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Databases & Big Data - Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Description

Book Synopsis: Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing.

Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them.

Learn concepts and challenges of distributed stateful stream processing

Explore Flink’s system architecture, including its event-time processing mode and fault-tolerance model

Understand the fundamentals and building blocks of the DataStream API, including its time-based and stateful operators

Read data from and write data to external systems with exactly-once consistency

Deploy and configure Flink clusters

Operate continuously running streaming applications

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Details

Are you looking to harness the power of stream processing for your business? Look no further! Introducing "Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications" - the ultimate guide to getting started with Apache Flink. Developed by industry experts, this practical book takes you through the fundamental concepts of parallel stream processing and shows you how it can revolutionize your data processing workflows.

Unlike traditional batch data processing, Apache Flink offers real-time processing capabilities that are perfect for a wide range of use cases. Whether you need low-latency ETL, streaming analytics, real-time dashboards, fraud detection, anomaly detection, or alerting, Apache Flink has got you covered. With this book, you'll learn how to implement scalable streaming applications using Flink's DataStream API and master the art of continuously running and maintaining these applications in operational environments.

One of the key advantages of Apache Flink is its ability to process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as they are generated. By understanding the concepts and challenges of distributed stateful stream processing, you'll be able to leverage Flink's system architecture, event-time processing mode, and fault-tolerance model to build robust and scalable applications.

Additionally, the book covers the fundamentals and building blocks of the DataStream API, including its time-based and stateful operators. You'll also learn how to read data from and write data to external systems with exactly-once consistency, ensuring the accuracy and reliability of your data pipelines. Furthermore, the book provides insights on deploying and configuring Flink clusters, allowing you to create optimized environments for your stream processing needs.

Don't miss out on this opportunity to become a stream processing expert with Apache Flink. Order your copy of "Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications" today and unlock the limitless potential of real-time data processing.

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Disclosure: I get commissions for purchases made through links in this website