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Questions tagged partition · medium
Daily tasks of a Data Engineer?
Data-Related Issues Encountered - handling skewed data
Describe how you would use PySpark to aggregate and summarize large transaction datasets.
Discuss performance tuning concepts such as shuffle, skew, and caching.
Discuss techniques such as partitioning, broadcast joins, and caching to enhance Spark job performance.
How do you handle out-of-memory errors in Spark jobs?
How do you handle very large datasets in Spark to ensure scalability and efficiency?
Provide specific examples of challenges faced with PySpark and SQL and solutions implemented.
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