Dataflow diagram
The Dataflow diagram section explains the object types that appear in AnalyticsCreator's visual dataflow and how they represent movement, transformation, and delivery across the solution.
Use these topics to understand how operational objects relate to one another in the diagram and how to read the pipeline from filtering and grouping through storage, historization, and export.
Available topics
Dimension
A dimension is a metadata object used in the data warehouse model to organize descriptive business data and support analysis of facts through shared business context.
Export
Shows how export objects appear in the dataflow diagram and how they deliver modeled data to downstream targets.
Fact
In AnalyticsCreator, a fact is a metadata object used to model quantitative business data for analytical processing in the data warehouse and data mart.
Filters
A filter is a reusable view definition used in the dataflow diagram to limit the visible objects based on selected criteria such as object types, layers, schemas, or groups.
Historization
A historization is a metadata object used to track changes of a table or transformation over time in the data warehouse model.
Import
Shows how import objects appear in the dataflow diagram and how they bring source data into the warehouse pipeline.
Layers
A layer is a logical architectural slice used to group metadata objects and define their build order and visibility in the model.
Object groups
Object groups are used to organize objects such as sources, tables, and transformations into reusable groups.
Persisting
A persisting object is a metadata object used to store the content of a regular or manual transformation in a table to improve access speed for complex transformations.
Search
Search is a dataflow diagram feature used to quickly locate objects by entering keywords or phrases in the search bar.
Table
A table is a metadata object that represents a database table or view within the data warehouse.
Transformation
A transformation is a metadata object used to define how data is processed in the staging and warehouse layers.
How to use this section
- Start with Search, Filters, and Object groups when you need to orient yourself inside a large visual model.
- Use Layers, Source, Table, and Transformation to follow the structural path of data through the warehouse.
- Use Fact, Dimension, Import, Historization, and Persisting to understand the implementation role of each diagram element.
- Use Export when the flow continues beyond internal warehouse processing into downstream delivery scenarios.
Key takeaway
The Dataflow diagram section helps readers interpret AnalyticsCreator diagrams as end-to-end operational models, connecting each object type to its role in the data pipeline.
