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Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.
As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them.
Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details.
Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required.
Andrew Psaltis is a software engineer focused on massively scalable real-time analytics.
The definitive book if you want to master the architecture of an enterprise-grade streaming application.
A thorough explanation and examination of the different systems, strategies, and tools for streaming data implementations.
A well-structured way to learn about streaming data and how to put it into practice in modern real-time systems.
This book is all you need to understand what streaming is all about!
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