Begin building event-driven microservices, including patterns to handle data consistency and resiliency Key Features Explore the benefits and tradeoffs of event-driven architectures with practical examples and use cases Understand synergy with event sourcing, CQRS, and domain-dr…
Begin building event-driven microservices, including patterns to handle data consistency and resiliency Key Features Explore the benefits and tradeoffs of event-driven architectures with practical examples and use cases Understand synergy with event sourcing, CQRS, and domain-dr…
"This book covers a selection of diverse aspects of recent trends and state-of-the art solutions in computer and communication engineering, focusing specifically on real-time applications of electronics, communications, computing, and information technology. Experts in research,…
"This book covers a selection of diverse aspects of recent trends and state-of-the art solutions in computer and communication engineering, focusing specifically on real-time applications of electronics, communications, computing, and information technology. Experts in research,…
In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device cloud…
Handbook of real-time computing
The aim of this handbook is to summarize the recent rapidly developed real-time computing technologies, from theories to applications. This handbook benefits the readers as a full and quick technical reference with a high-level historic review of technology, detailed technical d…
Handbook of real-time computing
"Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud nat…
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud nati…
This book considers advanced real-time optimisation methods for 5G and beyond networks. The authors discuss the fundamentals, technologies, practical questions and challenges around real-time optimisation of 5G and beyond communications, providing insights into relevant theories…
This book provides both a basic understanding of stream processing in general, and practical guidance for development and research with Apache Heron in particular. It delivers to developers of streaming applications basic and systematic knowledge about Heron, which is today only…
Primarily written for the undergraduate and postgraduate students of Computer Science and Computer Application, this book begins with a discussion on the architecture and components of real time system, real time operating system and computing issues. It then moves on to perform…
Primarily written for the undergraduate and postgraduate students of Computer Science and Computer Application, this book begins with a discussion on the architecture and components of real time system, real time operating system and computing issues. It then moves on to perform…
Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation…
Build a strong foundation in designing and implementing real-time systems with the help of practical examples Key Features Get up and running with the fundamentals of RTOS and apply them on STM32 Enhance your programming skills to design and build real-world embedded systems Get…