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DWC Business Builder (#6990)
* Automatic commit: Move 'data-warehouse-cloud-graphical1-model' from QA to Production * Automatic commit: Move 'data-warehouse-cloud-datapreparation-1-flatfiles', 'data-warehouse-cloud-datapreparation-2-monitor', 'data-warehouse-cloud-datapreparation-3-replication', 'data-warehouse-cloud-datapreparation-4-views' from QA to Production * Automatic commit: Move 'data-warehouse-cloud-businessbuilder1-overview', 'data-warehouse-cloud-businessbuilder2-dataset', 'data-warehouse-cloud-businessbuilder3-dimension', 'data-warehouse-cloud-businessbuilder4-factmodel', 'data-warehouse-cloud-businessbuilder5-consumption', 'data-warehouse-cloud-businessbuilder6-auth', 'data-warehouse-cloud-businessbuilder7-repo' from QA to Production * Automatic commit: Move 'data-warehouse-cloud-businessbuilder1-overview', 'data-warehouse-cloud-businessbuilder2-dataset', 'data-warehouse-cloud-businessbuilder3-dimension', 'data-warehouse-cloud-businessbuilder4-factmodel', 'data-warehouse-cloud-businessbuilder5-consumption', 'data-warehouse-cloud-businessbuilder6-auth', 'data-warehouse-cloud-businessbuilder7-repo' from QA to Production * Automatic commit: Move 'data-warehouse-cloud-businessbuilder1-overview', 'data-warehouse-cloud-businessbuilder2-dataset', 'data-warehouse-cloud-businessbuilder3-dimension', 'data-warehouse-cloud-businessbuilder4-factmodel', 'data-warehouse-cloud-businessbuilder5-consumption', 'data-warehouse-cloud-businessbuilder6-auth', 'data-warehouse-cloud-businessbuilder7-repo' from QA to Production
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tutorials/data-warehouse-cloud-businessbuilder1-overview/data-warehouse-cloud-businessbuilder1-overview.md

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**Business Entities: Analytical Datasets or Dimensions**
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A business entity is based on a view created in the data layer, and it represents an object, such as information about products or sales, including all the selected attributes and measures. In the Business Builder, you can create associations between facts and attributes coming from a view in the data layer. Business entities can be either an analytical dataset – which is a fact table with measures and foreign keys - or a dimension – which is tables containing only attributes.
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A business entity is based on a view created in the data layer, and it represents an object, such as information about products or sales, including all selected attributes and measures. In the Business Builder, you can create associations between facts and attributes coming from a view in the data layer. Business entities can be either an analytical dataset – which is a fact table with measures and foreign keys - or a dimension – which is tables containing only attributes.
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[Learn here more about facts and dimensions](https://blogs.sap.com/2021/07/22/facts-measures-and-dimensions/)
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tutorials/data-warehouse-cloud-businessbuilder2-dataset/data-warehouse-cloud-businessbuilder2-dataset.md

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<iframe width="560" height="315" src="https://www.youtube.com/embed/LNT7ciCJnpA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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In this tutorial, we will use an example dataset that contains information about sales. Please keep in mind that any data that will be used in the Business Builder needs to first be connected to or imported into SAP Data Warehouse Cloud before you can start creating business objects with the Business Builder.
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In this tutorial, you will see an example dataset that contains information about sales. Please keep in mind that any data that will be used in the Business Builder needs to first be connected to or imported into SAP Data Warehouse Cloud before you can start creating business objects with Business Builder.
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tutorials/data-warehouse-cloud-businessbuilder3-dimension/data-warehouse-cloud-businessbuilder3-dimension.md

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- How to preview your data and adjust the perspective
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In this tutorial, we will use an example dataset that contains information about sales. Please keep in mind that any data that will be used in the Business Builder needs to first be connected to or imported into SAP Data Warehouse Cloud before you can start creating business objects with the Business Builder.
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In this tutorial, you will see an example dataset that contains information about sales. Please keep in mind that any data that will be used in the Business Builder needs to first be connected to or imported into SAP Data Warehouse Cloud before you can start creating business objects with Business Builder.
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tutorials/data-warehouse-cloud-businessbuilder4-factmodel/data-warehouse-cloud-businessbuilder4-factmodel.md

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Fact models in the Business Builder of SAP Data Warehouse Cloud help you group analytical datasets and dimensions, so that it is easier to create a complete consumption model, and then visualize the data in SAP Analytics Cloud or equivalent.
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> It's not mandatory to create a fact model before creating a consumption model, but it can help you avoid re-work. For example, if you have 10 different analytical datasets that need to be used in several different consumption models, you can group them in a fact model, and then simply re-use this in every consumption model needed.
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> It is not mandatory to create a fact model before creating a consumption model, but it can help you avoid re-work. For example, if you have 10 different analytical datasets that need to be used in several different consumption models, you can group them in a fact model, and then simply re-use this in every consumption model needed.
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tutorials/data-warehouse-cloud-businessbuilder5-consumption/data-warehouse-cloud-businessbuilder5-consumption.md

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[ACCORDION-BEGIN [Step 2: ](Add business entities to the consumption model)]
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For your consumption model to have data in its output, you need to add add business entities to your consumption model, such as measures and attributes.
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For your consumption model to have data in its output, you need to add business entities to your consumption model, such as measures and attributes.
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1. On the main canvas of the consumption model, click on the plus icon under **Fact Sources** or **Dimension Sources** on the right sidebar.
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tutorials/data-warehouse-cloud-businessbuilder6-auth/data-warehouse-cloud-businessbuilder6-auth.md

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![Warning icon](T06 - Picture 01.png)
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This usually means that you don't have yet any data restrictions. If you click on the warning icon, you will be then taken to the Data Restrictions tab and see the full warning message.
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This usually means that you don't have yet any data restrictions. If you click on the warning icon, you will be then taken to Data Restrictions tab and see the full warning message.
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![Warning icon](T06 - Picture 02.png)
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tutorials/data-warehouse-cloud-businessbuilder7-repo/data-warehouse-cloud-businessbuilder7-repo.md

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![Search](T07 – Picture 01.png)
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To filter the list of objects, you can use the left sidebar options. This allows you to easily filter the objects based on the Space they are in. If you are a member of multiple Spaces, you will see the list of all Spaces available to you.
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To filter the list of objects, you can use the left sidebar options. This allows you to easily filter objects based on the Space they are in. If you are a member of multiple Spaces, you will see the list of all Spaces available to you.
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![Filter 1](T07 – Picture 02.png)
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