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Business intelligence and the cloud : strategic implementation guide /
How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull togethe...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Gendron, Michael S., |d 1957- | |
| 245 | 1 | 0 | |a Business intelligence and the cloud : |b strategic implementation guide / |c Michael S. Gendron. |
| 264 | 1 | |a Hoboken, New Jersey : |b Wiley, |c [2014] | |
| 264 | 4 | |c Ã2014 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Business Intelligence and the Cloud: Strategic Implementation Guide; Copyright; Contents; Foreword; Preface; Acknowledgments; Part 1: The Foundation; Chapter 1: A History of How We Got to Cloud Computing; The Rise of Cloud Computing; Computing Hardware; Networking and HTML; Bandwidth; Computing Platforms; Cloud Computing; Conclusion; Notes; Chapter 2: Characteristics and Service Models; Introductory Concepts; Layers of Abstraction; Hosted Applications versus Cloud Computing; Corporate LAN-Based versus Cloud-Based Applications; A Cloud Implementation; Defining Cloud Computing. | |
| 505 | 8 | |a Dimension One: Essential CharacteristicsDimension Two: Service Models; Dimension Three: Deployment Models; Conclusion; Notes; Chapter 3: Deployment Models; Important Considerations; Public and Private Clouds; Examples of Cloud Computing; An IaaS Example: Netflix Moves to Amazon Web Services; A PaaS Example: Sopima Moves to Microsoft Azure; A SaaS Example: Dunkin' Donuts Uses Salesforce; Private Clouds in Context; Puma and Eucalyptus: A Private Cloud Solution; Hybrid Clouds; Zynga: A Hybrid Cloud Example; Community Clouds; Conclusion; Notes; Part 2: Cloud Economics. | |
| 505 | 8 | |a Chapter 4: Strategic Measurement: TCO, ROI, OPEX/CAPEXTotal Cost of Ownership; How TCO Changes in the Cloud; Build versus Buy; Financial Measurements; Capital Expense (CAPEX) versus Operational Expense (OPEX); Return on Investment (ROI); Conclusion; Notes; Chapter 5: Cloud Adoption: Are Your Organization and Its Stakeholders Ready to Adopt Cloud Computing?; Regulatory Influence; The Effects on Your Organization; The Non-IT Staff; The IT Department; The Effects on External Stakeholders; The Need for Increased Technology; Changes in Payment Models-Changing Costs; The Training of Staff. | |
| 505 | 8 | |a Requests for Increased InnovationConclusion; Notes; Chapter 6: Service Level Agreements; The Traditional or Typical Telecom SLA QOS; Introducing the Cloud SLA; SLA Types; Cloud Use Cases; SLA by Type of Service and Deployment; Anatomy of a Standardized SLA; Negotiating the Cloud SLA; Step 1: Understand Roles and Responsibilities; Step 2: Evaluate Data Policies and Business Policies; Step 3: Understand Service and Deployment Model Differences; Step 4: Identify Critical Performance Objectives; Step 5: Evaluate Security and Privacy Requirements; Step 6: Identify Service Management Requirements. | |
| 505 | 8 | |a Step 7: Prepare for Service Failure ManagementStep 8: Understand the Disaster Recovery Plan; Step 9: Develop an Effective Management Process; Step 10: Understand the Exit Process; SLA Expectations; Conclusion; Notes; Part 3: Business Intelligence and the Cloud; Chapter 7: Business Intelligence: The Interaction of Business Intelligence and Cloud Computing; BI Strategy; Objectives for a BI Project; The Analytics Cycle; Data Collection; Data Analysis; Data Distribution; Conclusion; Notes; Chapter 8: Big Data's Effects on BI Efforts in the Cloud; Defining Big Data; High Volume; High Velocity. | |
| 505 | 8 | |a High Variety. | |
| 520 | |a How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull together what industry experts are saying in order to create a unified definition. Once this foundation is created-assisting the reader's understanding of what cloud computing is-the discussion moves to getting business benefits from cloud computing. Lastly, the discussion focuses on examples of cloud computing, public clouds, private clouds, and virtualization. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Information technology |x Management. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Business intelligence. | |
| 650 | 6 | |a Technologie de l'information |x Gestion. | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Business intelligence. |2 fast |0 (OCoLC)fst00842723 | |
| 650 | 7 | |a Cloud computing. |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Information technology |x Management. |2 fast |0 (OCoLC)fst00973112 | |
| 776 | 0 | 8 | |i Print version: |a Gendron, Michael S., 1957- |t Business intelligence and the cloud. |d Hoboken, New Jersey : John Wiley & Sons, Inc., [2014] |z 9781118631720 |w (DLC) 2013044543 |
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