In MarkLogic Fundamentals, you will learn core concepts and how to get set up quickly to begin integrating data and building apps.

  • Duration: One 8 hour class period
  • Format: Instructor-led or self-paced course with hands on labs
  • Availability: Live online, public classes, private onsite
  • Audience: Administrators, Developers
  • Prerequisites:
    • Any programming language
    • Web development experience
    • Database experience

Select Day and Time for Instructor-LedStart Self-Paced Training

Course Objectives

Attendees completing this course will be able to:

  • Describe what MarkLogic is
  • Install MarkLogic
  • Create forests and databases
  • Use Query Console
  • Create a REST API instance
  • Describe the document types supported by MarkLogic
  • Insert documents through Query Console, a REST API instance, and MLCP
  • Configure an HTTP application server
  • Create a hello world Java application
  • Stand up a Node.js application
  • Describe the programming interfaces for search
  • Use the search APIs for simple search queries
  • Create a range index
  • Describe MarkLogic with more technologies
  • Access learning resources

Course Outline

  • Describe what an enterprise NoSQL database is
  • Describe the difference between MarkLogic and Hadoop
  • Demonstrate how customers are using MarkLogic
  • Get started with how MarkLogic works
  • Describe the system requirements
  • Access the installer
  • Install MarkLogic
  • Start MarkLogic
  • Initialize MarkLogic
  • Describe the relationship between a forest and a database
  • Create a forest
  • Create a database
  • Attach a forest to a database
  • Describe the ways for communicating with MarkLogic
  • Use Query Console
  • Create a REST API instance
  • Describe the supported document formats
  • Define URIs
  • Describe the ways to insert documents
  • Insert documents using JavaScript and XQuery functions
  • Insert documents using a REST API instance
  • Use MarkLogic Content Pump to bulk load
  • Describe MarkLogic application servers
  • Create an HTTP Application Server
  • Create a hello world XQuery application
  • Create a hello world Java application
  • Stand up a simple Node.js application
  • Describe search features
  • Describe MarkLogic’s search APIs
  • Write a simple search query
  • Discuss indexes in MarkLogic
  • Add an index
  • Describe semantics
  • Explain alerting
  • Access MarkLogic and Hadoop learning resources
  • Describe MarkLogic and BI applications
Learning Made Simple

Free Training Courses Will Make You a MarkLogician in No Time

Self-Paced Training

Do you need a more flexible learning schedule? Learn on your own time! Take classes as time permits through our self-paced portal.

On-Demand Tutorials

Watch the latest video tutorials with hands-on examples covering a wide variety of product features. Also available through the University mobile app: Apple or Google.

Learning Assessments

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

In this hands-on course, you learn how to enhance and test a MarkLogic Data Hub in a local environment, create a MarkLogic Data Hub Service in the Cloud, deploy a local Data Hub to the Data Hub Service, and deploy and use Data Services.

This course is not for administrators who will be deploying and running MarkLogic Server in their own data center or building and managing their own cluster on the cloud.

  • Duration: ½ day (4 hours)
  • Availability: Live Online Instructor-led
  • Prerequisites: None

Select Day and Time for Instructor-Led

Course Objectives

Attendees completing this course will learn how to:

  • Test a local Data Hub before it’s deployed to the Data Hub Service.
  • Enhance a Data Hub.
  • Create a Network to communicate with the Data Hub Service.
  • Create a Data Hub Service.
  • Deploy the local Data Hub to the new Data Hub Service in the Cloud.
  • Run flows in the new DHS to ingest and curate data.
  • Deploy a Data Service to access data from the new DHS.

Course Outline

  • Ingest Data from a New Source
  • Adjusting Entity Properties
  • Map Data from Multiple Sources
  • Curate Data from Multiple Sources
  • Learn How to Subscribe to the Data Hub Service
  • Create a Network to Communicate with the Data Hub Service
  • Create a Data Hub Service Instance
  • Define Users
  • Explore Endpoints for Contacting the Data Hub Service
  • Deploy a Local Data Hub to the Data Hub Service
  • Ingest and Curate Data by Deploying and Running Flows
  • Learn About Data Services
  • Deploy a Data Service
  • Search the Data Hub with Data Services
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