IBM Business Analytics and Cloud Computing Best Practices for Deploying Cognos Business Intelligence to the IBM Cloud
by Jhingran, Anant; Jou, Stephan; Lee, William; Pham, Thanh; Saha, BirajFormat: Paperback
Pub. Date: 2010-11-01
Publisher(s): MC Press
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Summary
Business intelligence and analytics software enable businesses to analyze performance data in order to make better decisions through the use of cloud computing--an Internet-based model for convenient, on-demand network access to a shared pool of configurable computing resources. This book is a practitioner's guide for successful evaluation and design for implementation of Cognos Business Intelligence cloud solution, for either Cognos 8 BI or Cognos Business Intelligence Version 10. With pragmatic and practical information about the best practices and guidelines, as well as specific software and configuration steps, this guide for solutions and IT architects includes detailed screen shots, code samples, and input instructions.
Author Biography
Anant Jhingran is an IBM fellow and vice president and chief technical officer for IBM’s Information Management division. He lives in San Francisco. Stephan Jou is a technical architect, research staff member, and senior technical staff member in IBM’s Business Analytics division in the Technology and Innovation group. William Lee is a senior software consulting engineer at IBM through the Cognos acquisition. Thanh Pham is a solution architect in the IBM Information Management Advanced Technology group, focusing on helping customers build applications using the IBM Mashup Center product and IBM cloud computing. Biraj Saha is an advisory software developer at IBM Cognos, specializing in metadata and algorithm design and development for Cognos modeling tools. They all live in Ottawa, Ontario.
Table of Contents
| Introduction | p. 1 |
| The Organization of This Book | p. 1 |
| Conventions Used in This Book | p. 2 |
| Corrections and Errata | p. 3 |
| Cloud Computing and Analytics | p. 5 |
| On-Demand Infrastructure | p. 5 |
| On-Demand Higher Services | p. 6 |
| Flexible Deployment Models | p. 8 |
| The Workload Model for Cloud | p. 8 |
| Cognos Software and Analytics as a Service | p. 11 |
| Getting Started | p. 13 |
| Data Considerations | p. 13 |
| Security Provider Considerations | p. 16 |
| Designing and Testing Your Topology | p. 17 |
| Embracing Linux“ | p. 18 |
| Installation and Configuration | p. 19 |
| Set Up the Windows Client | p. 19 |
| Set Up and Configure the Cloud Instance | p. 20 |
| Configure the Windows Client | p. 25 |
| Assemble Your Software | p. 28 |
| Set Up the Database and Web Server | p. 33 |
| Set Up Cognos 8 or Cognos 10 BI Server | p. 41 |
| Configure Security and Access | p. 71 |
| Create a Cognos BI Cloud Image | p. 77 |
| Installation Variations | p. 95 |
| Security Best Practices | p. 97 |
| Cloud Security Best Practices | p. 98 |
| Handling Cloud Topologies | p. 101 |
| Using the Hosts File to Manage Multiple Images | p. 101 |
| Example: An Elastic Cognos Cluster with a Single Image | p. 102 |
| Creating Snapshots Using Private Images | p. 106 |
| Files in the Cloud | p. 107 |
| Performance and Scalability Best Practices | p. 109 |
| User Community and Geographic Distribution | p. 110 |
| Application Complexity | p. 111 |
| Web-Server-Tier Performance and Scalability | p. 111 |
| Application-Tier Performance and Scalability | p. 112 |
| Content Manager Performance and Scalability | p. 112 |
| Post-Deployment Consideration | p. 113 |
| High Availability Best Practices | p. 115 |
| Cognos Gateways and Application Servers | p. 11$$$ |
| The Cognos Application Server as a Gateway | p. 11$$$ |
| Active and Standby Cognos Content Manager | p. 11$$$ |
| IBM DB2 High Availability and Disaster Recovery (HADR) | p. 11$$$ |
| Table of Contents provided by Ingram. All Rights Reserved. |
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