Which data types does a Data Cloud Retriever focus on retrieving?

The focus of a Data Cloud Retriever is on structured, real-time data. This is because a Data Cloud Retriever is designed to efficiently gather and process data that is organized in a defined format and continuously updated. Structured data is typically stored in databases where it can be easily queried and analyzed in real-time, making it highly valuable for applications that require immediate insights and decision-making.

Real-time data retrieval is crucial for businesses that need to react promptly to changing conditions, maintain an accurate understanding of their operations, and provide timely responses to customer needs. This ability enhances operational efficiency, enabling organizations to drive performance improvements and better align with market demands.

While the other options refer to various types of data, they do not align with the primary purpose of a Data Cloud Retriever, which centers on structured real-time data retrieval for immediate usage and analysis.