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Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Fabian Hueske and Vasia Kalavri are experienced contributors and advocates of the Apache Flink project.
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Item #: 20020583

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Item #: 20020583

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

Comprehensive Fundamentals
This book provides an in-depth understanding of stream processing fundamentals, catering to both beginners and experienced developers seeking to enhance their knowledge of Apache Flink.
Practical Implementation
It offers practical guidance on implementing streaming applications, helping readers bridge the gap between theory and real-world application effortlessly.
Operational Insights
This edition includes detailed insights into the operation of streaming applications, equipping users with the skills needed for efficient management and optimization of Flink deployments.

Product Details

Learn the fundamentals of stream processing with Apache Flink. Get insights on implementation and operation of streaming applications. Available at Ubuy Fiji.
  • 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?

Suitable For
  • Data Engineers

    Perfect for data engineers looking to enhance their skills in stream processing using Apache Flink effectively.

  • Software Developers

    Great resource for software developers interested in building robust streaming applications and improving data processing efficiency.

  • Tech Enthusiasts

    Ideal for tech enthusiasts eager to learn about big data technologies, specifically Apache Flink's capabilities and implementations.

Not Suitable For
  • 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

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