Business intelligence and the cloud : strategic implementation guide

Content: 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.