Making Sense of Stream Processing

Making Sense of Stream Processing

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What is stream processing, and how can event streaming make applications more scalable, reliable, and maintainable?

Also known as event stream processing (ESP), real-time data streaming, and complex event processing (CEP), stream processing is the continuous processing of data directly as it is produced or received. As more organizations turn to real-time data streams, businesses from finance, government, and transportation, to travel, and health care are adopting event driven architecture to power their businesses at scale.

In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex. Structuring data as a stream of events isn’t new, but with the advent of open source projects like Apache Kafka and others, stream processing is finally coming of age.

Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust.

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