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Big Data Analytics with PySpark

Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 238.22 MB | Duration: 1h 10m 48s​

PySpark combines the versatility of Python with the parallel computing power of Spark. This course will get you started with big data analytics using this popular API.

PySpark combines the powerful parallel computing platform of Spark with
the very popular Python language to enable the analysis of large datasets.

In this course, Big Data Analytics with PySpark, you'll gain the ability to
tackle the transformation and analysis of large datasets with this popular
API.

First, you'll explore ingesting and transforming datasets with PySpark.

Next, you'll discover how to do analysis and aggregation of datasets as
well as optimizing the performance of the PySpark operations.

Finally, you'll learn how to visualize and export the results of your analysis.

When you're finished with this course, you'll have the skills and knowledge
of PySpark needed to tackle your next big data analytics project.

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