Data Analysis with Python and PySpark by Jonathan Rioux is a practical guide for data professionals looking to leverage the power of PySpark for big data processing and analysis. This book bridges the gap between traditi...
Описание Data Analysis with Python and PySpark. Jonathan Rioux
Data Analysis with Python and PySpark by Jonathan Rioux is a practical guide for data professionals looking to leverage the power of PySpark for big data processing and analysis. This book bridges the gap between traditional Python-based data analysis and distributed computing, enabling readers to handle large datasets efficiently. What's inside:
PySpark Basics: Installing, Configuring, and Running Code
Working with DataFrames and Spark SQL for Data Processing
Using Grouping, Aggregation, and Windowing Functions
Scalable Machine Learning and Statistical Analysis with PySpark
Optimizing Performance and Managing Cluster Resources
The book is aimed at data scientists, analysts, and developers who want to integrate PySpark into their projects and improve the efficiency of working with large volumes of data.
Основные характеристики Data Analysis with Python and PySpark. Jonathan Rioux
Основные характеристики
АвторJonathan Rioux
ОбложкаМягкая
Количество страниц456
Язык изданияАнглийский
Тип полиграфической бумагиофсет
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Data Analysis with Python and PySpark. Jonathan Rioux