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Knowledge Graph solution development using TigerGraph
Rating: 4.2 out of 5(17 ratings)
136 students
Created byNeena Sathi
Last updated 3/2021
English

What you'll learn

  • You will be able to understand and document the use case for knowledge graph solution
  • You will be able to Design a Knowledge Graph solution
  • You will be able to Design / extract data from Knowledge Graph data sources.
  • You will be able to Design / Build key knowledge graph solution components and analytics
  • Finally, You will be able to Prototype a graph analytics experience and document your understanding on Knowledge Graph Insights using a class assignment

Course content

9 sections • 9 lectures • 2h 21m total length

  • Introduction14:03

    This section will provide course outline and expected outcomes.  We will also discuss the use case scenario and associated design details you will submit as your class assignment and prototyping effort.

  • The purpose of this course is to: (Choose 1)

Requirements

  • We strongly recommend you to start on "Knowledge Graph - Benefit Case" course before starting this course. Knowledge Graph - Benefit Case is also available on Udemy.

Description

"Rapid Prototyping of Knowledge Graph Solutions using TigerGraph" course will help you strategize knowledge graph use cases and help you build or prototype a use case for your knowledge graph engagement.  This course includes

- How to define Graph Use Case

- How to set up Sandbox using TigerGraph for your Graph use case

- How to develop and execute structured graph queries

- How to define elastic or higher level graph representation

- Finally how to connect your graph solution with other solution components using Python.


Who this course is for:

  • Management, strategy and business analyst professionals
  • Architects, technical leads and system analysts from IT organization
  • Senior year undergraduate and graduate students in Business, Analytics, and IT
  • Vendors, consultants and service providers for Graph Analytics

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