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Streaming Data Mesh - by  Hubert Dulay & Stephen Mooney (Paperback) - 1 of 1

Streaming Data Mesh - by Hubert Dulay & Stephen Mooney (Paperback)

$65.99

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About this item

Highlights

  • Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster.
  • Author(s): Hubert Dulay & Stephen Mooney
  • 223 Pages
  • Computers + Internet,

Description



About the Book



Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data.



Book Synopsis



Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services.

Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly.

With this book, you will:

  • Design a streaming data mesh using Kafka
  • Learn how to identify a domain
  • Build your first data product using self-service tools
  • Apply data governance to the data products you create
  • Learn the differences between synchronous and asynchronous data services
  • Implement self-services that support decentralized data
Dimensions (Overall): 9.1 Inches (H) x 6.8 Inches (W) x .5 Inches (D)
Weight: 1.0 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 223
Genre: Computers + Internet
Publisher: O'Reilly Media
Theme: General
Format: Paperback
Author: Hubert Dulay & Stephen Mooney
Language: English
Street Date: June 20, 2023
TCIN: 1011991604
UPC: 9781098130725
Item Number (DPCI): 247-24-6330
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.5 inches length x 6.8 inches width x 9.1 inches height
Estimated ship weight: 1 pounds
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book focuses on implementing streaming data meshes to decentralize data management and improve real-time data services.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What tools are discussed for designing a data mesh?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book discusses using Kafka as a primary tool for designing a streaming data mesh.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What governance aspects are covered in the book?

submitted by AI Shopping Assistant - 2 days ago
  • A: It covers applying data governance to the data products created within a streaming data mesh framework.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: Who are the intended readers of this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book is aimed at data engineers, architects, data product owners, and professionals in DevOps and MLOps roles.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: How does the book differentiate between data services?

submitted by AI Shopping Assistant - 2 days ago
  • A: The authors explain the differences between synchronous and asynchronous data services in the context of data meshes.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

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