What type of data can DataRaptors handle?

What type of data can DataRaptors handle?

• A. Only Salesforce data
• B. Only external data
• C. Both Salesforce and external data
• D. Only real-time streaming data

Answer: (C)

DataRaptors in Vlocity (now Salesforce Industries) are designed to efficiently handle both Salesforce and external data sources. They are versatile data extraction tools that can process information from Salesforce objects, allowing users to retrieve, transform, and manipulate Salesforce data. Additionally, DataRaptors can also integrate with external APIs or data sources, enabling them to pull in data from outside the Salesforce ecosystem. This capability to manage both types of data makes DataRaptors quite powerful, as they can serve as a bridge for applications requiring information from multiple origins. In scenarios where businesses need to provide a unified experience by incorporating both internal data from Salesforce and external information, DataRaptors can seamlessly aggregate and handle these diverse data types in various configurations to meet specific application needs. The other choices are too limiting in scope. For instance, the options that mention only Salesforce data or only external data fail to recognize the breadth of functionality that DataRaptors provide by accommodating both sources. Likewise, the mention of only real-time streaming data does not reflect the full capability of DataRaptors, which are not restricted to real-time data but can also process batch data efficiently. Thus, the ability to work with both Salesforce data and external data is what makes this option the correct choice.

DataRaptors in Vlocity (now Salesforce Industries) are designed to efficiently handle both Salesforce and external data sources. They are versatile data extraction tools that can process information from Salesforce objects, allowing users to retrieve, transform, and manipulate Salesforce data. Additionally, DataRaptors can also integrate with external APIs or data sources, enabling them to pull in data from outside the Salesforce ecosystem.

This capability to manage both types of data makes DataRaptors quite powerful, as they can serve as a bridge for applications requiring information from multiple origins. In scenarios where businesses need to provide a unified experience by incorporating both internal data from Salesforce and external information, DataRaptors can seamlessly aggregate and handle these diverse data types in various configurations to meet specific application needs.

The other choices are too limiting in scope. For instance, the options that mention only Salesforce data or only external data fail to recognize the breadth of functionality that DataRaptors provide by accommodating both sources. Likewise, the mention of only real-time streaming data does not reflect the full capability of DataRaptors, which are not restricted to real-time data but can also process batch data efficiently. Thus, the ability to work with both Salesforce data and external data is what makes this option the correct choice.