Cloud Data Design, Orchestration, and Management Using Microsoft Azure
Language: English
Published by APress, US, 2018
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 50.01
Quantity: 8 available
Add to basketItem description from seller
Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives.This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities.What You'll LearnKnow the Azure services useful to implement a data solutionMatch the products/services used to your specific needsFit relational databases efficiently into data designUnderstand how to work with any type of data using Azure hybrid and public cloud featuresUse non-relational alternatives to solve even complex requirementsOrchestrate data movement using Azure servicesApproach analysis and manipulation according to the data life cycleWho This Book Is ForSoftware developers and professionals with a good data design background and basic development skills who want to learn how to implement a solution using Azure data services.…
Seller Inventory # LU-9781484236147
- Title
- Cloud Data Design, Orchestration, and Management Using Microsoft Azure
- Author
- Roberto Freato, Francesco Diaz
- Publisher
- APress, US
- Publication year
- 2018
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1484236149
- ISBN 13
- 9781484236147
- Know the Azure services useful to implement a data solution
- Match the products/services used to your specific needs
- Fit relational databases efficiently into data design
- Understand how to work with any type of data using Azure hybrid and public cloud features
- Use non-relational alternatives to solve even complex requirements
- Orchestrate data movement using Azure services
- Approach analysis and manipulation according to the data life cycle
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