Expanded analytics with Pyspark. Tandon A., Ryza S., Laserson U.

The book is devoted to practical methods for analyzing large amounts of data using Python and the Spark Framwar, it introduces the Spark programming model and the basics of the Pyspark open source code. Each chapter describes a separate aspect of data analysis, shows the basics of data processing in Pyspark and Python on the example of data purification, machine learning is covered in detail using Spark.

The book will help the reader understand how the entire Pyspark conveyor works and works for a comprehensive analytics of large data sets: from creating and evaluating models to cleaning, pre -processing and researching data with a special accent for production applications. Separate chapters are devoted to the processing of images and the Spark NLP library.