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Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
87% of respondents would recommend this to a friend
FJD 143
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Fabian Hueske and Vasia Kalavri are experienced contributors and advocates of the Apache Flink project.
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What Stands Out
Product Details
- Learn the fundamentals of Apache Flink and parallel stream processing
- Implement scalable streaming applications with Flink’s DataStream API
- Explore distributed stateful stream processing and Flink’s system architecture
- Understand Flink’s event-time processing mode and fault-tolerance model
- Deploy and configure Flink clusters for continuously running streaming applications
- Gain insights into operating, monitoring, and maintaining streaming applications
| Publisher | O'Reilly Media |
| Publication date | April 30, 2019 |
| Edition | 1st |
| Language | English |
| Print length | 308 pages |
| ISBN-10 | 149197429X |
| ISBN-13 | 978-1491974292 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.75 x 9.25 inches (17.8 x 1.9 x 23.5 cm) |
Who Should Buy?
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Data Engineers
Perfect for data engineers looking to enhance their skills in stream processing using Apache Flink effectively.
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Software Developers
Great resource for software developers interested in building robust streaming applications and improving data processing efficiency.
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Tech Enthusiasts
Ideal for tech enthusiasts eager to learn about big data technologies, specifically Apache Flink's capabilities and implementations.
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Beginner Programmers
May not be suitable for beginner programmers lacking foundational knowledge in programming and data processing concepts.
Product Description
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
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Data Processing Editorial Review
"Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications" provides a comprehensive guide to understanding and utilizing Apache Flink for real-time data processing projects. The book starts with a high-level overview of Flink's architecture and gradually delves into more detailed explanations of its various components and features. Readers appreciate the clear and concise explanations of stream processing concepts, as well as the inclusion of sample code to aid in understanding. The book covers a range of topics, from windowing operators and watermarks to connecting with external systems and deployment modes. It also includes a section on Flink operations and covers other relevant topics. The majority of the examples in the book are written in Scala, but reviewers mention that they were able to easily translate them into Java using the documentation available on Flink's website. The API's for both languages are similar, so this does not pose a significant issue. While the book is praised for its comprehensive coverage of Flink's fundamentals, some reviewers express frustration with the initial chapters. They feel that the book promises more in-depth explanations later on but lacks specific details and examples early on, leaving them with unanswered questions. Additionally, a few readers note that the examples provided sometimes lack depth and realism, and they would prefer more concrete and practical scenarios. Overall, "Stream Processing with Apache Flink" is highly recommended as a starting point for individuals new to Flink or those looking to reinforce their knowledge of its fundamentals. The book provides a solid understanding of Flink's architecture and offers practical guidance for programming and operating streaming applications.
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Pros
- Clear and concise explanations of stream processing concepts
- Includes sample code for better understanding
- Comprehensive coverage of Flink's architecture and features
- Useful for beginners and those looking to reinforce their knowledge
Cons
- Initial chapters lack in-depth explanations and examples
Product Price History
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Features & Benefits
- Authors contribute to and actively participate in the Apache Flink project
- Fabian Hueske is a cofounder and software engineer at data Artisans
- Vasia Kalavri uses Apache Flink extensively for research and teaching
- Both authors have made significant contributions to different aspects of Apache Flink
- Fabian Hueske holds a PhD in computer science from TU Berlin
- Vasia Kalavri is a postdoctoral fellow at ETH Zurich
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