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Grokking Streaming Systems: Real-time event processing (Paperback)
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Grokking Streaming Systems: Real-time event processing (Paperback)
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"A must-read for engineers and solution architects who work with
streams on a regular basis." - Damian Esteban Every action by a
user or a system process generates valuable data for your
application or organization. Streaming systems capture and process
these events, turning disconnected bits into coherent, useful
information sources. Grokking Streaming Systems is a simple guide
to the complex concepts you need to start building your own
streaming systems. In this friendly, framework-agnostic tutorial,
you'll learn how to handle real-time events and how to design and
implement a system that's a perfect fit for your needs. Each new
idea is carefully explained with diagrams, clear examples, and fun
dialogue between perplexed personalities! about the technology Many
modern organizations rely on real-time event data to ensure top
performance. In its raw state, most event data is unfiltered and
hard to analyze. Streaming systems address this problem by
processing event data so it can be used to create alerts, analysis
dashboards, and automated responses, and to trigger other actions
within a system. From live financial information to monitoring for
signs of a DDoS attack and blocking rogue agents, streaming systems
provide a big boost to the health, security, and flexibility of
your applications. about the book Grokking Streaming Systems helps
you unravel what streaming systems are, how they work, and whether
they're right for your business. Written to be tool-agnostic,
you'll be able to apply what you learn no matter which framework
you choose. You'll start with the key concepts and then work your
way through increasingly complex examples, including tracking a
real-time count of IoT sensor events and detecting fraudulent
credit card transactions in real-time. You'll even be able to
easily experiment with your own streaming system, by downloading
the custom-built and super-simplified streaming framework designed
for this book. By the time you're done, you'll be able to easily
assess the capabilities of streaming frameworks, and solve common
challenges that arise when building streaming systems. what's
inside - Implement and troubleshoot streaming systems - Design
streaming systems for complex functionalities - Assess
parallelization requirements - Spot networking bottlenecks and
resolve back pressures - Group data for high-performance systems -
Handle delayed events in real-time systems about the reader For
readers interested in data processing. Examples in Java. about the
author Josh Fischer and Ning Wang are both Apache Committers, and
part of the project management committee for the Apache Heron
distributed stream processing engine. Josh is a software engineer
at Scotcro and has worked with moving large datasets in real time
for organizations such as 1904labs and Bayer. Ning is a software
engineer at Amplitude building real-time data pipelines. He was a
key contributor of Apache Heron in Twitter's Real-time Compute
team.
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