Designing Data-Intensive Applications
Martin Kleppmann's deep dive into the ideas behind reliable, scalable, and maintainable data systems, including replication, partitioning, and stream processing.
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Fundamentals of Stream Processing: Application Design, Systems, and Analytics cambridge.org
This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field.
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Streaming Data manning.com
Streaming Data introduces the concepts and requirements of streaming and real-time data systems.
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Effective Data Science Infrastructure manning.com
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Designing Cloud Data Platforms manning.com
Early Access
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Stream Data Processing: A Quality of Service Perspective springer.com
Presents a new paradigm suitable for stream and complex event processing.
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Reactive Data Handling manning.com
Reactive Data Handling is a collection of five hand-picked chapters, selected by Manuel Bernhardt, that introduce you to building reactive applications capable of handling real-time processing with large data loads--free eBook!
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