Safer Payments Hands-On Technical Primer – 6A020GCR

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Enrol   Details


Course Code: 6A020G Brand: WFSS – Financial Crimes and Conduct Risk Category: Industry Skill Level: Intermediate Duration: 32H Modality:CR      Audience


Intended Audience

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  • Analytic, Application Developers, System Admins managing Safer Payments
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  • IBM Lab Services and IBM Service Partners
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  • Implementers, Support, and Operations Personnel
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  Prerequisites


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  • Must be familiar with unix command line navigation and configuration actions
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  • Some familiarity with payment processing systems
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  • Familiarity with the concepts of clustering and network/firewall topics
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  • Familiarity and comfort with troubleshooting and problem determination processes
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  Short Summary


Technical resources will get a hands-on overview of the product. Students will get an understanding of how to install, configure, setup, and system administration.  Overview


 

In this course, technical resources that will be involved in any aspect of deploying, customizing, and implementing the Safer Payment solution will get a hands-on overview of the product. Students will get an understanding of how to install, configure, and setup the system for Analysts as well as basics on system administration.

  Topic


  •  Introductory Overview of Safer Payments
  • Unix Installation
  • Clustering and Configuration and Encryption
  • System and Performance Configuration Settings
  • Mandators and Data Modeling
  • Roles and User Configuration
  • New Environment Elements
  • Output Notifications and Integration (Lab1H_SPOutputNotifiationsIntegration)
  • Transaction ETL, Master Data
  • Cluster Monitoring
  • Redundancy and Disaster Recovery
  • Config Export and Migrate
  • Upgrade/Backup/Restore 

  Objectives


After completing this class, students should be able to:

  • Install and Configure Safer Payments
  • Understand how to ingest/map data into Safer Payments
  • Understand and configure clustering and redundancy.
  • On Disk file structure and configuration
  • Performance factors and impact of data size and memory size

 

 

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