Azure Synapse - Load data - 1.5

Before loading the data from your Source(s) System(s) to Azure Synapse, please:

• Deploy the generated Artifacts

You are now ready to load the data.

There are two possibilities to load the data natively with Azure Synapse:

• 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
• Azure Data Factory

Load the data

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

To load the data:

• Open Azure Synapse Analytics with the Workspace web URL provided in the Azure Synapse Workspace resource:
  
• Azure Synapse Analytics is opened:
  
• Click on the Develop menu on the left-hand-side:
  
• Open the 500_Deploy_and_Load_DataVault_Synapse.ipynb file, which contains three steps:
  
  1. %run XXX_Deployment: Deploy the code
  2. %run XXX_SimpleLoadExecution: 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: Display the results
• Select the Apache Spark Pool (bgaasspark33v2 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:

--Create a new step with the following code:
mydf = spark.sql("select * from `rawvault`.`rdv_hub_creditcard_hub`")
mydf.show(truncate = False)

And see the content of your Target Parquet file: