Interview Questions
1. What are some common aggregation functions in PySpark, and how are they used?
2. Explain the difference between groupBy() and agg() in PySpark.
Post #169
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Data Engineers Working with PySpark Aggregations What are Aggregations? Aggregations in PySpark allow you to transform large datasets by computing statistics across specified groups. PySpark offers built-in functions for common aggregations, such as sum, avg, min, max…
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