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

Search

Search is a dataflow diagram feature used to quickly locate objects by entering keywords or phrases in the search bar.

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.

Object groups

Object groups are used to organize objects such as sources, tables, and transformations into reusable groups.

Layers

A layer is a logical architectural slice used to group metadata objects and define their build order and visibility in the model.

Source

In AnalyticsCreator, a source is a metadata object that describes external data.

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.

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.

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.

Import

Shows how import objects appear in the dataflow diagram and how they bring source data into the warehouse pipeline.

Historization

A historization is a metadata object used to track changes of a table or transformation over time in the data warehouse model.

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.

Export

Shows how export objects appear in the dataflow diagram and how they deliver modeled data to downstream targets.

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.