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Kafka: The Definitive Guide: RealTime Data and Stream Processing at Scale,Used
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Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafkas AdminClient API, transactions, new security features, and tooling changes.Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable eventdriven microservices, and build scalable stream processing applications with this platform. Through detailed examples, youll learn Kafkas design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.Youll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and usecase requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafkas operational measurements Kafkas delivery capabilities for stream processing systems
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- Q: How many pages does this book have? A: This book has four hundred eighty-five pages. It provides comprehensive coverage of Kafka's features and best practices.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and easy to handle.
- Q: What are the dimensions of this book? A: The dimensions of this book are seven point zero one inches in length, nine point one nine inches in height, and zero point nine eight inches in width.
- Q: Who is the author of this book? A: The author is Gwen Shapira. She is known for her expertise in data processing and stream management.
- Q: What is the main topic covered in this book? A: The main topic is real-time data and stream processing using Kafka. It focuses on applications and best practices.
- Q: How do I implement Kafka in my projects? A: You can implement Kafka by following the best practices outlined in the book. It covers deployment, configuration, and event-driven microservices.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides foundational knowledge about Kafka's architecture and functionalities.
- Q: Can experienced developers benefit from this book? A: Yes, experienced developers can benefit from this book. It includes advanced topics like Kafka's AdminClient API and security features.
- Q: What kind of applications can I build with Kafka? A: You can build scalable stream processing applications. The book discusses patterns and use-cases for reliable data delivery.
- Q: How do I maintain a Kafka cluster? A: You can maintain a Kafka cluster by following the monitoring, tuning, and maintenance tasks in the book. It details operational measurements.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, you should contact the seller or publisher for a replacement or refund. Keep your receipt handy.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, check the return policy for any issues.
- Q: What if I have questions while reading the book? A: If you have questions, you can refer to online forums or communities focused on Kafka. Many resources are available for support.
- Q: How do I safely store this book? A: Store this book in a dry, cool place to prevent damage. Avoid direct sunlight to keep the pages from yellowing.
- Q: Can I lend this book to someone else? A: Yes, you can lend this book to someone else. Just ensure it is returned in good condition.