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Business Intelligence and the Cloud: Strategic Implementation Guide (Wiley and SAS Business Series)

معرفی کتاب «Business Intelligence and the Cloud: Strategic Implementation Guide (Wiley and SAS Business Series)» نوشتهٔ Gendron, Michael S., Gendron, Michael S., 1957-، منتشرشده توسط نشر Wiley & Sons در سال 2014. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

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. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications--applications that are used to gather/create data, which in turn are used to generate business intelligence. 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. 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. Read more... Abstract: 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. Read more... 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. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications-applications that are used to gather/create data, which in turn are used to generate business intelligence. -- Edited summary from book Provides an overview of cloud computing and how it is transforming the enterprise technology landscape. Addresses key elements related to cloud adoption and cloud economics. Discusses how to conduct business intelligence in the cloud
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