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Data Pipelines System Design Case Studies

6 Data Pipelines case studies from Google with full breakdowns.

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Interactive Map with 100 Million+ Points
4 min readGeospatialFrontendData Pipelines
Advanced▶ Mock
Large-Scale Near-Duplicate Video Detection
4 min readAI / MLMediaSearch
Advanced▶ Mock
Recommendation System (Candidate Generation + Ranking)
6 min readAI / MLData PipelinesDistributed Systems
Advanced▶ Mock
Security Monitoring Framework for Cloud Infrastructure
4 min readSecurityObservabilityData Pipelines
Advanced▶ Mock
Street View Image Ingestion and Storage
4 min readMediaStorageData Pipelines
Advanced▶ Mock
Top-K Trending Items (Heavy Hitters)
7 min readAnalyticsReal-timeAlgorithms
Advanced+4▶ Mock

Frequently Asked Questions

What is Data Pipelines in system design?

Data Pipelines is a core system design topic covered in 42 case studies on InterviewSkool. It appears frequently in FAANG interviews, especially at Google, Amazon, and Meta.

How should I prepare Data Pipelines for system design interviews?

Study the case studies above, focusing on architecture trade-offs, scale estimates, and API designs. Practice explaining your decisions aloud — this is exactly what interviewers evaluate.

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