Which of the following is a data ingestion method used for multiple sources?

Data connectors are designed specifically to facilitate the ingestion of data from multiple sources into a centralized platform like Adobe Experience Platform. They offer seamless integration with various data sources, which can include third-party systems, cloud services, and other applications that manage customer data. By leveraging data connectors, organizations can automate the data ingestion process and ensure that the data is consistently formatted and updated, enabling more efficient workflows and analytics.

This method is particularly advantageous for businesses that have diverse data streams and require a straightforward way to consolidate that data into a single repository. Data connectors typically come with pre-built configurations or templates that simplify the process of connecting to and pulling data from different systems, making them a popular choice for data ingestion.

In contrast, options like FTP uploads, database imports, and API integrations each have their specific use cases and limitations. FTP uploads often require manual handling and are not as efficient for continuous data flow. Database imports can be more rigid and may not easily accommodate various data sources. API integrations, while powerful, often necessitate custom coding and may involve more complexity when dealing with multiple disparate sources. Thus, data connectors stand out as a comprehensive solution for ingesting data from a variety of origins effectively.