehouse. The low level of granularity contains high level of detail and the high level of granularity contains low level of detail.

Why is granularity important?

Granular data is detailed data, divided into its lowest level. Granularity matters to marketers because it gives them the ability to distill huge chunks of marketing activity so that you can understand the smaller components.

What is high granularity?

High granularity is what defines data to the most precision, so in my scenario Hourly is the highest granularity, then Daily next highest, Monthly next after that and Yearly the lowest granularity. Hence the higher the granularity the more data rows you will have.

What is granularity in high performance computing?

From Wikipedia, the free encyclopedia. In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. Another definition of granularity takes into account the communication overhead between multiple processors or processing elements.

What is data Grain?

What Is Data Grain? 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.

What is grain in SQL?

The grain (or granularity of the fact) refers to the ‘level’ at which you’re taking a measurement. A fact table describes a measurement taken of a business process, so the best way to describe the grain is to describe what you get for each row.

What is staging in data warehouse?

A staging area, or landing zone, is an intermediate storage area used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s), which are often data warehouses, data marts, or other data repositories.