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87897152
Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
86% of respondents would recommend this to a friend
Nº de artículo:
87897152
NIO 2554
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With this book, you'll gain a working understanding of several data architectures and determine the most appropriate architecture for your needs.
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What Stands Out
Comprehensive Analysis
This book offers an in-depth comparison of modern data architectures, equipping readers with the insights needed to choose the right solution for their organization’s data challenges.
Expert Guidance
Authored by industry experts, it provides practical advice and strategies to navigate complex data environments, ensuring users can implement effective data solutions tailored to their needs.
Real-World Applications
Includes case studies and real-world examples to illustrate key concepts, making it easier for readers to understand how to apply data architecture principles in their own organizations.
Detalles de producto
- Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: Gain a working understanding of several data architectures Learn the strengths and weaknesses of each approach Distinguish data architecture theory from reality Pick the best architecture for your use case Understand the differences between data warehouses and data lakes Learn common data architecture concepts to help you build better solutions Explore the historical evolution and characteristics of data architectures Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come.
| Publisher | O'Reilly Media |
| Publication date | March 12, 2024 |
| Edition | 1st |
| Language | English |
| Print length | 275 pages |
| ISBN-10 | 1098150767 |
| ISBN-13 | 978-1098150761 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.5 x 9 inches (17.8 x 1.3 x 22.9 cm) |
Who Should Buy?
-
Data Professionals
Ideal for data architects and engineers who need guidance on modern data infrastructure options and architectures.
-
Business Analysts
Beneficial for analysts seeking to understand data management frameworks to make informed decisions on data strategies.
-
Tech Executives
Useful for decision-makers aiming to align their data strategy with business goals in the evolving tech landscape.
-
Beginners
Not suitable for individuals with no prior knowledge of data architecture or foundational concepts in data management.
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características y beneficios
- Gain a thorough understanding of modern data architectures.
- Learn the strengths and weaknesses of data warehouse alternatives.
- Distinguish between data architecture theory and reality.
- Identify the best architecture tailored for your specific use case.
- Explore historical evolution and key concepts of data architectures.
- Use this resource to enhance your data solutions for years to come.
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Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.