Аннотация
Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can work with RDDs in Python programming language also. It is because of a library called Py4j that they are able to achieve this.
This is an introductory tutorial, which covers the basics of Data-Driven Documents and explains how to deal with its various components and sub-components.
Audience This tutorial is prepared for those professionals who are aspiring to make a career in programming language and real-time processing framework. This tutorial is intended to make the readers comfortable in getting started with PySpark along with its various modules and submodules.
![Теоретический минимум по Big Data [Всё что нужно знать о больших данных]](https://www.rulit.me/data/programs/images/teoreticheskij-minimum-po-big-data-vsyo-chto-nuzhno-znat-o-b_590848.jpg "Cегодня Big Data – это большой бизнес.
Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных...")
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