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PySpark Interview Questions | Azure Data Engineer #azuredataengineer #databricks #pyspark
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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.
🔥 Don't forget to subscribe for more tutorials on PySpark and big data!
Don't forget to like, comment, and subscribe for more PySpark interview tips and tutorials!
#PySpark #BigData #ApacheSpark #DataEngineering #PySparkInterviewQuestions #CloudArchitectAbhiram
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.
🔥 Don't forget to subscribe for more tutorials on PySpark and big data!
Don't forget to like, comment, and subscribe for more PySpark interview tips and tutorials!
#PySpark #BigData #ApacheSpark #DataEngineering #PySparkInterviewQuestions #CloudArchitectAbhiram
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