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Why specific cloud services (AWS Glue, EMR) were chosen for scalability and cost-effectiveness

Cloud/Toolseasy0.4 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
PayPal
Key Concepts Tested
etlspark
Expert AnswerPremium
73 wordsInterview-ready
**Glue**: Serverless Spark; no cluster management; Data Catalog integration; job bookmarks. Suits standard batch ETL, moderate Spark. Cost-effective for variable/infrequent jobs. 15-min DPU minimum—inefficient for very short jobs. **EMR**: Full Spark control; custom configs; MLlib, graph. Use when Glue doesn't fit—long-running, custom libs. **Scalability**: Both auto-scale; Glue per-job; EMR per-cluster. **Cost**: Glue for sporadic; EMR for steady or custom....
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 PayPal. The answer also includes follow-up discussion points that interviewers commonly explore.

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