Building an Event-Driven Data Mesh by Adam Bellemare, Paperback, 9781098127602 | Buy online at The Nile
Building an Event-Driven Data Mesh by Adam Bellemare - ISBN: 9781098127602
Paperback
Real-time insights from data streams: Build your event-driven data mesh.

Building an Event-Driven Data Mesh

Patterns for Designing & Building Event-Driven Architectures

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$129.63

  • Paperback

    275 pages

  • Release Date

    30 April 2023

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Summary

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh.

Building an Event-Driven Data Mesh provides:

  • Practical tips for iteratively building your own event-driven d…

Book Details

ISBN-13:9781098127602
ISBN-10:1098127609
Author:Adam Bellemare
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:275
Release Date:30 April 2023
Weight:458g
Dimensions:178mm x 232mm
A-Format
B-Format
Building an Event-Driven Data Mesh by Adam Bellemare - ISBN: 9781098127602
178 × 232 mm
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A4
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About The Author

Adam Bellemare

Adam Bellemare is a Staff Technologist, Office of the CTO at Confluent. Previously, he was Staff Engineer, Data Platform at Shopify, and prior to that, he was at Flipp from 2014, first as a Senior Developer, followed by a role as Staff. He has also held positions in embedded software development and quality assurance. His expertise includes: Devops (Kafka, Spark, Mesos, Zookeeper Clusters; Programmatic Building, scaling, destroying); Technical Leadership (Bringing Avro formatting to our data end-to-end, championing Kafka as the event-driven microservice bus, prototyping JRuby, Scala and Java Kafka clients and focusing on removing technical impediments to allow for product delivery); Software Development (Building microservices in Java and Scala using Spark and Kafka libraries); and Data Engineering (Reshaping the way that behavioral data is collected from user devices and shared with our Machine Learning, Billing, and Analytics teams). He is the author of Building Event-Driven Microservices (2020) with O’Reilly.

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