Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Gendron, Michael S. (1957-....)
Titre(s) : Business intelligence and the cloud [Texte électronique] : strategic implementation guide / Michael S. Gendron
Publication : Hoboken, New Jersey : Wiley, [2014]
Description matérielle : 1 online resource
Collection : Wiley & SAS business series
Note(s) : Includes index. - Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher.
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
Sujet(s) : Technologie de l'information -- Gestion
Informatique dans les nuages
Espionnage industriel
Affaires
Identifiants, prix et caractéristiques : ISBN 9781118915240
Identifiant de la notice : ark:/12148/cb446556824
Notice n° :
FRBNF44655682
(notice reprise d'un réservoir extérieur)
Table des matières : 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.
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.
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.
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.
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.
High Variety.
