Alexander Dean
Event Streams in Action: Real-time event systems with Kafka and Kinesis
Event Streams in Action: Real-time event systems with Kafka and Kinesis
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Excellent- More about Event Streams in Action: Real-time event systems with Kafka and Kinesis
Format: Paperback / softback
Length: 344 pages
Publication date: 31 May 2019
Publisher: Manning Publications
Event Streams in Action is a comprehensive guide that delves into the realm of unified log processing (ULP) and presents effective techniques for leveraging it in data-rich environments. The book begins with an architectural overview, illustrating how ULP addresses the challenges associated with processing data from diverse sources. It then guides readers through practical examples using unified log technologies such as Apache Kafka and Amazon Kinesis, along with a range of stream processing frameworks and analytics databases.
As readers progress through the book, they acquire the skills to aggregate events from multiple sources, store them in a unified log, and develop data processing applications on the resulting event streams. The book further explores key concepts such as validating, filtering, enriching, and storing event streams, mastering stream processing approaches, and examining important patterns like the lambda architecture, stream aggregation, and event re-processing. Additionally, the book delves into methods and tools for event modeling and event analytics, along with considerations for scaling, resilience, and advanced stream patterns.
This book assumes a basic understanding of Java or a similar programming language, although some experience with Scala or Python can be beneficial. Unified Log Processing is a coherent data processing architecture that seamlessly integrates batch and near-real-time stream data, event logging, and aggregation, resulting in a unified event stream. By efficiently consolidating events from multiple data sources into a single log, ULP enables the development of large-scale data-driven applications that can handle complex processing requirements with ease.
Whether you are a software engineer, data analyst, or business professional seeking to optimize your data processing operations, Event Streams in Action provides valuable insights and practical techniques to help you achieve your goals.
Weight: 662g
Dimension: 187 x 233 x 19 (mm)
ISBN-13: 9781617292347
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