Course Outline


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


Summary and Conclusion


  • Experience with database management systems
  • Familiarity with JavaScript, C, C++, or any other programming language


  • System administrators
  • Database administrators
  • Data architects
  • Developers
  14 Hours


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