The Azure Synapse data object will always be associated to an Azure Synapse Data point. For details of creating Azure Synapse data point, refer Working with Azure Synapse Data Point.

To work with Azure Synapse Data Object, follow below steps:

Step I: Edit, create or import an Azure Synapse data object

It is recommended to create data object by importing the structure from the database object.

Step II: Configuring attributes

The Azure Synapse Data Object contains following fields. These fields can be edited by clicking on the field and inputting the required value. When importing the structure directly from the database these fields are auto-populated based on the column properties of the database object.

  • Attribute: Displays the name of the field as in the database object. This is a text field and name can be defined as needed. It is mandatory that the attribute names in data object exactly match the column names of the database object they are referring.
  • Data Type: Displays the data type associated with the field. This is a list of applicable data types. You can select appropriate type for the field.
  • Precision: Displays the precision for the varchar, number and decimal data type. This is a text field and name can be defined as per the data in the file.
  • Scale: Displays the scale for the number and decimal data type. This is a text field and name can be defined as per the data in the file.
  • Max: This allows you to utilize the maximum string length. When the Max checkbox is enabled, the Precision field value disappears/disabled because the length of the data type is defined to maximum. You can enable Max option only for VARCHAR, NVARCHAR, and VARBINARY data types.
  • Data Sensitivity: This is relevant when data object is used as a source instance. Specify if the attribute has sensitive information and the data in source system is masked. This is required to be specified when the datatype provided in the data object is only indicative of unmasked data and the target structure should map to the datatype for the masked data. You can map the data type of data sensitive attributes to a common data type in Diyotta Admin's data type mapping page. For more information, refer Editing Data Type Mapping  The drop down provides the category of sensitivity of the data. Below are the categories
    1. SPIRSH-Sensitive Personally Identifiable Information with a Real Risk of Significant Harm
    2. SPII-Sensitive Personally Identifiable Information
    3. PIIPD-Personally Identifiable Information in the public domain
    4. PII-Personally Identifiable Information
    5. PD-Personal Data
  • Not Null: Displays if the field can have NULL values. This is a checkbox and can be defined as per the data in the file. 
  • Key Type: Displays if the field is key field. This is a dropdown with values Primary Key and Foreign key. Select one of these if the field is one of these keys.
  • Description: Displays any details provided for the field. This is a text field and you can enter any details as need.


  • Following operations are allowed on the database entries: Add, Cut, Copy, Paste, Up, Down, Delete, and Search.
  • From the list of attributes, multiple attributes can be selected and we can perform/apply these operations.
  • To add a new attribute, click Add. By default a new attribute is populated in the last row. If you want to add an attribute at a specific position then, select the attribute in the position prior to it and click Add.
  • To search for a specific attribute, enter the keyword in the search bar, and the page displays the related attributes.

Step III: Configuring properties

The properties tab displays the object level details relevant to extract the data from file.

The grid displays following fields,



Default Value

Other possible values

Strict NamesTo enable case sensitivityNoYes
CDC EnabledEnable to implement CDC logicNoYes


  • To view specific property details, enter the keyword in the search bar, and the page displays the related properties.
  • If there are any special characters or spaces in table name or column names of Data Object then Strict name will be enabled post import. When data object is manually created and if column names or Data Object name has special character or space, then Strict name should be enabled.

Step IV: Save the changes

To save the changes made to the data object, refer Saving Data Object.


Viewing DDL:

DDL is generated based on the attributes and their properties in the Attributes tab.

Note: DDL is available only for database-based data objects, and for file-based data objects, the DDL is not available.

Upon enabling Max option in Attributes tab, after generating the DDL you can view the change for respective attributes i.e. COUNTRY is defined as varchar(max). 

Viewing sample Data:

Displays preview of data from the associated object in the database.

Following options are available in View Data tab:

  • By clicking Refresh, the data displayed is reloaded.
  • By clicking Export, the displayed records are exported and saved as excel to default download folder in the machine.

Note: To view, write, and run a SQL query on the Data Object, refer Working with SQL Editor.