Cloud Data Modeling
May Sherry
In the rapidly evolving world of cloud computing, data is more valuable than ever, serving as the backbone of digital transformation for businesses across the globe. However, the complexity of cloud environments demands new approaches to data modeling—approaches that are scalable, flexible, and optimized for the unique characteristics of cloud platforms.
Cloud Data Modeling: Principles, Practices, and Practical Applications is your comprehensive guide to mastering data modeling in the cloud. This book takes you on a journey from the fundamentals of data modeling to advanced techniques specifically tailored for cloud architectures. Whether you’re an experienced data architect or a newcomer to the field, this book offers valuable insights into designing efficient, secure, and cost-effective data models for cloud-based systems.
Packed with practical examples, case studies, and best practices from industry leaders, this book not only teaches the theory behind cloud data modeling but also provides actionable guidance for real-world application. As cloud technology continues to evolve, staying ahead of the curve is essential. This book equips you with the knowledge and tools to build the future of data architecture.
Duration - 3h 50m.
Author - May Sherry.
Narrator - Sam Finley.
Published Date - Sunday, 19 January 2025.
Copyright - © 2025 May Sherry ©.
Location:
United States
Description:
In the rapidly evolving world of cloud computing, data is more valuable than ever, serving as the backbone of digital transformation for businesses across the globe. However, the complexity of cloud environments demands new approaches to data modeling—approaches that are scalable, flexible, and optimized for the unique characteristics of cloud platforms. Cloud Data Modeling: Principles, Practices, and Practical Applications is your comprehensive guide to mastering data modeling in the cloud. This book takes you on a journey from the fundamentals of data modeling to advanced techniques specifically tailored for cloud architectures. Whether you’re an experienced data architect or a newcomer to the field, this book offers valuable insights into designing efficient, secure, and cost-effective data models for cloud-based systems. Packed with practical examples, case studies, and best practices from industry leaders, this book not only teaches the theory behind cloud data modeling but also provides actionable guidance for real-world application. As cloud technology continues to evolve, staying ahead of the curve is essential. This book equips you with the knowledge and tools to build the future of data architecture. Duration - 3h 50m. Author - May Sherry. Narrator - Sam Finley. Published Date - Sunday, 19 January 2025. Copyright - © 2025 May Sherry ©.
Language:
English
Opening Credits
Duration:00:00:12
Introduction to cloud data modeling
Duration:00:11:20
Fundamental concepts in data modeling
Duration:00:20:51
Cloud architecture and data modeling
Duration:00:22:34
Designing for cloud native databases
Duration:00:25:36
Data warehousing in the cloud
Duration:00:27:25
Data lakes and hybrid data architectures
Duration:00:20:11
Big data and streaming data modeling
Duration:00:22:34
Data governance and compliance in the cloud
Duration:00:22:34
Performance optimization and cost management
Duration:00:19:14
Case studies and real world applications
Duration:00:15:33
Future trends in cloud data modeling
Duration:00:17:49
Conclusion The evolving landscape of cloud data modeling
Duration:00:04:16
Ending Credits
Duration:00:00:13