Overview
When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.
Full Product Details
Author: Jonathan Rioux
Publisher: Manning Publications
Imprint: Manning Publications
Dimensions:
Width: 18.60cm
, Height: 2.00cm
, Length: 23.40cm
Weight: 0.823kg
ISBN: 9781617297205
ISBN 10: 1617297208
Pages: 425
Publication Date: 16 March 2022
Audience:
General/trade
,
General
Format: Paperback
Publisher's Status: Active
Availability: Temporarily unavailable
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.
Reviews
A great and gentle introduction to spark. Javier Collado Cabeza A phenomenal introduction to PySpark from the ground up. Anonymous Reviewer A great book to get you started with PySpark! Jeremy Loscheider Takes you on an example focused tour of building pyspark data structures from the data you provide and processing them at speed. Alex Lucas If you need to learn PySpark (as a Data Scientist or Data Wrangler) start with this book! Geoff Clark
“A great and gentle introduction to spark.” Javier Collado Cabeza “A phenomenal introduction to PySpark from the ground up.”Anonymous Reviewer “A great book to get you started with PySpark!” Jeremy Loscheider “Takes you on an example focused tour of building pyspark data structures from the data you provide and processing them at speed.” Alex Lucas “If you need to learn PySpark (as a Data Scientist or Data Wrangler) start with this book!”Geoff Clark
Author Information
As a data scientist for an engineering consultancy Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts.
