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- Apache Kafka 4.2: A Practical Guide to Distri...
Apache Kafka 4.2: A Practical Guide to Distributed Event Streaming, Real-Time Data Pipelines, and Scalable Messaging Systems (Next Level Technology)
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- Are you trying to understand how modern companies process massive streams of real-time data without delays? Ever wondered how large systems handle millions of events every second while keeping data reliable, scalable, and instantly available?What if you could clearly understand how event streaming works—from the fundamentals of distributed data systems and event-driven architecture to the advanced design of enterprise streaming platforms?This guide walks you through the full journey of building and operating real-time streaming infrastructures. How do event-driven systems differ from traditional data processing? What actually happens inside a distributed commit log? How do producers, consumers, topics, and partitions coordinate inside a cluster? These questions—and many more—are answered in a practical and structured way.Inside, you’ll explore critical areas such as Kafka architecture, cluster design, producers and consumers, stream processing, and real-time data pipelines. Curious about how modern systems perform fraud detection, real-time analytics, and scalable microservice communication? You'll see how these real-world applications are built using event streaming.You’ll also discover how professionals design high-availability clusters, optimize performance, implement security, monitor production environments, and scale infrastructure across multiple regions. From installing and running local environments to deploying enterprise-grade streaming systems in production, every stage is explained with clarity and depth.And if you’ve ever wondered where event streaming is heading next, you’ll explore emerging areas like AI-driven data pipelines, edge event processing, cloud-native streaming, and advanced architectural strategies for large-scale platforms.Are you ready to move beyond theory and truly understand how real-time data systems are built and operated?Start exploring the concepts, architectures, and practical strategies that power modern event streaming—and take your knowledge of distributed data systems to the next level.
| Publisher | Independently published |
| Publication date | March 19, 2026 |
| Language | English |
| Print length | 389 pages |
| ISBN-13 | 979-8252846262 |
| Item Weight | 2.44 pounds (1.11 kg) |
| Dimensions | 8.5 x 0.88 x 11 inches (21.6 x 2.2 x 27.9 cm) |
| Part of series | Next Level Technology |
ОПИСАНИЕ ТОВАРА
Apache Kafka 4.2: A Practical Guide to Distributed Event Streaming, Real-Time Data Pipelines, and Scalable Messaging Systems (Next Level Technology)
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