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 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 youâ??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