Building an Event-Driven Data Mesh: Patterns for Designing & Building Event-Driven Architectures (Paperback)

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

數據的指數級增長以及實時獲取業務價值的需求，是當今一個關鍵問題。事件驅動的數據網格可以從一組數據產品流中提供實時操作和分析工作負載。本書通過實際的現實世界示例，向您展示如何成功設計和構建事件驅動的數據網格。

《構建事件驅動的數據網格》提供：

- 逐步構建自己的事件驅動數據網格的實用技巧，包括可能遇到的障礙、解決方案以及如何盡快獲得真正的價值
- 在將組織從單體架構轉向事件驅動架構時可能遇到的問題的解決方案
- 清楚了解事件與系統以及同一流和跨流中的其他事件之間的關係
- 對事件建模選項（如事實、增量和命令類型事件）的實際考慮，包括這些選擇對數據產品的影響
- 處理大規模事件、隱私和合規性的最佳實踐
- 異步通信和處理最終一致性的建議