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Home/Questions/System Design/Architecture/Design a data pipeline from end to end - describe how data would be ingested, processed, stored, and queried.

Design a data pipeline from end to end - describe how data would be ingested, processed, stored, and queried.

System Design/Architecturehard2.6 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in System Design/Architecture
Difficulty Split
15E|6M|158H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Apple
Key Concepts Tested
joinlakehouseoptimizationpartitionspark
Expert AnswerPremium
512 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** End-to-end data pipelines must reconcile batch (S3, databases) and streaming (Kafka, Kinesis) sources into a unified lakehouse or warehouse. The primary challenge is orchestrating ingestion, transformation, and serving while handling schema evolution, late-arriving data, and maintaining lineage for compliance....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Apple. The answer also includes follow-up discussion points that interviewers commonly explore.

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