Guides ยท Technology
Data Pipeline Basics
Move and process data reliably
Data pipeline basics cover ingesting from sources, staging raw data, transforming to clean models, and monitoring for failures and data quality issues.
- ingest
- staging
- transform
- orchestrate
- data quality
Ingest and Stage
Pull from sources on schedules; land raw data with schema tracking.
Transform
Clean, join, and model data reproducibly with versioned code.
Monitor
Alert on failures and quality checks like row counts and nulls.