Advanced Analytics with PySpark - Patterns for Learning from Data at Scale Using Python and Spark

"The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming"--Back cover.

About the author

Akash Tandon is an independent consultant and experienced full-stack data engineer. Previously, he was a senior data engineer at Atlan, where he built software for enterprise data science teams. In another life, he had worked on data science projects for governments, and built risk assessment tools at a FinTech startup. As a student, he wrote open source software with the R project for statistical computing and Google. In his free time, he researches things for no good reason.

Product details

• Authors: Uri Laserson, Laserson Uri, Sean Owen, Owen Sean, Sandy Ryza, Ryza Sandy, Akash Tandon, Josh Wills, Wills Josh
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2022
• EAN: 9781098103651
• ISBN: 978-1-09-810365-1
• Dimensions: 178 mm x 232 mm x 14 mm
• Weight: 416 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Databases, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / Python, Databases / Data management