Space Regulatory Glossary AI & Data Science

data pipeline

noun

1. An automated sequence of data processing steps that moves information from source systems through transformation, validation, and enrichment stages to a destination store. Pipelines handle ingestion, cleaning, normalization, and loading on a scheduled or event-driven basis.
2. A regulatory intelligence data pipeline crawls agency websites and APIs, extracts structured data from filings, resolves entities, generates embeddings, and loads results into a searchable database. Pipeline reliability directly determines data freshness and coverage.

Read: Document Extraction Pipeline Architecture

Related terms

ETL Extract, Transform, Load: a data integration pattern where data is pulled from source systems (extract), converted into… document extraction The process of converting unstructured or semi-structured documents (PDFs, scanned images, HTML pages) into structured… entity resolution The process of determining whether different records or mentions refer to the same real-world entity, despite…

Mentioned in The Downlink

• AI Verification Engineering: Architecture for Trustworthy Regulatory AI

  RAG hallucinates at 17 to 33 percent in production legal tools. The architecture of trustworthy regulatory AI: source grounding, extraction validation, confidence scoring, and standards-aligned verification.

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