Entity types

Entity types define the structural categories used by AnalyticsCreator to classify connectors, sources, tables, transformations, packages, scripts, schemas, and historization behavior.

Use this section when you need to understand which type controls a modeling object, execution unit, or generated warehouse structure.

Entity type groups

Connector types

Define how AnalyticsCreator connects to source systems and external data providers.

Database connectors
File and cloud storage connectors
Service and enterprise system connectors

Open Connector types

Join historization types

Define how joins behave when historized data and validity periods are involved.

Current-state joins
Full historical joins
Valid-from and valid-to alignment

Open Join historization types

Package types

Define the execution units used for loading, historization, persisting, workflows, scripts, exports, and external processing.

Import and workflow packages
Historization and persisting packages
Script, export, and external packages

Open Package types

Schema types

Define the warehouse layers used to organize staging, transformation, core, and reporting-ready structures.

Staging and persisted staging
Transformation and core layers
Datamart layer

Open Schema types

Source types

Define how source objects are read and how source data enters the loading process.

Table and view sources
Query-based sources
SAP source patterns

Open Source types

SQL script types

Define when custom SQL logic runs during creation, workflow execution, deployment, or repository extension.

Pre and post creation
Pre and post workflow
Pre and post deployment

Open SQL script types

Table types

Define the role a table plays in staging, historization, persistence, dimensional modeling, or Data Vault modeling.

Import and historized tables
Dimension and fact tables
Data Vault hubs, links, and satellites

Open Table types

Transformation historization types

Transformation historization types define how a transformation handles time-dependent data and historical states.

Open Transformation historization types

Transformation types

Define how transformation logic is generated, maintained, or executed.

Generated transformations
Manual and script-based logic
Datamart and union transformations

Open Transformation types

How to use this section

Use Connector types and Source types when working with source system integration
Use Table types, Schema types, and Transformation types when designing warehouse structures
Use Join historization types when historized data must be joined with validity-aware behavior
Use Package types and SQL script types when reviewing execution and lifecycle behavior

Key takeaway

Entity types provide the classification model behind AnalyticsCreator objects and execution behavior, helping you understand how each object is created, organized, processed, and used in the generated data warehouse.