Building an Event-Driven Data Mesh (Third Early Release)

The exponential growth of data combined with the need to derive real- business value is a critical issue today. An event-driven data mesh can power real- 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 examples of event and event stream design, including recommendations

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 state, delta, and command type events, including how these choices will impact your data products

Methods for handling events at scale, including multitenancy

Best practices for privacy and regulatory compliance

Advice on handling eventual consistency and building multitenancy solutions and asynchronous communication

Practical tips for iteratively building your own event-driven data mesh, including hurdles youa??ll encounter, 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