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Data Engineer Interview Questions and Answers

Question: How do you handle data skew in a distributed computing environment?
Answer: Data skew occurs when certain partitions or shards have significantly more data than others. Techniques to handle data skew include re-partitioning, data pre-processing, and using advanced algorithms for data distribution.

Example:

Re-partitioning a dataset based on a different key to distribute the data more evenly in a Spark job.

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