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1,600 Views • Mar 29, 2024 • Click to toggle off description
In Apache Spark, Narrow transformations are preferred whenever possible because they are more efficient and can be executed in parallel without requiring data shuffling. Wide transformations are necessary for operations that require data redistribution or aggregation across partitions, but they incur higher overhead due to data shuffling. Efficient use of narrow transformations can help optimize Spark jobs for better performance and resource utilization.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
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Uploaded At Mar 29, 2024 ^^
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RYD date created : 2024-03-31T06:12:02.171475Z
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@sangamrathore-b9z
6 months ago
Happy to see such shorts.keep learning and keep growing 🎉Thanks sumit sir for thi
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