Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1439
Title: | Cloud Data Design, Orchestration, and Management Using Microsoft Azure |
Other Titles: | Master and Design a Solution Leveraging the Azure Data Platform / |
Authors: | Diaz, Francesco. ;;Freato, Roberto. ; |
subject: | Computer Science;Computers;Computer Science;Microsoft and .NET. ;;Open Source. ;;Computing Methodologies. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | 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 Learn: 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9781484236147. ; QA76 |
URI: | http://localhost/handle/Hannan/1439 |
ISBN: | 9781484236154 ; 9781484236147 (print) ; |
More Information: | XVIII, 438 p. 302 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484236147.pdf | 21.06 MB | Adobe PDF | Preview File |
Title: | Cloud Data Design, Orchestration, and Management Using Microsoft Azure |
Other Titles: | Master and Design a Solution Leveraging the Azure Data Platform / |
Authors: | Diaz, Francesco. ;;Freato, Roberto. ; |
subject: | Computer Science;Computers;Computer Science;Microsoft and .NET. ;;Open Source. ;;Computing Methodologies. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | 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 Learn: 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9781484236147. ; QA76 |
URI: | http://localhost/handle/Hannan/1439 |
ISBN: | 9781484236154 ; 9781484236147 (print) ; |
More Information: | XVIII, 438 p. 302 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484236147.pdf | 21.06 MB | Adobe PDF | Preview File |
Title: | Cloud Data Design, Orchestration, and Management Using Microsoft Azure |
Other Titles: | Master and Design a Solution Leveraging the Azure Data Platform / |
Authors: | Diaz, Francesco. ;;Freato, Roberto. ; |
subject: | Computer Science;Computers;Computer Science;Microsoft and .NET. ;;Open Source. ;;Computing Methodologies. ; |
Year: | 2018 |
place: | Berkeley, CA : |
Publisher: | Apress : Imprint: Apress, |
Abstract: | 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 Learn: 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9781484236147. ; QA76 |
URI: | http://localhost/handle/Hannan/1439 |
ISBN: | 9781484236154 ; 9781484236147 (print) ; |
More Information: | XVIII, 438 p. 302 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484236147.pdf | 21.06 MB | Adobe PDF | Preview File |