One of the most crucial steps when working with Marketing Cloud Intelligence Data Pipelines, is uploading data. Since MDP supports numerous types of data, you can choose from many different ways to upload it. During the upload stage, you can map your data to determine which fields appear in MDP and you can even create custom calculated fields to get the most out of your data. All these actions are done in the Import tab.
- MDP Create Data Streams
Whenever you upload data, data streams are created. These data streams can be referenced throughout the MDP platform, for example in pivot tables and reports. There are several methods available for creating data streams in Marketing Cloud Intelligence Data Pipelines. You can use an API connector to connect via API, TotalConnect to upload external files, or LiteConnect if you have data from a single source. You can choose which method is best for you. - Mapping Your Source Data in MDP
Mapping connects the source fields in your uploaded file to the corresponding Marketing Cloud Intelligence Data Pipelines fields. MDP uses machine learning algorithms to map your data. The mapping process is similar regardless of which method you use to upload your data, with some minor differences. If you’re using an API connector to upload your data, MDP automatically maps the fields for you, but you can make changes to the mapping. If you’re using TotalConnect, MDP identifies the most suitable data stream type according to your data and offers an initial mapping suggestion. - MDP Advanced Settings in Data Streams
Define advanced settings to your data stream to select load modes, load rules, or configure additional settings. The available settings vary based on the type of data stream that you’re creating. - Data Stream List
View, manage, and create data streams from the Data Stream List, in the Import tab.