Building an Event-Driven Data Mesh : Patterns for Designing & Building Event-Driven Architectures - Adam Bellemare

Building an Event-Driven Data Mesh

Patterns for Designing & Building Event-Driven Architectures

By: Adam Bellemare

eText | 4 April 2023 | Edition Number 1

At a Glance

eText


$64.89

or 4 interest-free payments of $16.22 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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 data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible
  • Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures
  • A clear understanding of how events relate to systems and other events in the same stream and across streams
  • A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products
  • Best practices for handling events at scale, privacy, and regulatory compliance
  • Advice on asynchronous communication and handling eventual consistency
on
Desktop
Tablet
Mobile

More in Parallel Processing

Kubernetes Handbook - Davis Miller

eBOOK