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| 1 | +# Demostration: How to Configure Workspace App |
| 2 | + |
| 3 | +Costa Rica |
| 4 | + |
| 5 | +[](https://github.com/) |
| 6 | +[brown9804](https://github.com/brown9804) |
| 7 | + |
| 8 | +Last updated: 2025-02-03 |
| 9 | + |
| 10 | +------------------------------------------ |
| 11 | + |
| 12 | +> How to create a Power Bi Workspace App from the beginning and share it with external users. The same steps apply to security groups; simply replicate the process for a security group and add members to it. |
| 13 | +
|
| 14 | +1. Create your Fabric Capacity |
| 15 | + |
| 16 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/8f259cac-1dcb-4129-9070-0b31899c4ab4"> |
| 17 | + |
| 18 | +2. Go to [Fabric](https://app.fabric.microsoft.com/), and assign the capacity created to the workspace desired. |
| 19 | + |
| 20 | + <img width="248" alt="image" src="https://github.com/user-attachments/assets/f9847839-9827-4ba4-8ca8-0f71a6229acc"> <br/> |
| 21 | + |
| 22 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/a93b9b06-e887-45f2-a621-29ebab58f845"> <br/> |
| 23 | + |
| 24 | + > Select the `large semantic model only if your model exceeds 10 GB`. If not, use the small model. The large setup is for models up to 10 GB. |
| 25 | +
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| 26 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/0b540105-e554-4056-b06c-cd3babc873e9"> |
| 27 | + |
| 28 | +3. Create a lakehouse to store your data: |
| 29 | + |
| 30 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/07aa957b-48f0-4114-926a-d6004d96f93c"> |
| 31 | + |
| 32 | +4. Get your data, in this case a CSV file will be used |
| 33 | + |
| 34 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/d2949bee-f968-48d6-9c23-13984fde3311"> |
| 35 | + |
| 36 | +5. After uploading the information, create the tables or upload the information to your existing tables: |
| 37 | + |
| 38 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/664eeb04-7d09-4e7f-bd92-22e954ef689d"> |
| 39 | + |
| 40 | +6. Create a semantic model based on your tables: |
| 41 | + |
| 42 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/f892506e-46a5-42bd-ba2f-585601e5a7a1"> |
| 43 | + |
| 44 | +7. Now you are able to create a report based on the semantic model created, you can ask copilot to create a draft report with the `Auto-create report` option. |
| 45 | + |
| 46 | +> [!NOTE] |
| 47 | +> Make sure to activate the setting under `Admin Portal -> Tenant Settings -> Copilot/Data -> Enabled`. [Click here for more details](https://github.com/brown9804/MicrosoftCloudEssentialsHub/blob/main/0_Azure/2_AzureAnalytics/0_Fabric/demos/6_PBiCopilot.md#tenant-configuration) |
| 48 | +
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| 49 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/aa306dcc-0bbd-4fdb-bb5f-04ef79e9dfc8"> |
| 50 | + |
| 51 | + - You will see something like this: |
| 52 | + |
| 53 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/c3101f92-d6cf-4df0-aabd-c0e0951994eb"> |
| 54 | + |
| 55 | + <img width="955" alt="image" src="https://github.com/user-attachments/assets/99ec33b0-33c8-4fbc-93fb-8c8285ba5fae"> |
| 56 | + |
| 57 | + - You can leverage copilot to modify your report: |
| 58 | + |
| 59 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/1d46a462-252a-44bc-9d6b-420816878546"> |
| 60 | + |
| 61 | + - Once you are ready, save your report: |
| 62 | + |
| 63 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/0d663e5a-2a8f-4e74-83d9-21e6bc4801ad"> |
| 64 | + |
| 65 | + - At this point you will have your `lakehouse`, with your `SQL analytics endpoint`, the `semantic model` and `the report`. |
| 66 | + |
| 67 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/180304fa-2bd5-4de4-9ef1-b4e290ce2929"> |
| 68 | + |
| 69 | +8. A paginated report, can also be created: |
| 70 | + |
| 71 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/ccccd176-dd0e-48cc-b6b8-1a7bab1e0a90"> |
| 72 | + |
| 73 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/26ec846b-3527-4328-9af0-6e17c60a256c"> |
| 74 | + |
| 75 | +9. Create an App, and assign the required audience: |
| 76 | + |
| 77 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/c575a4e3-d7bd-4eb6-b61f-ee8345ec5c68"> |
| 78 | + |
| 79 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/c68d60de-801a-4d9c-98aa-a66d0cfa9dc6"> |
| 80 | + |
| 81 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/e2f45540-1b89-46bb-82a2-997c36bb5351"> |
| 82 | + |
| 83 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/057aa31e-7818-40f5-ac60-5f12425380c1"> |
| 84 | + |
| 85 | +> [!IMPORTANT] |
| 86 | +> If you encounter these errors, it's necessary to grant the appropriate `(semantic model, sql analytics endpoint, and the app` permissions for access. |
| 87 | +
|
| 88 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/7361815f-7a53-4ae7-80f9-5bd6e3033b59"> |
| 89 | + |
| 90 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/05fac487-647a-48c2-b2b9-d9f1f0b172ea"> |
| 91 | + |
| 92 | + - Let's say you want only `viewer` permissions: |
| 93 | + |
| 94 | + 1. Need to give access to the lakehouse/sql analytics endpoint: |
| 95 | + |
| 96 | + <img width="436" alt="image" src="https://github.com/user-attachments/assets/814f831f-19b8-4939-a3e2-618385c4827b"> |
| 97 | + |
| 98 | + > `Read All SQL Endpoint Data` permission allows users to access and read data from SQL endpoints within the Fabric environment. This permission is typically required for users who need to: <br/> |
| 99 | + > - Query Data: Execute SQL `queries against the data stored in the Fabric environment`. <br/> |
| 100 | + > - Access Reports: `View and interact with reports and dashboards that rely on SQL data sources`. <br/> |
| 101 | + > - Data Analysis: `Perform data analysis and generate insights` using SQL-based data. |
| 102 | +
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| 103 | + |
| 104 | + |
| 105 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/b87137f1-b464-43df-a04d-593a41b3131a"> |
| 106 | + |
| 107 | + 2. Make sure the person already have access to the semantic model: |
| 108 | + |
| 109 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/f5344f85-53f3-48dc-b0b1-6b3c5995bbd6"> |
| 110 | + |
| 111 | +> - Granting `Read, ReadData` access to the `semantic model, sql analytics endpoint` <br/> |
| 112 | +> - Grating `App audience` will enable the assigned identity to view it. |
| 113 | +
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| 114 | + <img width="550" alt="image" src="https://github.com/user-attachments/assets/353d88ad-a4a7-4aef-aff4-d584901c29d8"> |
| 115 | + |
| 116 | +<div align="center"> |
| 117 | + <h3 style="color: #4CAF50;">Total Visitors</h3> |
| 118 | + <img src="https://profile-counter.glitch.me/brown9804/count.svg" alt="Visitor Count" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/> |
| 119 | +</div> |
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