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44312974
Data Modeling for Azure Data Services: Implement professional data design and structures in Azure
Nº de artículo:
44312974
GTQ 610
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What Stands Out
Professional Design
Offers best practices for professional data modeling in Azure, ensuring structured and scalable solutions that meet enterprise-level requirements effectively.
Comprehensive Guidance
Provides in-depth instructions on using Azure Data Services, making it easier for users to navigate through complex data modeling processes seamlessly.
Optimized Performance
Focuses on performance optimization techniques, helping users enhance data retrieval speed and efficiency, resulting in faster insights and improved decision-making.
Detalles de producto
| Publisher | Packt Publishing |
| Publication date | July 30, 2021 |
| Language | English |
| Print length | 428 pages |
| ISBN-10 | 1801077347 |
| ISBN-13 | 978-1801077347 |
| Item Weight | 1.61 pounds (730 grams) |
| Dimensions | 7.5 x 0.97 x 9.25 inches (19.1 x 2.5 x 23.5 cm) |
Who Should Buy?
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Data Architects
Ideal for professionals designing robust data structures to enhance data management in Azure environments.
-
Cloud Developers
Great for developers looking to implement effective data solutions in Microsoft Azure for better application performance.
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Business Analysts
Beneficial for analysts aiming to optimize data analysis and reporting by utilizing structured data in Azure.
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Beginner Users
Not suitable for those without prior knowledge of Azure or data modeling concepts.
DESCRIPCIÓN DEL PRODUCTO
Data Modeling for Azure Data Services: Implement professional data design and structures in Azure
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Data Modeling & Design Editorial Review
Data Modeling for Azure Data Services: Implement professional data design and structures in Azure is a comprehensive guide for database design, focusing on Azure's platforms. The book effectively covers various critical topics such as logical modeling, SQL and NoSQL distinctions, and significant aspects like data warehouses and data lakes. Readers appreciate its depth, particularly in data modeling for analytics, where it explores methodologies like star schema and data vaults. Moreover, easy-to-follow exercises and a companion GitHub repository enhance practical learning, making it suitable for both beginners and advanced users aiming to transition to Azure's cloud solutions. However, some users noted that the NoSQL section could have included more detailed insights.
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ventajas
- Comprehensive coverage of database design concepts
- In-depth exploration of NoSQL and SQL architectures
- Includes practical exercises throughout the book
- Helpful tips for cost-effective database implementation
- Direct links to Microsoft documentation in eBook
Contras
- Some sections may lack depth on specific topics
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