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Published by Apress, Incorporated, 2018
ISBN 10: 1484236149 ISBN 13: 9781484236147
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Published by Apress, Apress Jun 2018, 2018
ISBN 10: 1484236149 ISBN 13: 9781484236147
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Taschenbuch. Condition: Neu. Neuware -Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 456 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 456 pp. Englisch.
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484236149 ISBN 13: 9781484236147
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guides cloud data architects in designing a solution that leverages the Azure data platformCovers new technologies that make processes less costlyShows you how to use the cloud to accelerate the business, transitioning from.
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484236149 ISBN 13: 9781484236147
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Taschenbuch. Condition: Neu. Cloud Data Design, Orchestration, and Management Using Microsoft Azure | Master and Design a Solution Leveraging the Azure Data Platform | Roberto Freato (u. a.) | Taschenbuch | xviii | Englisch | 2018 | Apress | EAN 9781484236147 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.