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Describe AWS Glue components and their functions.

Cloud/Toolshard0.3 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
EY
Interview Pro Tip

Red Flag: 'Glue is like EMR'—different use cases. Pro-Move: 'Glue for serverless; we use Crawlers sparingly (cost)—schema in code for prod; Catalog for discovery.'

Key Concepts Tested
etlpythonspark
Expert AnswerPremium
69 wordsInterview-ready
Why Glue: Serverless ETL on AWS—no cluster management; pay per DPU. Architectural logic: (1) Data Catalog—metadata; table definitions. (2) Crawlers—discover schema; populate catalog. (3) ETL Jobs—Spark or Python; transform. (4) Workflows—orchestrate jobs and crawlers. (5) DataBrew—visual prep. (6) Schema Registry—streaming schema evolution. (7) Interactive Sessions—notebook dev. Scalability: Serverless; auto-scales. Cost: DPU hours; crawlers and jobs separate....
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 EY. The answer also includes follow-up discussion points that interviewers commonly explore.

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