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Describe AWS Glue components and their functions.

Cloud/Toolshard0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

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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

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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 Answer

69 words

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. Trade-offs: Less control than EMR; cold start. When: Serverless preference; lake-centric; diverse sources.

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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.'

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