Скачать или смотреть Apache Spark vs Hadoop: Which one is better? || Apache Spark Tutorial | Apache Spark For Beginners

Apache Spark and Apache Hadoop are both open-source frameworks for processing big data. However, they have different strengths and weaknesses and are suited for different types of applications.

Hadoop is a framework for storing and processing large datasets in a distributed fashion. It is designed for batch processing, which means that it is best for processing large amounts of data that is not changing frequently. Hadoop uses a programming model called MapReduce, which is a simple and efficient way to process large datasets.

pyspark tutorials videos below link:

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   • Join() function in PySpark | Databrick  
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