To work with Azure Synapse Analytics Data Point, follow below steps:

Step I: Create a New Data Point

Step II: Provide connection details

1. To connect to Azure Synapse Analytics database following details must be provided in the Properties tab.

  • Server Name: Specify the name of the server.
  • Port: Specify the port associated to the Azure Synapse Analytics system.
  • App User: Specify the user id that will be used to connect to the Azure Synapse Analytics system. This user should have necessary privileges to access the data in the databases.
  • Password: Specify the password for the App User. To use the project parameter for the password, check the Use Project Parameters option, and you can view and select the required Project Parameter from the Password drop-down. 
  • Always Encrypted: Enable this option to use SSL connectivity between Agent and Azure Synapse Analytics. Upon enabling this option, following fields are displayed on the screen. Provide details for this to use SSL in connectivity.
    • Key Store Providers: Select the type of encryption. It can be either Azure Key Vault or Java Key Store.
    • If you select Azure Key Vault, you must provide Client ID and Client Key.
    • If you select Java Key Store, you must provide Key Store Location and Key Store Password.
  • Jdbc Options: Specify the options that should be used along with JDBC URL to connect to Azure Synapse Analytics.
    For example, following details are provided in JDBC Options to connect to Azure Synapse Analytics: user=diyotta, password=****, db=TEST_DB.


  • Mandatory field names are suffixed with *. To establish the connection, provide all the mandatory property field values.
  • All the fields in the Properties tab can be parameterized using project parameters. To parameterize the fields, refer Working with Project Parameters.

2. Assign Agent: To assign or change the associated agent click ChangeThe Change Agent window appears and displays the list of available Agents. From the list, click on required Agent Name.

Note: To search for a specific agent, enter the keyword in the search bar, and the window displays the search result list. Select the required agent and click Ok.

  • If Default agent is assigned to the Project then automatically, the Default agent will be associated with the new Data point created.
  • If Default agent is not assigned to the Project then, no agent will be assigned automatically and appropriate agent needs to be assigned to the data point.
  • When connecting to the Agent server then, the agent installation user should have appropriate privilege to access the path where file will be placed.
  • When connecting to the remote server then, the firewall needs to be opened from the Agent server to it and user specified to connect should have appropriate privilege to access the path where file will be placed.

Step III: Test the data point connection

  • To validate that the data point is able to connect to the Azure Synapse Analytics data point database using the details provided, refer Test Data Point Connection. 

Step IV: Provide the database connection details

Manage the databases required to be accessed through the Databases tab. Multiple databases can be added here.

Note: To work with the application its mandatory to have at least one database connection, by default the Default database is associated with the new Data point created.

1. To add a new database, click Add(+).

  • The "Name" field is a friendly name that can be assigned to the database for easy identification. This friendly name is displayed when a database needs to be chosen from the data point and when the database association with other components is displayed.
  • Provide the physical name of the database in the "Database" field. When clicked on the entry in the "Database" field a drop-down appears with the list of databases in the system. As you enter the database keyword, the drop-down shows the specific database. The database name can either be selected from this drop-down list or you can manually enter.
  • Provide the physical name of the schema in the "Schema" field. The schema name must be manually provided.
  • To assign a schema to be used for creating temporary tables as part of processing the data (generally referred to as tform schema), select the checkbox under Transforms field.

  • The Transforms field is available only for those type of data points which are supported by Diyotta as data processing platform.
  • It is mandatory to assign a database as transform in the data point when, that data point needs to be assigned during the data flow creation and used as the processing platform.
  • To view the database drop-down, it is a prerequisite to test the connection. For more information, refer Test Data Point Connection.

  • To search for a specific database, enter the keyword in the search bar, and the page displays the related databases.


  • Following operations are allowed on the database entries: Add, Cut, Copy, Paste, Up, Down, Delete, and Search.
  • From the list of databases, multiple databases can be selected and we can perform/apply these operations.

Step V: Save the data point 


Step VI: Modify the configured Extract and Load properties 

When moving data from one system to another the data is extracted from the source system, moved over the network, and loaded into the target system. The SQLs and commands generated during execution of the jobs to extract and load data are generated based on the properties defined for these. The properties associated with the extraction and load of data should depend on the format, performance and variety of the data being moved. These properties vary based on the environment and the type of the system. Diyotta comes with default properties that covers most of the known scenarios. 

To modify these properties, refer Editing Extract Properties in Azure Synapse Data Point and Editing Load Properties in Azure Synapse Data Point.

  • The default values for extract and load properties can be configured in the Admin module and these properties reflect in the Studio module.
  • The extract and load properties set in data point are by default used in the source and target instance of the data flow and the job flows.
  • It is a good practice to set the extract and load properties as per the company standards in the data point.
  • However, if needed any specific property can be overridden in the data flow or job flow.