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Dataphin:Logical Dimension Table

Last Updated:Jan 21, 2025

A dimension represents an object for statistical analysis, typically an objectively existing entity. Dataphin adheres to Ralph Kimball's Dimensional Modeling principles to standardize the existence and uniqueness of business entities, or master data, from a top-level perspective. These dimensions, along with their combinations, define the granularity for statistics of derived metrics. For instance, in a transaction procedure analysis, dimensions such as buyer, seller, product, and time describe the transaction environment. This topic provides an overview of logical dimension tables.

Prerequisites

Creating a logical dimension table requires the creation of business entities to be completed. For more information, see Create and manage business entities.

Logical Dimension Table Configuration Entry

  1. On the Dataphin home page, click Development on the top menu bar.

  2. Use the operation guide shown below to navigate to the Logical Dimension Table configuration page.

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Configure Logical Dimension Table

Dataphin supports various types of logical dimension tables, which can be created via the configuration page. The types and their descriptions are as follows:

Logical Table Type

Description

Create dimensions.

A standard logical dimension table characterizes entity objects by detailing their various attributes. For instance, a member logical dimension table may contain information like member names, IDs, and email addresses.

Create and configure a set of hierarchy dimension tables.

A hierarchical logical dimension table is a type of dimension table that features a hierarchical structure. For instance, a regional hierarchical logical dimension table may contain levels of data ranging from country and province to city and district.

Modify dimensions.

An enumeration logical dimension table standardizes enumeration values and lists them to identify enumeration dimension objects. For example, it can be a code table with a key-value structure, like one for gender.

Unpublish or delete dimensions.

A virtual logical dimension table standardizes dimension objects lacking a specific business entity or definable data range logic. Examples include visitor and URL.