1. Transactional Machine Learning with Data Streams and AutoML
This book by Sebastian Maurice is a comprehensive guide for anyone looking to build elastic and frictionless machine learning solutions using Apache Kafka. Published in May 2021, it covers essential concepts and practices needed to integrate modern machine learning techniques with real-time data streams. The text dives into the synergy of Data Streams and AutoML, offering practical insights into deploying machine learning in cloud settings using Python. This book is a must-read for data scientists and machine learning engineers who want to stay ahead of the curve.
2. Kafka: Pour une littérature mineure
Authored by esteemed philosophers Félix Guattari and Gilles Deleuze, this 1975 publication presents a unique philosophical perspective on Kafka’s literary excellence. The book takes a deep dive into the workings of minor literature, examining how Kafka’s writing breaks boundaries and redefines norms. It’s essential reading for literature enthusiasts and those intrigued by postmodern thought, offering rich interpretations that still resonate today. Whether you’re a scholar or an avid reader, this text should be on your bookshelf.
3. Real-Time Data Processing with Apache Kafka and Flink
Maximilian Ford brings forth the intricacies of real-time data processing with Apache Kafka and Flink in this upcoming release. Set to publish in December 2024, the book is anticipated to be a game-changer, offering in-depth tutorials, real-world applications, and simplified explanations. Its proactive approach to understanding data streams and the algorithms behind them makes it an essential pick for both new learners and seasoned professionals eager to enhance their knowledge in data processing.
4. Kafka Connect e Kafka Streams
Rodrigo Vieira Pinto presents a captivating look into integrating applications with Kafka using the best practices in this Portuguese edition. Scheduled for publication in May 2024, this book will serve as an invaluable resource for developers looking to enhance their Kafka skills. It keeps a focus on practical solutions and comprehensive strategies for maintaining high-performance applications while effectively managing data streams. If you’re a developer or aspiring technologist, this book will help you master Kafka.
5. Kafka Streams и ksqlDB: данные в реальном времени
This Russian edition by Митч Сеймур, Лариса Киселева, Изольда Рузмайкина, set to be published in October 2024, provides critical insights into real-time data handling with Kafka Streams and ksqlDB. By focusing on practical case studies and detailed examples, the authors create an engaging narrative for readers eager to understand the complexities of real-time data processing. This is a significant addition for any data engineer looking to round up their skill set and gain hands-on experience with contemporary data solutions.
6. Echtzeit-Datenverarbeitung mit Apache Kafka und Flink
In this German edition, Maximilian Ford explores scalable solutions for streaming analytics with Apache Kafka and Flink. Expected to release in December 2024, it focuses on architectures that make real-time analytics feasible in various sectors. The book emphasizes innovative methods of data processing and scalability, which are critical for businesses today. If you’re involved in data science or analytics, keep an eye out for this incredible resource that adeptly bridges theory and practice.
7. Kafka Streams i ksqlDB: dannye v realnom vremeni
Seymur M. presents this compelling addition to understanding data streaming technologies, set for release on January 1, 2023. Focused specifically on the nuances of using Kafka Streams and ksqlDB, this book provides valuable methodologies and design patterns for deploying real-time applications efficiently. Its in-depth analysis and hands-on approach make it a preferred choice among technology professionals wanting to deepen their knowledge in live data streaming.
8. Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Authored by Hubert Dulay and Stephen Mooney, this book examines a novel model for improving real-time data services, released on June 20, 2023. It addresses significant challenges faced by organizations when leveraging streaming data and offers models and solutions for optimizing services. More than just theoretical, it balances practice with cutting-edge insights, cementing its place as an essential read for data architects and engineers.
9. Pega Stream Events In Action: Real-time Streaming with Kafka
Nikhil Garge‘s 2021 release covers real-time streaming in depth, focusing on the Pega platform integration with Kafka. The book provides a step-by-step guide for practitioners looking to implement streaming event processing in their applications. Its structured approach aids readers in grasping complex concepts and executing them in real-world scenarios. This title will undoubtedly help software developers harness the power of real-time data effectively.
10. KAFKA STREAMS实战
This book, authored by [ MEI ] XIAO WEI LIAN · P. BEI JIE KE, is designed for practitioners looking to enhance their skills in using Kafka Streams effectively. With an expected release date in May 2019, it explores various use cases and real-world scenarios that empower readers to apply Kafka Streams in business environments. Whether you are a novice or an expert, this resource provides insights that can elevate your understanding and implementation of streaming data solutions.
