Getting Started with the MarkLogic Data Hub

Data Services First

• 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

The MarkLogic Data Hub

• Understand what it is
• Understand what it does
• Initialize and install a new MarkLogic Data Hub project

Implement Security

• 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 an Entity

• Create a new entity
• Define properties
• Configure Indexed
• Protect access to PII (personally identifiable information)

Ingest Data

• 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

Curate Data

• Configure mapping steps
• Use pre-built mapping functions
• Program, deploy and use a custom mapping function
• Test and debug mapping steps

Use Semantics

• 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

Access Data

• 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

Adapt to Change: Perform Another Iteration of Ingest | Curate | Access

• Ingest a new data source
• Curate the new data so that it can be consumed in the same way as existing data

Use Smart Mastering

• Configure a matching step
• Configure a merging step
• Test Smart Mastering
• Explore mastered data