Event Streams in Action

DESCRIPTION

Event Streams in Action is a foundational book introducing the ULP

paradigm and presenting techniques to use it effectively in data-rich

environments. The book begins with an architectural overview,

illustrating how ULP addresses the thorny issues associated with

processing data from multiple sources. It then guides the reader

through examples using the unified log technologies Apache Kafka

and Amazon Kinesis and a variety of stream processing frameworks

and analytics databases.

 

Readers learn to aggregate events from

multiple sources, store them in a unified log, and build data processing

applications on the resulting event streams. As readers progress

through the book, they learn how to validate, filter, enrich, and store

event streams, master key stream processing approaches, and explore

important patterns like the lambda architecture, stream aggregation,

and event re-processing. The book also dives into the methods and

tools usable for event modelling and event analytics, along with

scaling, resiliency, and advanced stream patterns.



KEY FEATURES

• Building data-driven applications that are easier to design,

deploy, and maintain

• Uses real-world examples and techniques

• Full of figures and diagrams

• Hands-on code samples and walkthroughs



This book assumes that the reader has written some Java code. Some

Scala or Python experience is helpful but not required.



ABOUT THE TECHNOLOGY

Unified Log Processing is a coherent data processing architecture that

combines batch and near-real time stream data, event logging and

aggregation, and data processing into a unified event stream. By efficiently

creating a single log of events from multiple data sources, Unified Log

Processing makes it possible to design large-scale data-driven applications

that are easier to design, deploy, and maintain.



AUTHOR BIO

Alexander Dean is co-founder and technical lead of Snowplow Analytics,

an open source event processing and analytics platform.