TL;DR — Data Quality Platform

Design a data quality platform that monitors data pipelines, validates data against expectations, detects anomalies, and provides lineage for an organization's data ecosystem. Key features: Automated data profiling: statistics, distributions, patterns. Configurable validation rules: schema, nulls, ranges, uniqueness.

MEDIUM45 min

Data Quality Platform

data profilingvalidation rulesanomaly detectionlineage

Key Points

Automated data profiling: statistics, distributions, patterns
Configurable validation rules: schema, nulls, ranges, uniqueness
Anomaly detection on volume, freshness, and distributions

Key Constraints

Tables

100K+

Data volume

Petabytes

Validation rules

1M+

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Data Quality Platform

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Intermediate45 min read+100 XP

TL;DR — Data Quality Platform

MEDIUM45 min

Data Quality Platform

data profilingvalidation rulesanomaly detectionlineage

Key Points

Automated data profiling: statistics, distributions, patterns
Configurable validation rules: schema, nulls, ranges, uniqueness
Anomaly detection on volume, freshness, and distributions

Key Constraints

Tables

100K+

Data volume

Petabytes

Validation rules

1M+

Hints (0/3)

Canvas

Build your design

Drag components from the palette to build your solution for "Data Quality Platform"