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Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
88% of respondents would recommend this to a friend
KGS 5377
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Design a next-gen data architecture that takes into account the scale you need for your organization.
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Информация о продукте
| 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?
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Data Architects
Ideal for professionals designing scalable data architectures, particularly those interested in Data Mesh and Data Fabric methodologies.
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IT Managers
Helpful for IT managers seeking strategies to improve data governance and management across their organizational structure.
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Data Analysts
Beneficial for data analysts who want to understand advanced approaches for data integration and accessibility.
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Beginner Users
Not suitable for beginners who lack foundational knowledge in data architecture and management principles.
ОПИСАНИЕ ТОВАРА
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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Плюсы
- Well-prepared and balanced content
- Useful diagrams, notes, and references
Минусы
- Biased intervention concept
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KGS 5377
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Особенности и преимущества
- 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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