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PySpark Interview Questions | Azure Data Engineer #azuredataengineer #databricks #pyspark

Q63. How to perform basic transformations and actions on a Spark DataFrame?

In this video, we explore how to perform basic transformations and actions on a Spark DataFrame using PySpark. We'll cover commonly used transformations such as select(), filter(), and groupBy(), as well as actions like show(), count(), and collect(). Understanding these concepts is crucial for effectively processing and analyzing big data in Spark.

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Видео PySpark Interview Questions | Azure Data Engineer #azuredataengineer #databricks #pyspark канала Cloud Architect Abhiram
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