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Describe how Adidas could use S3 and Athena to analyze clickstream data.

Cloud/Toolshard0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Adidas
Key Concepts Tested
partition
Expert AnswerPremium
75 wordsInterview-ready
Architecture: Ingestion via API Gateway + Lambda or Kinesis → S3 landing zone (JSON/Parquet) partitioned dt=YYYY-MM-DD. Glue Crawlers or manual schema → Athena tables. Query: Funnels, sessions, A/B tests—e.g., conversion by landing page. Why S3 + Athena: Decoupled storage/compute; pay per query; no cluster. Scalability: S3 unlimited; Athena concurrency unlimited. Cost: Partition by date and campaign_id; use Parquet—10x compression, column pruning....
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 Adidas. The answer also includes follow-up discussion points that interviewers commonly explore.

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