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Building an Event-Driven Data Mesh
Building an Event-Driven Data Mesh
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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 hu…
  • Leidėjas:
  • ISBN-10: 1098127609
  • ISBN-13: 9781098127602
  • Formatas: 17.8 x 23.1 x 1.5 cm, minkšti viršeliai
  • Kalba: Anglų

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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
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  • Autorius: Adam Bellemare
  • Leidėjas:
  • ISBN-10: 1098127609
  • ISBN-13: 9781098127602
  • Formatas: 17.8 x 23.1 x 1.5 cm, minkšti viršeliai
  • Kalba: Anglų

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

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