Python big data infrastructure tricks - Building and optimizing large-scale data processing systems using Hadoop and Spark - (Japanese Edition)
by Rin Sakakuni
Explore the foundations of Python-based big data infrastructure with a focused guide to building and optimizing large-scale processing systems. Using Hadoop and Spark as its central technologies, this Japanese edition introduces practical concepts for readers working with data engineering, distributed processing, and scalable computing environments.
About This Book
This book focuses on Python big data infrastructure and the challenges of working with large-scale data processing systems.
It covers building and optimizing data processing environments using Hadoop and Spark, two widely recognized technologies in the big data ecosystem.
Designed for readers interested in practical infrastructure techniques, the book provides a technology-focused introduction to large-scale data systems. This edition is presented in Japanese.
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