Preface
The ability to handle and process continuous streams of data provides a considerable competitive edge. As a result, being able to take advantage of streaming data is beginning to be seen as an essential part of building a data-driven organization.
The expanding use of streaming data raises the question of how best to design systems to handle it effectively, from the ingestion from multiple sources, through a variety of uses, including streaming analytics and the question of persistence.
Emerging best practices for the design of streaming architectures may surprise you—the scope of powerful design for streaming systems extends far beyond specific real-time or near–real time applications. New approaches to streaming designs can greatly improve the efficiency of your overall organization.
Who Should Use This Book
If you already use streaming data and want to design an architecture for best performance, or if you are just starting to explore the value of streaming data, this book should be helpful. You’ll also find real-world use cases that help you see how to put these approaches to work in several different settings. For developers, you’ll also find links to sample programs.
This book is designed for both nontechnical and technical audiences, including business analysts, architects, team leaders, data scientists, and developers.
What Is Covered
In this book, we:
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Explain how to recognize opportunities where streaming data may be useful
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Show how to design streaming ...