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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Learn scalable real-time data stream processing in Python with Apache Kafka and Spark for efficient analysis of large data flows.

ASIN B0CZZLQMVR Views 77 Publisher Shinzan palette Year 2024 Format Kindle Edition Product Group Digital Ebook Purchas Pages 30 Adult No Created March 06, 2026 Updated August 16, 2026
About This Book

This book focuses on scalable data stream processing techniques using Python.

It covers the integration of Apache Kafka and Spark for real-time data analysis.

Readers will learn practical approaches to handling streaming data efficiently.

The content is presented in Japanese and targets practitioners working with large-scale data systems.

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I will be using this book for: