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Home/Questions/General/Other/Compare batch processing and stream processing for financial data.

Compare batch processing and stream processing for financial data.

General/Otherhard0.2 min readPremium

**Batch**: Reporting, reconciliation, EOD. Higher latency; simpler; better for large scans. **Stream**: Fraud, trading, alerts. Low latency; complex; exactly-once critical. **Trade-off**: Batch cheaper; stream real-time. **Best practice**: Use both—batch for EOD; stream for...

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Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Goldman Sachs

Why This Question Matters

This hard-level General/Other question appears frequently in data engineering interviews at companies like Goldman Sachs. While less common, it tests deeper understanding that distinguishes strong candidates.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
38 words

Batch: Reporting, reconciliation, EOD. Higher latency; simpler; better for large scans. Stream: Fraud, trading, alerts. Low latency; complex; exactly-once critical. Trade-off: Batch cheaper; stream real-time. Best practice: Use both—batch for EOD; stream for time-sensitive. Lambda architecture or Kappa.

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 General/Other 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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