Databricks - Load data - Native Load Control - 1.5

Before loading the data from your Source(s) System(s) to your Databricks Target System, please:

• Deploy the generated Artifacts

You are now ready to load the data.

There are two possibilities to load the data natively with Databricks:

• Sequentially on a single thread
• In parallel with a multi-thread approach

You can also load the data with an external tool as:

• Apache Airflow

Load the data

We will explain how to load the data using the possible target environment: Databricks.

To load the data:

• Open Databricks with the URL provided in the Azure Databricks Service resource:
  
• Databricks is opened:
  
• Click on the Workspace menu on the left-hand-side:
  
• Expand the folders Workspace > Users > Your_user > artifacts:
  
• Open the 500_Deploy_and_Load_DataVault_Databricks.ipynb file, which contains three steps:
  
  1. %run ./XXX_Deployment.ipynb: Deploy the code
  2. %run ./XXX_SimpleLoadExecution.ipynb: Load the data sequentially in a single thread
  3. %run ./XXX_MultithreadingLoadExecution: Load the data in parallel with a multi-thread approach
  4. %run ./XXX_SelectResults.ipynb: Display the results
• Select the Compute Cluster (Demo Cluster in our example)
  
• Execute (steps 2 or step 3), then step 4
• The data were loaded:
  • You should have the target Parquet files created for each Target Model Object, for example, for the Stage CreditCard:
    
  • Step 3 displayed a resume of the number of rows loaded for each Target Model  Object, for example:

You can now check that your data were correctly loaded with the following script:

%sql
select * from `rawvault`.`rdv_hub_creditcard_hub`;

And see the content of your Target Parquet file: