Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing
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Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

by Tyler Akidau, Slava Chernyak, Reuven Lax

Computers Data Processing
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Streaming Systems by Tyler Akidau, Slava Chernyak, and Reuven Lax explores the fundamentals of large-scale data processing. This book details the what, where, when, and how of managing continuous data streams in distributed systems, offering essential guidance for engineers tackling big data challenges.

About This Book

Streaming Systems provides a foundational understanding of large-scale data processing technologies. It covers the core concepts necessary for designing and implementing systems that handle continuous data flows in real-time.

The book delves into the principles behind streaming architectures, explaining how to process vast amounts of data across distributed environments. Authors Tyler Akidau, Slava Chernyak, and Reuven Lax draw from practical experiences to outline key strategies.

Readers will gain insights into the timing, placement, and methods for effective data stream management. This resource is ideal for engineers and developers working with big data infrastructures.

Through clear explanations, the text addresses challenges in scalability and reliability for streaming applications. It serves as a practical reference for building robust data processing pipelines.

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