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Home/Questions/Python/Coding/How would you process a 10TB dataset on a single machine in Python?

How would you process a 10TB dataset on a single machine in Python?

Python/Codinghard0.2 min read

**Reality:** Not practical to load. **Options:** (1) Stream/chunk; aggregate. (2) SQL—bulk load; query. (3) Dask/Vaex. (4) Recommend distributed (Spark). **If must:** Partition file; process parts; merge. **Why:** Memory limit....

🤖 Analyze Your Answer
Frequency
Low
Asked at 1 company
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Goldman Sachs
Key Concepts Tested
partitionpythonsparksql

Why This Question Matters

This hard-level Python/Coding question appears frequently in data engineering interviews at companies like Goldman Sachs. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, python, spark) will help you answer variations of this question confidently.

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
33 words

Reality: Not practical to load. Options: (1) Stream/chunk; aggregate. (2) SQL—bulk load; query. (3) Dask/Vaex. (4) Recommend distributed (Spark). If must: Partition file; process parts; merge. Why: Memory limit. Production: Push to Spark/Dask.

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According to DataEngPrep.tech, this is one of the most frequently asked Python/Coding 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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