Tricks for scalable data stream processing in Python - Real-time data analysis practice using Apache Kafka and Spark - (Japanese Edition)
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Tricks for scalable data stream processing in Python - Real-time data analysis practice using Apache Kafka and Spark - (Japanese Edition)

by Rin Sakakuni

Big Data Python Programming Data Streaming Apache Kafka Spark
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A Japanese-language practical guide to scalable data stream processing in Python. It explores real-time data analysis with Apache Kafka and Spark, offering readers a focused introduction to technologies and techniques for working with streaming data in modern analytical environments.

ASIN B0CZZLQMVR Views 91 Publisher Shinzan palette Year 2024 Format Kindle Edition Product Group Digital Ebook Purchas Pages 30 Adult No Created March 06, 2026 Updated October 20, 2026
About This Book

This Japanese-language book focuses on scalable data stream processing with Python.

It presents practical material for real-time data analysis using Apache Kafka and Apache Spark.

The book is intended for readers seeking to understand tools and techniques for handling streaming data at scale.

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I will be using this book for: