While you can find a full comprehensive GoodData Glossary in the main GoodData product documentation, sometimes you just need a quick list of the most used terms, especially if you're just getting started with GoodData or data analytics in general.
Workspace is an analytical environment for your end users. In multi-tenant environments, customers keep one workspace per tenant to achieve the best performance, security and level of customization.
A workspace is a collection of dashboards, visualizations, metrics, data models, data sets, and users. Workspaces can also be referred to as projects.
Logical Data Model (LDM)
A model of the relationship between all the facts and attributes within a project which makes creating charts and building metrics with MAQL possible.
A logical data model is frequently visualized as an oriented graph that illustrates the relationships found in the logical data model. This can be referred to when building metrics and charts.
Individual numerical measurements attached to a data set in the source data. Facts are always numbers and are the most granular units of data. Facts can aggregated by MAQL expressions into computed measures.
A collection of all the facts and metrics in a GoodData workspace.
Aggregations of facts, or counts of distinct attribute values, presented as numbers in GoodData reports. Metrics are defined by customizable aggregation formulas. Metrics represent what is being measured in a given report.
Metrics are written in the MAQL language.
An analytical coding language developed by GoodData used to create custom metrics in dashboards. A single MAQL expression can be used in many various contexts: can be sliced by attributes (see below) and filtered to produce an insight, can be used in numeric filters, or reused in more complex expressions.
Descriptive variables used to slice metrics and provide context to a report’s data. Attributes dictate how metrics are calculated and represented.
A collection of related facts and attributes, presented as a table. For example, the opportunity data set would contain facts related to attributes like name, opportunity amount, stage, etc.
The raw records that GoodData users load from their database into project data sets, for use in the project's data model and available to build metrics in dashboards.