This page defines terms and concepts that appear repeatedly in Holistics. The following diagram shows the relationships among elements that are contained within other elements. All terms shown here are defined in the following sections.
A data source is a connection to your SQL database. This is the first thing you need to set up in Holistics.
The core of Holistics, an abstract/semantic layer where mapping between business logic and underlying data table sits. Data Teams will spend most of their time in this layer.
An abstract concept that sits on top of a database table, where different business logic are added in the modeling layer. Part of the modeling layer. There are 3 types of data models: Table, Transform and Import.
The linking between data models. Similar to joins/foreign-key relationship in database.
Each data model contains fields (similar to the data table and their respective columns). There are 3 types of fields:
- Base Dimension: the "original" fields in your source data.
- Custom Dimension: created by using non-aggregate functions to transform one or multiple dimensions.
- Custom Measure: A field that returns the result of a Metric, created by using aggregate functions (SUM, COUNT, etc)
A selected collection of data models and their relationships. Dataset is needed to explore data, and creating charts/dashboards.
Business Calculation is one type of the custom fields in Holistics computed on the result-set from your exploration activities, but it doesn't touch the original data warehouse and modeling layer.
A collection of charts put together. Dashboard can be shared to business users.
In Holistics, there are two types of widgets: Report widget and Text widget.
- A report widget or a chart is a dynamic visualization of data, is created by exploring a dataset.
- Text widgets are used to provide additional instructions, context, warnings... directly in your dashboard
A component to add to dashboard to let viewers control/restrict the data being displayed based on certain conditions.