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Data Pipelines System Design Case Studies

6 Data Pipelines case studies from Meta with full breakdowns.

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Ad Click and Impression Aggregator
6 min readAdsAnalyticsData Pipelines
Advanced+2▶ Mock
Content Moderation System (Harmful Post Detection)
6 min readAI / MLSecurityData Pipelines
Advanced▶ Mock
Flight Search Platform (Google Flights / Kayak)
4 min readSearchCachingData Pipelines
Advanced▶ Mock
Price Drop Tracker (CamelCamelCamel)
5 min readE-commerceSchedulingData Pipelines
Intermediate▶ Mock
Recommendation System (Candidate Generation + Ranking)
6 min readAI / MLData PipelinesDistributed Systems
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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