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Duration 21 hours
Course Outline
Introduction
Comprehensive overview of EBX5 capabilities and system architecture
- Data modeling, validation, matching and consolidation, version control, and additional features
Analyzing data modeling standards within the EBX5 framework
- Distinctions between Semantic and Relational data models
- Definitions of data models, data sets, data spaces, and repositories
Navigating the user interface for government applications
- Interpreting the Navigation Pane structure
- Utilizing the Data Model Assistant (DMA) effectively
Constructing a data model
- Architecting a data model aligned with organizational business requirements
- Configuring metadata and user access controls
- Defining tables, fields, links, and related components
Deploying a data model
- Understanding the publication process, including model, publication, and dataset components
- Selecting an appropriate publication mode
- Overseeing the management of publications
Executing data validation
- Establishing data validation rules for compliance
- Configuring content validation and validation properties
Executing operational functions
- Performing Create (Insert/Append), Read, Update, and Delete actions
- Implementing data constraints
Managing duplicate records for government integrity
- Processes for matching, consolidating, and reversing consolidations
Automating scheduled jobs
- Establishing schedules for automated data retrieval
- Maintaining and modifying existing schedules
Implementing real-time integration with external systems
- Connecting via API gateway interfaces
- Integrating with Dell Boomi platforms
- Employing REST Services for GET and PUT operations
Configuring workflows and workflow models
- Enforcing controlled change management protocols
- Implementing data approval processes
Diagnostic troubleshooting procedures
Summary and final conclusions
Requirements
- Foundational knowledge of databases and database modeling principles
- Experience with Java programming
Target Audience
- Developers