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Connect Fabric and Power BI through shared definitions.
AnalyticsCreator connects data structures, transformations and semantic models in one governed project. Business definitions and implementation logic remain connected as your Fabric and Power BI solution develops.
Shared meaning. Connected changes. Native Microsoft assets.
Design with intent. Generate owned artefacts. Deploy with control.
AnalyticsCreator gives data teams a metadata-driven design application to define and import metadata, model target structures, generate implementation artifacts, and see lineage and change impact before deployment across SQL Server, Azure, Microsoft Fabric and Power BI.
Built for technical buyers who need faster delivery, visible lineage, and controlled change across the Microsoft data estate.
Keep engineering and analytics connected by design.
A shared project connects the definitions behind analytical models with the structures and transformations that support them.
AnalyticsCreator's intelligent wizards support the development of project-specific data and semantic models. The corresponding code evolves with the model and remains visible during development.
This connected foundation reduces the need to reconstruct business meaning separately across pipelines, warehouse structures and semantic models.
Preserve business meaning from source to Power BI.
Measures, relationships, hierarchies and business definitions remain connected to the underlying data structures and transformations within the governed model.
Project lineage makes those connections visible, providing context for understanding how analytical outputs are constructed and how the implementation represents the business definitions.
Keep semantic changes connected to their dependencies.
After source metadata is refreshed, AnalyticsCreator automatically shows affected places in the lineage for new or changed source fields.
Business-rule and semantic changes are developed within the project model. Connected relationships and transformation logic provide context for assessing the revised design before preparing updated native assets.
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Develop the connected project. Prepare native assets.
Outputs depend on the selected architecture, target environment and project settings.
- Microsoft Fabric
- Supported pipelines and warehouse assets.
- Power BI and Tabular
- Semantic models based on the connected project definitions.
- Azure Data Factory
- Pipelines for the selected Azure implementation.
- SQL Server
- Database structures and code, including on-premises SQL Server.
- Project artefacts
- Documentation, lineage and deployment packages.
Run in Microsoft. Retain the connected design.
Generated assets run in the selected Microsoft environment without an AnalyticsCreator production runtime. The customer, a service partner or a shared team can manage operation under the agreed responsibilities.
AnalyticsCreator retains the models, implementation code and project knowledge for continued development and change.
Fabric and Power BI development: common questions
How does AnalyticsCreator connect data engineering and semantic modelling?
Business definitions, data structures, relationships, transformations and semantic models remain connected in one project. The corresponding implementation code evolves during modelling, preserving the relationship between design decisions and technical implementation.
What can AnalyticsCreator generate for Fabric and Power BI?
AnalyticsCreator generates supported Microsoft Fabric pipelines and warehouse assets, Power BI semantic models and Tabular models. It also supports Azure Data Factory pipelines, SQL Server implementation, documentation and deployment packages. Outputs depend on the project configuration and selected targets.
What happens when a source field changes?
After source metadata is refreshed, AnalyticsCreator automatically shows affected places in the lineage for new or changed source fields. The connected dependencies provide context for assessing the required model and implementation changes.
How are changes validated?
AnalyticsCreator’s integrated testing feature executes validations, compares results with expected outcomes and records differences in test reports. Regression testing helps identify unintended effects after model or transformation changes.
Do the generated assets require AnalyticsCreator to keep running?
No. Generated assets run in their target environment without an AnalyticsCreator production runtime. AnalyticsCreator remains the development application for maintaining the connected project and preparing further changes.
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