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Platform Data Extension API Developer's Guide Version 1.6.2Platform Data Extension API Developer's Guide NoticesImportant InformationNotices Topics: Legal NoticesDocument InformationThis section contains
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01
To fill out the platform data extension API, follow these steps:
02
Obtain the necessary credentials and API key from the platform provider.
03
Identify the data fields required to be filled out in the API.
04
Use an API client or programming language (e.g., Python, Java) to send HTTP requests to the platform API endpoint.
05
Authenticate the API request using the credentials and API key obtained earlier.
06
Format the data to be sent in the request payload according to the platform's API documentation.
07
Make an HTTP POST request to the platform API endpoint with the appropriate headers and payload.
08
Handle any errors or response codes returned by the API.
09
Verify the success of the data submission by checking the response from the platform API.

Who needs platform data extension api?

01
The platform data extension API is typically needed by developers, software engineers, or system administrators who want to integrate their applications or systems with a specific platform. This API allows them to programmatically access and manipulate data in the platform's database through a standardized interface. It is specifically useful for applications that need to interact with the platform's data and perform actions such as data retrieval, insertion, deletion, or updates programmatically.
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Platform Data Extension API is a tool that allows developers to extend and customize the platform data model.
Developers and administrators who need to modify the data model of the platform.
The platform data extension api can be filled out using the provided API documentation and following the specified guidelines.
The purpose of the platform data extension api is to extend and customize the platform data model to better suit the needs of the business or organization.
The information reported on platform data extension api includes the modifications made to the data model, the reasons for those modifications, and any potential impact on existing data and processes.
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