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Learn how to transform cryptic observability data into meaningful business insights using lookup tables in Dynatrace Grail through this 13-minute technical demonstration. Follow along as Daniel Adams from FreedomPay demonstrates a real-world implementation that converts raw trace data filled with obscure IDs into human-readable dashboard information. Discover the practical process of uploading lookup data from various sources including SQL databases, CSV files, and JSON formats directly into Dynatrace Grail. Master the new DQL load and lookup commands to effectively join business events, logs, spans, and metrics with custom contextual data. Explore step-by-step techniques for creating sample CSV files, uploading them to Grail, and using the load command to explore lookup data relationships. See how to connect business events with lookup tables to enrich observability pipelines with relevant business context. Learn to enhance dashboard readability by replacing technical identifiers with meaningful business terms, and implement lookup data in dashboard variables for dynamic filtering and improved user experience. Gain practical insights into solving common observability challenges where technical teams need to present data in formats that business stakeholders can easily understand and act upon.
