AI provides a detailed overview of Dynatrace's new lookup table feature within the Grail data lakehouse, which allows users to enrich observability and security data with custom, static contextual information. The Dynatrace Query Language (DQL) is central to this feature, utilizing commands like load to retrieve lookup data and lookup or join to combine it with existing data, such as logs or business events. Multiple sources highlight that lookup tables, which can be uploaded via API or UI in formats like CSV, JSON, and XML, solve the problem of translating technical identifiers (like IDs) into human-readable business context for dashboards and analysis. The documentation and a demonstration video emphasize the process of file ingestion, the requirement for a DPL parsing pattern, and the organizational convention that lookup file paths must begin with /lookups/. Finally, the texts discuss practical applications in enhancing dashboard readability and accelerating security investigations by incorporating allow lists or threat intelligence feeds.
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