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Data Pipelines System Design Case Studies

3 Data Pipelines case studies from Atlassian with full breakdowns.

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Companies

Microsoft10Amazon7Apple6Google6Meta6LinkedIn4Pinterest4Rippling4TikTok4Anthropic3Atlassian3Netflix3OpenAI3Oracle3Walmart3Airbnb2Salesforce2Uber2Adobe1Bloomberg1Goldman Sachs1JPMorgan1NVIDIA1Roblox1Snowflake1

Topics

Distributed Systems 90Real-time 51Storage 43Data Pipelines 42API Design 41Databases 38Caching 37Security 32AI / ML 23Algorithms 20Scheduling 20Search 19Event Driven 14Fintech 14Payments 11Geospatial 11Analytics 11Observability 11E-commerce 11Messaging 10CDN 9Concurrency 8Ads 8Frontend 8Booking System 6Networking 5IoT 4Media 3Media Streaming 3Collaboration 3Rate Limiting 2
Atlassian✕Data Pipelines✕Clear all
Real-Time Data Stream Processor
4 min readData PipelinesReal-timeDistributed Systems
Intermediate▶ Mock
Metrics Monitoring and Alerting System
7 min readObservabilityData PipelinesStorage
Advanced+3▶ 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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