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- Author: Adam Bellemare
- Publisher: O'Reilly Media
- ISBN-10: 1098127609
- ISBN-13: 9781098127602
- Format: 17.8 x 23.1 x 1.5 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.17:04:25
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Adam Bellemare
- Publisher: O'Reilly Media
- ISBN-10: 1098127609
- ISBN-13: 9781098127602
- Format: 17.8 x 23.1 x 1.5 cm, softcover
- Language: English English
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
Reviews