MDG4: Agile Graph Data Model Evolution

Many business scenarios today are concerned with a short development time to data product delivery and high flexibility over time. A classic strongpoint of property graphs is the capability to load data without a predefined schema. A schema-last approach is an attractive opportunity for agile development teams. This course covers how to get to know your data in an iterative, refactoring fashion.

Course Description

Many business scenarios today are concerned with a short development time to data product delivery and high flexibility over time. A classic strongpoint of property graphs is the capability to load data without a predefined schema. A schema-last approach is an attractive opportunity for agile development teams. This course covers how to get to know your data in an iterative, refactoring fashion.

Purpose

To exemplify several different approaches, which support schema-last as a Data Modeling pattern, preparing the participants to apply the techniques back home.

Outcome

At the completion of this course, you will:

  • Understand the minimal requirements of a property graph schema
  • Be able to load data that is underdeclared and not (yet) understood
  • Understand the refactoring processes, which can be applied in order to iteratively refine the schema of a property graph

This Course Includes:

  • A 92-minute educational training video
  • An 18-question exam
  • Materials made available for download once the exam has been completed
  • Self-paced and on-demand e-learning
  • Unlimited course access
  • Course CEUs: 1.5 hours
  • Additional course resources include:
    • Demo Script (Load and Analyze Data in Graphs)
    • Data Discovery Scripts:
      • Looking for Unconnected Data
      • Looking for Unrelated Data
      • Looking for Potential Relationships
      • Looking at Highly Connected Nodes
      • Looking for Dates in Text Fields
      • Profiling Data Values

Individual Course Price: $169
Learning Plan Price:
$599
Learning Plan CEUs: 6.0 hours

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