In the article, lookup tables are highlighted as a crucial tool for enhancing log analysis by providing additional context and improving the efficiency of interpreting log data. These tables, which map one set of values to another, help in decoding error codes for quicker troubleshooting, detecting unauthorized access to cloud resources to bolster security, and profiling user behavior for more effective product development and marketing strategies. Additionally, lookup tables assist e-commerce businesses in optimizing inventory management by mapping SKU codes to product names. Coralogix enhances log analysis through its DataPrime query language, which allows dynamic mapping and enrichment of logs using lookup tables, thus optimizing observability costs without altering the original log size. The tool supports on-demand log enrichment during ingestion, ensuring logs are easily accessible and analyzable at any time.