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Home/Questions/Cloud/Tools/Explain how AWS Glue interacts with on-premises SQL databases to extract data efficiently.

Explain how AWS Glue interacts with on-premises SQL databases to extract data efficiently.

Cloud/Toolsmedium0.3 min readPremium

Architectural logic: Glue runs in AWS; connector/agent in on-prem network proxies connection. Efficient extraction: (1) Pushdown—filter at source. (2) Partition-based extract (date). (3) Incremental via bookmarks/watermark. (4) Parallel reads by splitting on numeric key. Why:...

🤖 Analyze Your Answer
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
EPAM
Key Concepts Tested
partitionsql

Why This Question Matters

This medium-level Cloud/Tools question appears frequently in data engineering interviews at companies like EPAM. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, sql) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
56 words

Architectural logic: Glue runs in AWS; connector/agent in on-prem network proxies connection. Efficient extraction: (1) Pushdown—filter at source. (2) Partition-based extract (date). (3) Incremental via bookmarks/watermark. (4) Parallel reads by splitting on numeric key. Why: Full scans over WAN are slow and expensive. Best practice: Connector in same network as DB; connection pooling; always use predicates.

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations covering performance optimization and real-world examples.

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According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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