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Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
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Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
Design a next-gen data architecture that takes into account the scale you need for your organization.
Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
物品 #: 77635042

Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric

物品 #: 77635042

HKD 468

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What Stands Out

Scalable Architecture
Designed to handle vast amounts of data efficiently, this book guides users through implementing modern data structures that can grow seamlessly, addressing scalability challenges in diverse environments.
Data Mesh Insight
Explores the innovative concept of data mesh, empowering organizations to decentralize data ownership and facilitate cross-functional teamwork, ultimately improving data accessibility and collaboration.
Expert Guidance
Authored by industry leaders, this edition delivers practical strategies and real-world examples, ensuring readers gain essential knowledge and actionable insights for navigating contemporary data architecture challenges.

產品詳情

Discover the power of Data Mesh and Data Fabric with the 2nd edition of Data Management at Scale. Get insights on efficient data management at Ubuy 香港.
Publisher O'Reilly Media
Publication date May 16, 2023
Edition 2nd
Language English
Print length 409 pages
ISBN-10 1098138864
ISBN-13 978-1098138868
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 0.9 x 9.19 inches (17.8 x 2.3 x 23.3 cm)

Who Should Buy?

Suitable For
  • Data Architects

    Ideal for professionals designing scalable data architectures, particularly those interested in Data Mesh and Data Fabric methodologies.

  • IT Managers

    Helpful for IT managers seeking strategies to improve data governance and management across their organizational structure.

  • Data Analysts

    Beneficial for data analysts who want to understand advanced approaches for data integration and accessibility.

Not Suitable For
  • Beginner Users

    Not suitable for beginners who lack foundational knowledge in data architecture and management principles.

產品敘述

Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric

About This Item

Introducing "Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition" - the ultimate guide to effectively managing large-scale data in the modern e-commerce landscape. In today's digital world, data plays a crucial role in business success. As an e-commerce business, it is imperative to have a data management strategy that can handle the vast amount of data generated from various sources.

With this book, you will learn how to implement a modern data architecture using data mesh and data fabric concepts, ensuring seamless scalability and efficient data management. This comprehensive guide covers a wide range of topics, including e-commerce data management, scalable data architecture, data governance, data warehousing, data analytics, data integration, and cloud data architecture. It provides you with the latest strategies and best practices needed to navigate the complex world of data management in an e-commerce environment. With the rise of technology and digital platforms, e-commerce businesses face unique challenges in managing and utilizing data effectively. This book takes you through the process of modernizing your data architecture, allowing you to harness the power of data for business growth and success.

Whether you are a data professional, a business analyst, or an e-commerce entrepreneur, this book provides valuable insights and practical solutions to help you overcome data management challenges. In "Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition," you will discover the benefits of implementing data mesh and data fabric technologies in your e-commerce business. These solutions provide scalability, integration, and security, ensuring that your data is managed efficiently and securely across different systems and platforms. The author, a leading expert in data management, shares real-world examples and case studies, illustrating how organizations have successfully implemented data mesh and data fabric architectures to achieve their business goals. You will also learn about the latest data architecture frameworks, tools, and trends that can further enhance your data management capabilities. Stay ahead of the competition and optimize your e-commerce business with efficient data management strategies.

Order your copy of "Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition" today and take a step towards unlocking the full potential of your data-driven e-commerce enterprise.

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Data Modeling & Design Editorial Review

The "Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition" seems to be a book that is well-prepared and offers a good balance between theory and practical examples. One reviewer appreciated the diagrams, notes, and references to detailed literature in the book. However, another user felt that the content was more of a biased intervention concept with academic contexts, presenting poorly structured information mixed with hyped concepts. They mentioned that the author did not introduce new concepts but rather compiled existing ones from the internet. Overall, while the book seems to have valuable content with a mix of opinions from users, it may not be suitable for everyone's needs, especially for those looking for more innovative and engaging information. **

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優點

  • Well-prepared and balanced content
  • Useful diagrams, notes, and references

缺點

  • Biased intervention concept

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HKD 468

現在訂購，約可在下列時間收貨： 星期四, 十月 29

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特色和優勢

  • Learn to build a modern data architecture with scalability
  • Examine data management trends and regulatory requirements
  • Explore data governance, management, and security
  • Master the domain-driven design and self-service data marketplaces
  • Importance of metadata and building data products

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