Course Outline
Introduction
Overview of MarkLogic Data Hub Features and Architecture
Getting Started with MarkLogic Data Hub
Importing, Migrating, and Converting Existing Artifacts
Exploring MarkLogic Data Hub Concepts
Setting up Users, Roles, and Privileges
Deploying Security Configuration Using QuickStart and ml-gradle
Working with Data Ingestion and Flow Pipelines
Working with Steps, Mapping, and Modules
Configuring Project Steps and Flows
Understanding Key Semantic Data Modeling Concepts
Accessing Data Using JavaScript APIs and SPARQL
Managing Data on DHS Using Hub Central
Managing On-Premises Data, Projects, Flows, and Steps
Serving Data Out of MarkLogic Using REST and ODBC
Tracking the Data History and Data Lineage Origin
Replicating Existing Data Flow with a New Data Source
Using Smart Mastering with MarkLogic Data Hub
Troubleshooting
Summary and Conclusion
Requirements
- Experience with database management systems
- Familiarity with JavaScript, C, C++, or any other programming language
Audience
- System administrators
- Database administrators
- Data architects
- Developers
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