With Reference Tables in Datadog, users can import and enrich their logs, events, and other telemetry data by adding business-critical information from various sources such as CSV files, cloud storage, or SaaS integrations. This enables faster troubleshooting, more efficient business processes, and lower costs by providing meaningful context to the data. Reference Tables allow users to define new entities like customer details, service names, and IP addresses, which can be used across various business, application, and security use cases. By enriching logs with dynamic metadata, users can correlate and analyze data in real-time, making it easier to identify security threats, troubleshoot performance issues, and optimize cloud costs. Additionally, Reference Tables enable advanced querying capabilities using tools like Sheets, DDSQL Editor, and Log Workspaces, allowing users to perform complex analysis and build reports without requiring technical expertise.