PySpark and AWS: Master Big Data with PySpark and AWS - Applications of PySpark

The video tutorial covers various applications of PySpark, focusing on its use in streaming data, machine learning, batch data analysis, ETL processes, and data replication. PySpark's ability to handle real-time data, perform advanced analytics, and support data migration and replication is highlighted. The tutorial aims to provide an understanding of these key applications, acknowledging that not all PySpark applications can be covered in a single video.

Explain the ETL process in the context of Spark.

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What are the common applications of Spark mentioned in the text?

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