12 docs tagged with "Transform"

Learn how to define custom timestamp formats in Imply Lumi using DateTimeFormatter syntax. Parse any timestamp pattern for accurate event tracking.

Learn how to use string and numeric processing functions in Imply Lumi pipelines.

Learn how to process Windows event logs with Imply Lumi using Splunk® forwarders and S3 routing.

Learn how to transform events in Imply Lumi using pipelines. Add processors to parse, map, and remove attributes from incoming data.

Learn how to create and manage pipelines in Imply Lumi to transform events. Configure processors, preview results, and optimize your data processing workflow.

Learn how Imply Lumi predefined pipelines automatically extract fields from standard log formats for faster searching and analysis.

Learn how to transform events using Imply Lumi processors. Explore parsing, mapping, and redaction tools to optimize your data pipelines.

Learn how Imply Lumi detects and assigns timestamps to events. Configure manual mapping and time zones for accurate observability analysis.

Learn how Imply Lumi transforms and enriches event data using pipelines and IAM key attributes for better search and analysis.

Learn how Imply Lumi pipelines transform events through parsing and enrichment. Optimize timestamps, searchability, and storage for observability data.

Learn how to nest Imply Lumi pipelines to organize event processing. Apply filters and transformations for complex workflows.

Learn how Imply Lumi predefined pipelines process common event formats. Discover built-in parsing and enrichment rules that structure your data automatically.