What is the method of data capture used by Spotlight for historical information?

The method of data capture used by Spotlight for historical information is Performance Analytics Snapshot. This approach involves taking periodic snapshots of data to capture key performance metrics over time. By using snapshots, organizations can track changes in performance and analyze trends, which is critical for understanding the historical context of the data.

Performance Analytics Snapshots are particularly useful because they consolidate relevant data at fixed intervals, allowing for efficient comparison and analysis. This method provides a clear historical view that can help in decision-making, forecasting, and identifying patterns in the organization's performance metrics.

In contrast, the other methods such as manual data entry, data streaming, and batch processing do not specifically target historical information capture in the same structured way that snapshots do. Manual data entry is prone to human error and does not allow for continuity in historical analysis. Data streaming is focused on real-time data ingestion rather than on capturing past states, and batch processing, while it can be useful for handling large amounts of data, does not inherently focus on capturing historical snapshots in a performance-focused context.