Course Outline

Introduction

Overview of MarkLogic Data Hub Features and Architecture for Government

Getting Started with MarkLogic Data Hub for Government

Importing, Migrating, and Converting Existing Artifacts for Government Use

Exploring Key Concepts in the MarkLogic Data Hub for Government Operations

Setting up Users, Roles, and Privileges for Secure Access

Deploying Security Configuration Using QuickStart and ml-gradle for Enhanced Governance

Working with Data Ingestion and Flow Pipelines to Enhance Data Management

Working with Steps, Mapping, and Modules to Optimize Data Processing

Configuring Project Steps and Flows for Efficient Data Handling

Understanding Key Semantic Data Modeling Concepts for Government Applications

Accessing Data Using JavaScript APIs and SPARQL for Government Reporting

Managing Data on DHS Using Hub Central for Government Operations

Managing On-Premises Data, Projects, Flows, and Steps for Government Agencies

Serving Data Out of MarkLogic Using REST and ODBC for Government Services

Tracking the Data History and Data Lineage Origin for Transparency and Accountability

Replicating Existing Data Flow with a New Data Source to Improve Data Integration for Government

Using Smart Mastering with MarkLogic Data Hub for Enhanced Data Quality in Government

Troubleshooting Common Issues in MarkLogic Data Hub for Government Users

Summary and Conclusion for Government Implementation

Requirements

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

Audience

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

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Price per participant

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