---
title: Azure Synapse - Deployment - 1.8
description: "Before deploying the Generated Artifacts, please: You should now have the Notebook files inside Azure Synapse Analytics ready for deployment. We will explain how to deploy the generated artifacts usin"
---

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# Azure Synapse - Deployment - 1.8

Before deploying the Generated Artifacts, please:

- [Generate the Artifacts](https://knowledge.bigenius-x.com/generate-artifacts?hsLang=en)
- [Download the generated Artifacts](https://knowledge.bigenius-x.com/download-generated-artifacts?hsLang=en)
- [Replace the placeholders in the Generated Artifacts](https://knowledge.bigenius-x.com/generators?hsLang=en#replace-placeholders)

You should now have the Notebook files inside Azure Synapse Analytics ready for deployment.

### Deploy the generated Artifacts

We will explain how to deploy the generated artifacts using the [target environment Azure Synapse](https://knowledge.bigenius-x.com/azure-synapse-target-environment?hsLang=en).

To deploy the generated **Artifacts**:

- Open **Azure Synapse Analytics** with the Workspace web URL provided in the Azure Synapse Workspace resource:  
  ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Oct-18-2023-09-08-01-4165-AM.png?width=688&height=210&name=image-png-Oct-18-2023-09-08-01-4165-AM.png)
- Azure Synapse Analytics is opened:  
  ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Oct-18-2023-09-08-52-4010-AM.png?width=688&height=197&name=image-png-Oct-18-2023-09-08-52-4010-AM.png)
- Click on the Develop menu on the left-hand-side:  
  ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Oct-18-2023-09-09-41-1227-AM.png?width=156&height=56&name=image-png-Oct-18-2023-09-09-41-1227-AM.png)
- Open the ***500\_Deploy\_and\_Load\_DataVault\_Synapse.ipynb*** file, which contains three steps:  
    1. *%run XXX\_Deployment.ipynb*: Deploy the code
    2. *%run XXX\_SimpleLoadExecution.ipynb*: Load the data in a single thread
    3. *%run XXXX\_MultiThreadingLoadExecution.ipynb*: Load the data with multiple threads
    4. *%run XXX\_SelectResults.ipynb*: Display the results
- Select the Apache Spark Pool (*bgaasspark33v2* in our example)  
  ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Oct-18-2023-02-05-34-4798-PM.png?width=688&height=67&name=image-png-Oct-18-2023-02-05-34-4798-PM.png)
- Execute **step 1  
  ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Sep-05-2024-02-54-34-6906-PM.png?width=688&height=217&name=image-png-Sep-05-2024-02-54-34-6906-PM.png)**

- The deployment is done: 
    - Open Azure Storage Explorer
    - You should have new folders, one by layer, created in your Target folder inside the Target Storage Account:  
      ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Sep-05-2024-03-43-45-7613-PM.png?width=688&height=349&name=image-png-Sep-05-2024-03-43-45-7613-PM.png)
    - Each layer folder contains one folder per Target Model Object, for example, for the stage layer:  
      ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Sep-05-2024-03-44-11-8946-PM.png?width=688&height=247&name=image-png-Sep-05-2024-03-44-11-8946-PM.png)
    - Each Target Model Object folder contains a folder delta\_log with the needed files to be able to load the date later:![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Sep-05-2024-03-44-51-0800-PM.png?width=688&height=216&name=image-png-Sep-05-2024-03-44-51-0800-PM.png)

You can now load the data with the following load controls:

- [Load the data with a native load control](https://knowledge.bigenius-x.com/generators?hsLang=en#load-data-with-a-native-load-control)

If you want to **start a new deployment**, please:

- Clear the Target Data Lake folder (*docu-datalake* in our example).
- If you want to change the Target Data Lake folder, please: 
    - Replace the placeholders with the new folder
    - Delete the existing databases because they are linked to the previous folder by executing the following code in a Notebook:

```
%%pysparkspark.sql("DROP DATABASE IF EXISTS stage CASCADE")
```

```
%%pysparkspark.sql("DROP DATABASE IF EXISTS rawvault CASCADE")
```

```
%%pysparkspark.sql("DROP DATABASE IF EXISTS businessvault CASCADE")
```

 

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