PERVASIVE DATA INTEGRATOR COURSE CONTENT

Pervasive Data Integrator

• Building Blocks of v10 Design – Basic Integration Techniques (Project Organization, Connectivity, Mapping Rules, Configurations, Macros, Scripting, Aggregation)
• Mapping Techniques (Multimode Operations, Schemas, Lookups, Hierarchical Data Handling, XML, Error Handling)
• Managing Integrations: On-Premise (Integration Manager, Scheduling, Dashboard Monitoring, Reports)
• Execution of Web services
• Process workflows (steps, components, queues, FTP, e-mail, error handling, decision logic)
• Scripting and User Defined Functionality
• Basic Administration and Troubleshooting

 v9 Data Integrator™ Training Topics

• Architectural Overview
• Repository Explorer (Workspaces and Repositories)
• Map Designer (Interface, Connections, Mapping, RIFL Scripting, Variables, Exception Handling, Logging, and Event Handlers)
• Schema Designers
• Process Designer (Workflows, Messages and Queues)
• Integration Engine command line interface
• Intermediate Mapping Techniques (Multiple record type structures, Look-up Techniques, XML and/or RDBMS Mapping with Multi-mode connectors)
• Repository Manager

• Generating Pervasive EDI/HIPAA Schemas
• Mapping Techniques for reading from EDI/HIPAA files
• Mapping Techniques for creating HIPAA files
• EDI/HIPAA Solution Workflows
• EDI/HIPAA Structural Validation

The Data Quality training consists of learning two Pervasive products. Pervasive Data Profiler™ and Pervasive Data MatchMerge™. These data quality products can be used as part of a Master Data Management Solution. Each course can also be taught individually, or as an add on to the Data Integrator™ trainings.

• Product Overview and Setup
• Creating Predefined Rules(Metrics) to Analyze Data
• Creating User Defined Rules and Scripting
• Execution Methods
• Analyzing of Results and Generating Reports
• Incorporating Data Profiler into Data Integrator

• Product Overview and Setup
• Review of Terminology, Flow and Matching Algorithms
• Single Source Matching
• Multisource Matching
• Reverse Matching
• Execution Methods
• Incorporating Data MatchMerge into Data Integrator