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www.coursera.org/articles/data-granularityPrivate View 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.
Database Cardinality: A Brief Overview | Coursera www.coursera.org/articles/cardinalityPrivate View Cardinality helps organize data, ensuring you can quickly find what you’re looking for, correctly place new information, and record data with appropriate granularity. Types of cardinality in databases. When modeling data, you can choose three main types of cardinality: one-to-one, one-to-many, and many-to-many.
What is High Cardinality in Observability? | Chronosphere chronosphere.io/learn/what-is-high-cardinalityPrivate View Whatdoes high cardinality mean? When we talk about metric cardinality, we mean the number of unique time series that are produced by a combination of metric names and their associated labels [dimensions]. The total number of combinations with data that exist are cardinalities. The more combinations there are, the greater a metric’s cardinality is.
Emotional Granularity - Exploring your mind exploringyourmind.com/emotional-granularityPrivate View Emotional granularity refers to how specific we are in expressing our emotions. It involves the ability to express emotions precisely and according to the context in which they emerge. In other words, it’s the level of specificity that characterizes the expression of an emotional experience.
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