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