The Cloud-Based Demand-Driven Supply Chain.

Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Chapter 1 Demand-Driven Forecasting in the Supply Chain -- 1. Data -- 2. Analytics -- 3. Collaboration-People and Processes Using a Collaborative Approach -- Chapter 2 Introduction to Cloud Computing -- 1. Virtualization -- 2. Big Data -- Software Tools and Components -- Cloud Characeristics -- Service Models -- Deployment Models -- Cloud Benefits -- Chapter 3 Migrating to the Cloud -- 1. Identify Business Reasons for Cloud -- 2. Perform Cloud Readiness Checks -- 3. Apply the R Framework -- 4. Identify Cloud Type, Cloud Service, Cloud Vendor -- 5. Migration Factory -- Chapter 4 Amazon Web Services and Microsoft Azure -- 1. AWS (Amazon Web Services) -- Compute -- Storage -- Databases -- Migration -- Networking -- Developer Tools -- Cloud Management Tools -- Security and Identity -- Analytics -- Artificial Intelligence (AI) -- Mobile Services -- Application Services -- Messaging Services -- Business Productivity -- Application and Desktop Streaming -- Internet of Things (IoT) -- Development for Games -- 2. Microsoft Azure -- Compute -- Networking -- Storage -- Web and Mobile -- Containers -- Databases -- Data and Artificial Intelligence -- Artificial Intelligence and Cognitive Services -- Internet of Things (IoT) -- Enterprise Integration -- Security and Identity Management -- Developer Tools -- Management and Monitoring -- Chapter 5 Case Studies of Demand-Driven Forecasting in AWS -- Case Study 1: News and Media Company -- Case Study 2: Oil and Energy Company -- Demand-Driven Forecasting -- Inventory Optimization -- Chapter 6 Summary -- Glossary -- References -- About the Author -- Index -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.