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Could someone tell me why do we need Parallel processing for Big Data Analytics?

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Parallel processing is a technique used by professionals and Data Scientists in computing in multiple processors that is CPU’s that will help in better handling of separate parts of an overall project. Techniques like these are employed by professionals for faster and efficient processing of Big sets of data.

If you are interested in learning Big Data, then check out the Big Data Analytics courses from Intellipaat which are curated by MNC’ experts which include online training and projects and exercises to help you gain the required hands-on experience.

Also, I would suggest you watch our YouTube video on Big Data Processing using PySpark to gain more insight from our experts.

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