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Using zEnterprise for Smart Analytics: Volume 2 Implementation

Using zEnterprise for Smart Analytics: Volume 2 Implementation

by Lih Wang, LK Swift, Qiong Liu, Patrick Hempeler, Colin Page, Alex Louwe Kooijmans, Mike Ebbers
Publisher: IBM Redbooks
Release Date: April 2013
ISBN: 0738437522
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Book Description

This IBM® Redbooks® publication series explains the assessment and implementation of a workload, integrated within IBM Smarter Banking® Showcase, and hosted at IBM Montpellier, France. Intended for decision-makers, consultants, architects, administrators, and specialists, this book is the second volume in a series of two:

  • Assessment: Volume 1 (SG24-8007) describes how to evaluate the requirements of a new Smarter Analytics workload, addressing the user, system resources, and data processing profiles to identify the most optimal configuration by using IBM methodologies, such as fit-for-purpose. Given that the existing showcase is based on the IBM zEnterprise® System, deployment options include IBM z/OS®, Linux on IBM System z®, IBM AIX® running on IBM POWER® processor-based blades within the zEnterprise BladeCenter® Extension (zBX), and Windows Server 2008 running on System x® and BladeCenter blades also within zBX.

  • Implementation: Volume 2 (SG24-8008), which you are reading, describes the setups that are involved in deploying the Smarter Analytics workload within the showcase. With multiple components, including IBM Cognos® BI, IBM Cognos TM1®, Cognos Metric Studio, IBM DB2® for z/OS, and a number of application design tools, the workload spans multiple operating environments. The use of application clustering, setting up performance policies by using Unified Resource Manager, and simulation test execution results are included.

Table of Contents

  1. Front cover
  2. Notices
    1. Trademarks
  3. Preface
    1. The team who wrote this book
    2. Now you can become a published author, too!
    3. Comments welcome
    4. Stay connected to IBM Redbooks
  4. Chapter 1. Introduction
    1. 1.1 Summary of the assessment phase
    2. 1.2 Process overview of implementation phase
      1. 1.2.1 Stage 9: Create implementation plan
      2. 1.2.2 Stage 10: Create technical design
      3. 1.2.3 Stage 11: Provision resources
      4. 1.2.4 Stage 12: Install, configure, and integrate software components
      5. 1.2.5 Stage 13: Test the solution
      6. 1.2.6 Stage 14: Review design points
      7. 1.2.7 Stage 15: Implement a management infrastructure
  5. Chapter 2. Implementation planning
    1. 2.1 Overview of the implementation steps
    2. 2.2 More details of implementation steps
  6. Chapter 3. Technical design
    1. 3.1 Application architecture
      1. 3.1.1 Profitability calculator
      2. 3.1.2 Reporting functionality
      3. 3.1.3 Predictive analytics
      4. 3.1.4 Summary of application environment
    2. 3.2 Physical environment
    3. 3.3 Network architecture
    4. 3.4 Middleware topology
      1. 3.4.1 Data management or data source connectivity
      2. 3.4.2 SPSS Modeler Server
      3. 3.4.3 Cognos 10 BI
      4. 3.4.4 Cognos TM1
    5. 3.5 Availability aspects
    6. 3.6 Summary
  7. Chapter 4. Provisioning our resources
    1. 4.1 Our hybrid environment
    2. 4.2 Configuring the network
      1. 4.2.1 Types of networks
      2. 4.2.2 Configuring INMN
      3. 4.2.3 Configuring IEDN
      4. 4.2.4 Configuring HiperSockets
      5. 4.2.5 Configuring customer-managed data network
    3. 4.3 Configuring storage
    4. 4.4 Configuring z/VM and Linux on System z
    5. 4.5 Configuring POWER blades
    6. 4.6 Configuring x blades
    7. 4.7 Configuring workload performance management using Unified Resource Manager
      1. 4.7.1 Defining the BI workload
      2. 4.7.2 Configuring GPMP and enabling ARM
  8. Chapter 5. Install, configure, and integrate the software components
    1. 5.1 IBM Cognos BI installation considerations
      1. 5.1.1 Overview of the IBM Cognos BI installation
      2. 5.1.2 Installing Cognos BI components
      3. 5.1.3 Configuring Cognos BI data access
      4. 5.1.4 Preparing to run Cognos BI on WebSphere Application Server
      5. 5.1.5 Installing Cognos BI gateway
    2. 5.2 IBM Cognos Metric Studio deployment and integration considerations
      1. 5.2.1 IBM Cognos Metrics Server application tier and gateway installation
      2. 5.2.2 Metric store placement
      3. 5.2.3 IBM Cognos Business Intelligence gateway deployment and integration
      4. 5.2.4 Metrics Server configuration and package deployment
    3. 5.3 IBM Cognos TM1 installation considerations
      1. 5.3.1 Primary considerations
      2. 5.3.2 Creation of a TM1 data source in Cognos BI
    4. 5.4 SPSS Modeler installation considerations
      1. 5.4.1 Architectural considerations and deployment preparation
      2. 5.4.2 SPSS Modeler Client installation and configuration
      3. 5.4.3 SPSS Modeler server installation and configuration
      4. 5.4.4 SPSS Modeler data access
      5. 5.4.5 Other considerations
      6. 5.4.6 SPSS Modeler and Cognos TM1 integration considerations
  9. Chapter 6. Testing the application
    1. 6.1 Setting up a hybrid test environment
      1. 6.1.1 Capturing a test scenario
      2. 6.1.2 Replaying the scenario
      3. 6.1.3 Scheduling a combined test
      4. 6.1.4 Hybrid Test environment summary
    2. 6.2 Cognos Dashboard scenario
      1. 6.2.1 Test plan
      2. 6.2.2 Running the test
    3. 6.3 Metric Studio Scorecard scenario
      1. 6.3.1 Test plan
      2. 6.3.2 Running the test
    4. 6.4 TM1 Report scenario
      1. 6.4.1 Test plan
      2. 6.4.2 Running the test
    5. 6.5 Cognos Business Insight Report scenario
      1. 6.5.1 Test plan
      2. 6.5.2 Running the test
    6. 6.6 Conclusions
  10. Chapter 7. Review the design points
    1. 7.1 Functionality
    2. 7.2 Compatibility
      1. 7.2.1 Compatibility of Cognos BI and Cognos Metrics Server
      2. 7.2.2 Compatibility of Cognos BI, Cognos TM1, and SPSS
    3. 7.3 High availability and scalability considerations
      1. 7.3.1 High availability and scalability of Cognos BI
      2. 7.3.2 High availability and scalability of SPSS
    4. 7.4 Data proximity
  11. Chapter 8. Monitoring performance in the zEnterprise hybrid environment
    1. 8.1 Management requirements: What to monitor
    2. 8.2 Current hybrid workload monitoring solution
      1. 8.2.1 Systems monitoring deployment approach
      2. 8.2.2 Systems monitoring architecture
      3. 8.2.3 Monitoring operating systems
      4. 8.2.4 Monitoring zEnterprise networks
      5. 8.2.5 Monitoring Cognos BI performance on zEnterprise
      6. 8.2.6 Monitoring DB2 for z/OS performance for Cognos
      7. 8.2.7 Monitor hybrid workload using Unified Resource Manager
    3. 8.3 Additional monitoring tools for consideration
      1. 8.3.1 End-to-end transaction tracking
      2. 8.3.2 Integrate BI application monitoring with zEnterprise
      3. 8.3.3 Integrate Unified Resource Manager performance API data
  12. Chapter 9. Implementation summary
    1. 9.1 Infrastructure and middleware implementation
    2. 9.2 Customer Profitability Analytics blueprint deployment
    3. 9.3 Testing
    4. 9.4 Conclusion
  13. Related publications
    1. IBM Redbooks
    2. Other publications
    3. Online resources
  14. Back cover