workflows

A standard data ingestion pipeline consists of eight stages: AUDIT, EXTRACT, TRANSFORM, DASHBOARD, REPORT, STAT, ADMIN, and PUBLISH. This workflow enforces reproducibility and guides data sources from initial audit through final publication.

You document and audit data pipelines by enforcing reproducibility requirements and referencing standardized script inventories. This provides centralized access to pipeline documentation, ensuring consistency and reducing setup time for ongoing investigations.

Yes, you can execute the data ingestion pipeline step by step. The workflow supports sequential pipeline execution, allowing you to validate outputs and maintain pipeline adherence at each stage of the ingestion process.

You validate existing data ingestion workflows by comparing them against the standardized eight-stage pipeline. Review the script inventory, output expectations, and documented references to ensure your current pipelines meet reproducibility and cost-aware extraction requirements.

Yes, the ingestion workflow supports cost-aware data extraction. It is designed for new data sources and ongoing investigations, enforcing reproducible scripting and pipeline adherence while managing extraction costs across the standardized stages.