Gartner Cloud DBMS Report Names MarkLogic a Visionary

Learn to build a MarkLogic Data Hub powered by the MarkLogic database to help accelerate data integration projects and deliver faster time to value to your customers.

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Course Objectives

By completing this course you will be able to:

  • Develop, test, debug and deploy custom code using a local IDE (Visual Studio Code)
  • Use custom code during ingest, mapping and mastering
  • Implement an entity model that includes nesting and relationships
  • Load data from a variety of sources
  • Load data using a variety of methods and describe the use cases and best practices for each method
  • Use custom code during data ingest
  • Implement mapping configurations for a more complex data model
  • Implement smart mastering configurations with more complexity and customization

Course Outline

  • Understand the high-level approach to data integration projects using the MarkLogic Data Hub
  • Understand the customer and business requirement for the course hands-on project
  • Understand the user stories and technical requirements for the course hands-on project
  • Understand the data sources available for the course hands-on project
  • Understand what it is
  • Understand what it does
  • Initialize and install a new MarkLogic Data Hub project
  • Create users and roles for both business users and members of the technical project team
  • Understand how to use Data Hub specific roles
  • Implement role hierarchies
  • Assign execute privileges necessary to meet project requirements
  • Deploy security configuration using QuickStart and ml-gradle
  • Create a new entity
  • Define properties
  • Configure Indexed
  • Protect access to PII (personally identifiable information)
  • Create flow pipelines
  • Configure ingestion steps
  • Understand the purpose and use of the staging and final databases in a MarkLogic Data Hub
  • Implement key data modeling concepts including document URIs, collections, document permissions, property naming best practices, geospatial data modeling patterns, denormalization, and the use of the envelope pattern
  • Configure mapping steps
  • Use pre-built mapping functions
  • Program, deploy and use a custom mapping function
  • Test and debug mapping steps
  • Understand key semantic data modeling concepts including triples, IRIs, ontology triples, managed and unmanaged triples
  • Load triples to a MarkLogic Data Hub
  • Program, deploy and use a custom harmonization step to add triples to the envelope of a document
  • Explore the use of JavaScript APIs
  • Explore the use of SPARQL
  • Validate that the curated data from the hub can be used to meet the business and technical requirements for the hands-on project
  • Ingest a new data source
  • Curate the new data so that it can be consumed in the same way as existing data
  • Configure a matching step
  • Configure a merging step
  • Test Smart Mastering
  • Explore mastered data
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Learning Assessments


Learning Assessments provide a way for you to demonstrate understanding of the learning objectives defined for a specific training course.

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