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Topic

Data quality

Data quality shows up across 2 courses in 2 layersof the data platform stack. Here's where it's taught, a free way to practice it, and what to learn next.

Where it's taught

⇄Ingestion & Transport

Batch Ingestion Patterns

Connector-based batch ingestion: full vs incremental, cursors, idempotency, the Singer spec, and quality gates.

10 ch · 3h 30m

1 free
⚙Orchestration & Pipelines

Pipeline Quality vs Data Quality

Pipeline health and data health are independent axes. Learn to tell the difference between 'the job ran' and 'the data is right', and which one belongs on which dashboard.

6 ch · 1h 17m

1 free

Related topics

↗schema drift↗batch ingestion↗data anomalies↗data freshness↗ELT↗fivetran↗incremental extraction↗pipeline failures↗singer↗upserts

Start learning data quality free

The first chapter of every course is free to read — no account needed.

Start: Batch Ingestion Patterns →All strata
Petascale Labs

The physics layer of data

From byte-level storage to business-grade metrics. Built with depth, not breadth.

Curriculum

Data Engineer RoadmapAll strataStorage & File FormatsIngestion & TransportOpen Table FormatsCompute EnginesOrchestration & PipelinesQuery Engines & OLAPSemantic & Metrics LayerPII & Data Governance

Tools

All toolsParquet ViewerFreeSCD PlaygroundFreePII Masking GeneratorFree

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