In this article, we will explore how to populate data from an Azure SQL database into Azure Synapse Analytics using SQL Server Integration Services (SSIS). This use-case is particularly useful when analyzing large-scale transactional data hosted in Azure SQL Database using the distributed, parallel processing, OLAP-style engine of Azure Synapse Analytics with the dedicated SQL pool.
Pre-requisites
Before we can begin, there are a few pre-requisites that need to be in place:
- Source and destination repositories: The source repository will be the Azure SQL database with sample data, while the destination will be the Azure Synapse Analytics workspace with a dedicated SQL pool.
- SQL Server Data Tools: Ensure that you have SQL Server Data Tools installed on your development machine, as it provides the necessary templates for creating an SSIS package.
Developing the SSIS Package
Open Visual Studio and create a new SSIS project. Add a Data Flow Task to the package layout. This task will be responsible for populating the data from the source to the destination.
Configure the OLE DB Source control to connect to the Azure SQL Database. Specify the connection details and credentials to establish the connection. Select the database and table from which you want to populate the data.
Next, configure the OLE DB Destination control to connect to the SQL Dedicated pool table in Azure Synapse Analytics. Ensure that you have an existing table in the SQL pool to populate. Map the columns in the mappings page to ensure the data is correctly transferred.
Once the connections and mappings are configured, execute the package. After the execution completes, verify if the Azure Synapse SQL pool table was populated successfully.
Conclusion
In this article, we learned how to populate data from an Azure SQL Database into Azure Synapse Analytics using SQL Server Integration Services (SSIS). By following the steps outlined, you can easily transfer data from the source to the destination, enabling you to analyze large-scale transactional data using the powerful capabilities of Azure Synapse Analytics.