LN Analytics spaces
This diagram shows shows the networked BI architecture of the spaces for Infor LN Analytics for Birst:
Note: For display purposes, some model spaces are
not included in the diagram.
These Birst spaces are delivered with the LN Analytics:
- LN-Consumer
- This space handles reports and dashboards.
- LN-Extraction
- This space handles the extraction of records from Data Lake. There are no business logic transformations in this space. If an extraction report is made available in the Consumer space, there is also a link between the Extraction space and the Consumer space.
- LN-ConformedDimension
- This space handles dimensions that are used across domains, including localization of enumerates and multi data language enabled fields (mle). After transforming the data from the LN-Extraction space, the conformed dimensions are loaded into the data warehouse.
- LN-Model-Extensibility
- This space handles adding custom attributes to specific Infor-delivered dimensions without breaking the data warehouse model. The LN-Model-Extensibility space is not included in the diagram and is described in more detail in Extending content.
- LN-Model-Finance
- This space handles finance-specific dimensions and finance facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Finance space.
- LN-Model-Job Shop
- This space handles job shop-specific dimensions and job shop facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Job Shop space.
- LN-Model-Procurement
- This space handles procurement-specific dimensions and procurement facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Procurement space.
- LN-Model-Project
- This space handles project-specific dimensions and project facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Project space.
- LN-Model-Quality
- This space handles quality-specific dimensions and quality facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Quality space.
- LN-Model-Sales
- This space handles sales-specific dimensions and sales facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Sales space.
- LN-Model-Service
- This space handles service-specific dimensions and service facts. The dimensions and facts are loaded in the data warehouse after transformation of the data from the LN-Extraction space. Conformed dimensions are also used in the Service space.