---
title: Fabric Warehouse - Stage
description: Fabric Warehouse - Stage generates a Stage layer for Fabric Warehouse as T-SQL notebooks with a notebook load control.
---

[Skip to content](https://knowledge.bigenius-x.com/fabric-warehouse-stage#main-content)

[Contact us](https://knowledge.bigenius-x.com/kb-tickets/new?hsLang=en) [Go to Customer Portal](https://knowledge.bigenius-x.com/customer-portal?hsLang=en)

[![TRI\_Logo\_biGENIUS\_2020\_RGB\_s](https://knowledge.bigenius-x.com/hs-fs/hubfs/Marketing/TRI_Logo_biGENIUS_2020_RGB_s.png?width=150&height=42&name=TRI_Logo_biGENIUS_2020_RGB_s.png)](https://www.bigenius-x.com/)

Open main navigation

Close main navigation

- [Contact us](https://knowledge.bigenius-x.com/kb-tickets/new)
- [Go to Customer Portal](https://knowledge.bigenius-x.com/customer-portal)

 How can we help you?

- There are no suggestions because the search field is empty.

1. [biGENIUS-X Knowledge Base](https://knowledge.bigenius-x.com/?hsLang=en)
2. [Generators](https://knowledge.bigenius-x.com/generators?hsLang=en)
3. [Fabric Warehouse](https://knowledge.bigenius-x.com/generators?hsLang=en#fabric-warehouse)

# Fabric Warehouse - Stage

**Applies to**  
Platform: Fabric Warehouse  
Architecture: Stage

Fabric Warehouse - Stage generates a Stage layer for Fabric Warehouse as T-SQL notebooks with a notebook load control. Select the Generator Configuration `Fabric Warehouse Stage` when you add a project whose Stage runs in a Fabric Warehouse. This article lists what the configuration supports and where it differs from [Microsoft SQL Server - Stage](https://knowledge.bigenius-x.com/microsoft-sql-server-stage?hsLang=en).

The configuration offers no linked project import. Other projects can use its Stage as a linked project, for example [Fabric Warehouse - Data Store](https://knowledge.bigenius-x.com/fabric-warehouse-data-store?hsLang=en) or [Fabric Warehouse - DataVault](https://knowledge.bigenius-x.com/fabric-warehouse-datavault?hsLang=en).

### Scope and output

- Platform: Microsoft Fabric Warehouse. The configuration is available since Generator 2.0.
- Layers: Source and Stage. Dataflow Modeling shows Stage in the Bronze column. See [Understand the Layering concept](https://knowledge.bigenius-x.com/understand-the-layering-concept?hsLang=en).
- Output: T-SQL deployment notebooks, a deployment pipeline definition and Python load control notebooks, described in [Fabric Warehouse - Artifacts](https://knowledge.bigenius-x.com/fabric-warehouse-artifacts?hsLang=en).

### Prerequisites

- A Fabric workspace with a warehouse for the Stage layer. The deployment notebooks switch to the existing warehouse with `USE` and create a missing schema; they create no warehouse.
- A lakehouse for the load control execution log. The load control deployment notebook creates the log as a Delta table there.
- An Azure Key Vault with the tenant ID, client ID and client secret of a service principal. The load control notebook uses them to connect to the warehouse.

A setup example is in [Fabric Warehouse - Target environment](https://knowledge.bigenius-x.com/fabric-warehouse-target-environment?hsLang=en). The placeholders for the warehouse, schema, lakehouse, Key Vault and secret names are listed in [Fabric Warehouse - Placeholder values](https://knowledge.bigenius-x.com/fabric-warehouse-placeholder-values?hsLang=en).

### Sources and linked projects

Stage source views read each source table by its three-part name `[<database>].[<schema>].[<table>]`. The source system has the type `Microsoft Fabric Warehouse`, and its database and schema names are placeholders that you fill in when you replace the placeholders. The supported discovery types are listed in [Source Systems per Generator Configurations](https://knowledge.bigenius-x.com/source-systems-per-generator-configurations?hsLang=en).

You can [export this project as a linked project](https://knowledge.bigenius-x.com/export-a-project-to-be-used-as-linked-project?hsLang=en).

### Supported model objects

- [Source](https://knowledge.bigenius-x.com/create-a-source?hsLang=en)
- [Stage](https://knowledge.bigenius-x.com/create-a-stage?hsLang=en)

The Stage offers these model object properties:

- [Implementation Type](https://knowledge.bigenius-x.com/implementation-type-model-object?hsLang=en): `Cached` (default) or `Virtual`
- Increment Management Type: `Auto` (default) or `User`, see [Configure an incremental load](https://knowledge.bigenius-x.com/configure-an-incremental-load?hsLang=en)

### Capabilities and limitations

- Keys: a Stage table has no primary key. The helper table of an incremental Stage has a primary key on `BG_ID`, created as `NONCLUSTERED` and `NOT ENFORCED`.
- Indexes: index management is not available, and the generated tables have no indexes.
- Deployment: a deployment notebook holds at most the number of objects set in [Notebook Deployment Objects Limit](https://knowledge.bigenius-x.com/notebook-deployment-objects-limit-project?hsLang=en); further objects go to the next notebook. The pipeline definition runs the load control deployment first, then the deployment notebooks in order. See [Fabric Warehouse - Deployment](https://knowledge.bigenius-x.com/fabric-warehouse-deployment?hsLang=en).
- Loading: [LoadControl Options](https://knowledge.bigenius-x.com/loadcontrol-options-project?hsLang=en) offers only `Multi-Threading Notebook`, a Python notebook that runs the loaders in dependency order. See [Fabric Warehouse - Load data - Native Load Control](https://knowledge.bigenius-x.com/fabric-warehouse-load-data-native-load-control?hsLang=en).
- Data types: validation reports warning `ID-35000` when the length, precision or scale of a term does not fit its Fabric Warehouse data type. Warning `ID-35001` flags a business key term of type `varchar(max)` or `varbinary(max)`, because constraints on it could block the deployment.

### Project properties

The configuration offers these project properties, with their defaults. It has no Hash Algorithm and no End of Universe.

- [Hash Casing](https://knowledge.bigenius-x.com/hash-casing-project?hsLang=en): `None`; also `Upper` and `Lower`
- [Hash Concatenation Separator](https://knowledge.bigenius-x.com/hash-concatenation-separator-project?hsLang=en): `_`
- [Hash Null Placeholder](https://knowledge.bigenius-x.com/hash-null-placeholder-project?hsLang=en): `_NULL_`
- [Hash Trim](https://knowledge.bigenius-x.com/hash-trim-project?hsLang=en): off
- [Begin of Universe](https://knowledge.bigenius-x.com/begin-of-universe-project?hsLang=en): `19000101`
- [Persist Validity](https://knowledge.bigenius-x.com/persist-validity-project?hsLang=en): on
- [Create Result Views](https://knowledge.bigenius-x.com/create-result-views-project?hsLang=en): on
- [Configure LoadControl](https://knowledge.bigenius-x.com/configure-loadcontrol-project?hsLang=en): on
- [Deploy LoadControl](https://knowledge.bigenius-x.com/deploy-loadcontrol-project?hsLang=en): on
- [LoadControl Options](https://knowledge.bigenius-x.com/loadcontrol-options-project?hsLang=en): `Multi-Threading Notebook`
- [Notebook Deployment Objects Limit](https://knowledge.bigenius-x.com/notebook-deployment-objects-limit-project?hsLang=en): `100`
- [Deployment Options](https://knowledge.bigenius-x.com/deployment-options-project?hsLang=en): `Generate Drop Table Statements`

Hash Casing, Hash Concatenation Separator, Hash Null Placeholder, Hash Trim and Persist Validity have no effect on Stage objects.

### Platform differences

The table compares the configuration with Microsoft SQL Server - Stage of the same release:

| Item | Fabric Warehouse | Microsoft SQL Server |
| --- | --- | --- |
| Timestamp Default Terms | `datetime2(6)` | `datetimeoffset` |
| Text Default Terms | `varchar` | `nvarchar` |
| Persist Validity default | on | off |
| Index management | not available | available |
| Artifact Output Mode | not available | available |
| Target Object Comment Type | not available | available |

LoadControl Options offers `Multi-Threading Notebook` on Fabric Warehouse and `Native Load Control` or `Airflow` on Microsoft SQL Server. Notebook Deployment Objects Limit exists only on Fabric Warehouse.

These Default Terms belong to each group:

- Timestamps: `BG_LoadTimestamp`, `BG_UpdateTimestamp`, `BG_ValidFromTimestamp`, `BG_ValidToTimestamp`, `BG_EffectiveTimestamp`
- Text, same lengths on both platforms: `BG_SourceSystem`, `BG_DataflowName`, `BG_DataflowSetName`, `BG_ErrorDescription`, `BG_IncrementLoadStatus`

### Example

A Stage `bdc_customer` reads the source table `bdc_customer`. It generates this table. The excerpt shows the example schema `stage` in place of the placeholder:

```
CREATE TABLE [stage].[STG_ST_bdc_customer] (
     [BG_LoadTimestamp] DATETIME2(6) NOT NULL
    ,[BG_SourceSystem] VARCHAR(255) NULL
    ,[BDC_SHOP_ID] VARCHAR(10) NOT NULL
    ,[BDC_CUSTOMER_ID] VARCHAR(10) NOT NULL
    ,[FIRST_NAME] VARCHAR(50) NULL
    ,[LAST_NAME] VARCHAR(50) NULL
    ,[DATE_OF_BIRTH] DATE NULL
    ,[LOCATION] VARCHAR(100) NULL
)
;
```

The table has no primary key. Its source view `STG_ST_bdc_customer_Source` reads the source table by three-part name, here with the example warehouse `warehouse` and the example schema `Sales`:

```
FROM [warehouse].[Sales].[bdc_customer] AS [s1]
```

With Microsoft SQL Server - Stage, the two Default Terms of this table get the types `datetimeoffset` and `nvarchar(255)`.

### Release differences

Project Settings shows the Generator Version of your project.

- Generator 2.0: first release of the configuration.
- Generator 2.2: the project properties Persist Validity, Create Result Views, Hash Casing, Hash Concatenation Separator, Hash Null Placeholder and Hash Trim; the model object property Increment Management Type; the validation warnings `ID-35000` and `ID-35001`.

### Related articles

- Previous: 
    - Fabric Warehouse: [Target environment](https://knowledge.bigenius-x.com/fabric-warehouse-target-environment?hsLang=en)
- Next: [Generate artifacts](https://knowledge.bigenius-x.com/generate-artifacts?hsLang=en), [Replace the placeholders in the artifacts](https://knowledge.bigenius-x.com/replace-the-placeholders-in-the-artifacts?hsLang=en) 
    - Fabric Warehouse: [Artifacts](https://knowledge.bigenius-x.com/fabric-warehouse-artifacts?hsLang=en), [Deployment](https://knowledge.bigenius-x.com/fabric-warehouse-deployment?hsLang=en), [Load data - Native Load Control](https://knowledge.bigenius-x.com/fabric-warehouse-load-data-native-load-control?hsLang=en)
- Reference: [Implementation Type (Model Object)](https://knowledge.bigenius-x.com/implementation-type-model-object?hsLang=en), [LoadControl Options (Project)](https://knowledge.bigenius-x.com/loadcontrol-options-project?hsLang=en), [Notebook Deployment Objects Limit (Project)](https://knowledge.bigenius-x.com/notebook-deployment-objects-limit-project?hsLang=en), [Deployment Options (Project)](https://knowledge.bigenius-x.com/deployment-options-project?hsLang=en) 
    - Fabric Warehouse: [Placeholder values](https://knowledge.bigenius-x.com/fabric-warehouse-placeholder-values?hsLang=en)
- See also: [Available Generator Configurations](https://knowledge.bigenius-x.com/available-generator-configurations?hsLang=en), [Understand the Generator Configuration](https://knowledge.bigenius-x.com/understand-the-generator-configuration?hsLang=en), [Source Systems per Generator Configurations](https://knowledge.bigenius-x.com/source-systems-per-generator-configurations?hsLang=en), [Use Linked Projects](https://knowledge.bigenius-x.com/use-linked-projects?hsLang=en), [Microsoft SQL Server - Stage](https://knowledge.bigenius-x.com/microsoft-sql-server-stage?hsLang=en) 
    - Fabric Warehouse: [Data Store](https://knowledge.bigenius-x.com/fabric-warehouse-data-store?hsLang=en), [DataVault](https://knowledge.bigenius-x.com/fabric-warehouse-datavault?hsLang=en), [Dimensional](https://knowledge.bigenius-x.com/fabric-warehouse-dimensional?hsLang=en)

- [Getting started](https://knowledge.bigenius-x.com/getting-started?hsLang=en#main-content)

    - [Guidelines](https://knowledge.bigenius-x.com/getting-started?hsLang=en#guidelines)
    - [Start working](https://knowledge.bigenius-x.com/getting-started?hsLang=en#start-working)
    - [Account](https://knowledge.bigenius-x.com/getting-started?hsLang=en#account)
- [General overview](https://knowledge.bigenius-x.com/general-overview?hsLang=en)
- [Artificial Intelligence](https://knowledge.bigenius-x.com/artificial-intelligence?hsLang=en)
- [Application Modules](https://knowledge.bigenius-x.com/application-modules?hsLang=en#main-content)

    - [Administration](https://knowledge.bigenius-x.com/application-modules?hsLang=en#administration)
    - [Solutions](https://knowledge.bigenius-x.com/application-modules?hsLang=en#solutions)
    - [Global Features](https://knowledge.bigenius-x.com/application-modules?hsLang=en#global-features)
    - [Projects](https://knowledge.bigenius-x.com/application-modules?hsLang=en#projects)
    - [Branches](https://knowledge.bigenius-x.com/application-modules?hsLang=en#branches)
    - [Data Connections](https://knowledge.bigenius-x.com/application-modules?hsLang=en#data-connections)
    - [Dataflow Modeling - Overview](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-overview)
    - [Dataflow Modeling - Wizard Steps](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-wizard-steps)
    - [Dataflow Modeling - Terms](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-terms)
    - [Dataflow Modeling - Term Mapping](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-term-mapping)
    - [Dataflow Modeling - Relationships](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-relationships)
    - [Dataflow Modeling - Data Quality](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-data-quality)
    - [Dataflow Modeling - Indexes](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-indexes)
    - [Relationship Modeling](https://knowledge.bigenius-x.com/application-modules?hsLang=en#relationship-modeling)
    - [Generate Artifacts](https://knowledge.bigenius-x.com/application-modules?hsLang=en#generate-artifacts)
    - [Project Settings](https://knowledge.bigenius-x.com/application-modules?hsLang=en#project-settings)
    - [Data Marketplace](https://knowledge.bigenius-x.com/application-modules?hsLang=en#data-marketplace)
- [Generators](https://knowledge.bigenius-x.com/generators?hsLang=en#main-content)

    - [Fabric Warehouse](https://knowledge.bigenius-x.com/generators?hsLang=en#fabric-warehouse)
    - [Fabric Lakehouse](https://knowledge.bigenius-x.com/generators?hsLang=en#fabric-lakehouse)
    - [Databricks](https://knowledge.bigenius-x.com/generators?hsLang=en#databricks)
    - [Snowflake](https://knowledge.bigenius-x.com/generators?hsLang=en#snowflake)
    - [Microsoft SQL Server](https://knowledge.bigenius-x.com/generators?hsLang=en#microsoft-sql-server)
    - [Oracle](https://knowledge.bigenius-x.com/generators?hsLang=en#oracle)
    - [Artifacts](https://knowledge.bigenius-x.com/generators?hsLang=en#artifacts)
    - [Replace Placeholders](https://knowledge.bigenius-x.com/generators?hsLang=en#replace-placeholders)
    - [Target solution environment](https://knowledge.bigenius-x.com/generators?hsLang=en#target-solution-environment)
    - [Deployment](https://knowledge.bigenius-x.com/generators?hsLang=en#deployment)
    - [Deployment with an Azuze DevOps pipeline](https://knowledge.bigenius-x.com/generators?hsLang=en#deployment-with-an-azuze-devops-pipeline)
    - [Delta Deployment](https://knowledge.bigenius-x.com/generators?hsLang=en#delta-deployment)
    - [Load control environment](https://knowledge.bigenius-x.com/generators?hsLang=en#load-control-environment)
    - [Load data with a native load control](https://knowledge.bigenius-x.com/generators?hsLang=en#load-data-with-a-native-load-control)
    - [Load data with Apache Airflow](https://knowledge.bigenius-x.com/generators?hsLang=en#load-data-with-apache-airflow)
    - [Model Object Type](https://knowledge.bigenius-x.com/generators?hsLang=en#model-object-type)
    - [Properties](https://knowledge.bigenius-x.com/generators?hsLang=en#properties)
    - [Default Terms](https://knowledge.bigenius-x.com/generators?hsLang=en#default-terms)
- [Discovery application](https://knowledge.bigenius-x.com/discovery-application?hsLang=en#main-content)

    - [Discovery configurations](https://knowledge.bigenius-x.com/discovery-application?hsLang=en#discovery-configurations)
- [Best practices](https://knowledge.bigenius-x.com/best-practices?hsLang=en#main-content)

    - [Modeling Approaches](https://knowledge.bigenius-x.com/best-practices?hsLang=en#modeling-approaches)
    - [Use Cases](https://knowledge.bigenius-x.com/best-practices?hsLang=en#use-cases)
    - [Business Rules](https://knowledge.bigenius-x.com/best-practices?hsLang=en#business-rules)
    - [Data Quality Rules](https://knowledge.bigenius-x.com/best-practices?hsLang=en#data-quality-rules)
- [FAQs](https://knowledge.bigenius-x.com/faqs?hsLang=en)
- [Product Release Notes](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#main-content)

    - [SaaS Application](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#saas-application)
    - [Discovery application](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#discovery-application)
    - [Generators](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#generators)
- [Legal Documents](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#main-content)

    - [Current legal docs](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#current-legal-docs)
    - [Software Product and Limits](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#software-product-and-limits)

- [Contact us](https://knowledge.bigenius-x.com/kb-tickets/new?hsLang=en)
- [Customer Portal](https://knowledge.bigenius-x.com/customer-portal)
- [Sign in](https://knowledge.bigenius-x.com/_hcms/mem/login)

[![biGENIUS logo](https://knowledge.bigenius-x.com/hubfs/TRI_Logo_biGENIUS_2020_RGB-1.svg "biGENIUS logo")](https://www.bigenius-x.com)

<https://www.linkedin.com/company/bigenius> <https://www.youtube.com/@biGENIUS_DWA>

All rights reserved © 2025, biGENIUS AG