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PySpark Interview Questions | Azure Data Engineer #azuredataengineer #databricks #pyspark
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Q71. Define concept of window functions in PySpark and provide an example.
In this video, we'll explore the concept of Window Functions in PySpark, a powerful tool for performing operations on groups of related rows. Unlike standard aggregation functions, which condense multiple rows into a single output, window functions retain the original rows while allowing us to perform calculations like running totals, rank, and more.
Watch the full video to get a deeper understanding and more examples.
📺 Subscribe for more PySpark tutorials!
👍 Like | 💬 Comment | 🔔 Hit the bell icon to stay updated!
#PySpark #DataEngineering #BigData #WindowFunctions #Python #DataScience #CloudArchitectAbhiram
In this video, we'll explore the concept of Window Functions in PySpark, a powerful tool for performing operations on groups of related rows. Unlike standard aggregation functions, which condense multiple rows into a single output, window functions retain the original rows while allowing us to perform calculations like running totals, rank, and more.
Watch the full video to get a deeper understanding and more examples.
📺 Subscribe for more PySpark tutorials!
👍 Like | 💬 Comment | 🔔 Hit the bell icon to stay updated!
#PySpark #DataEngineering #BigData #WindowFunctions #Python #DataScience #CloudArchitectAbhiram
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