Neo4j: Managing Graphs with the Graph Data Science Library

Neo4j    |    Intermediate
  • 9 videos | 1h 5m 25s
  • Includes Assessment
  • Earns a Badge
Rating 4.0 of 2 users Rating 4.0 of 2 users (2)
This course will teach you to use operations that modify in-memory graphs built with the Graph Data Science (GDS) library, update the properties of the underlying database, and export their contents to a database or file. You begin with a mutate operation to add new properties to an in-memory graph. You will learn how you can save the results of graph algorithms in such graphs for later reference. Next, you explore the write operation to update the underlying database with the results of graph algorithms on in-memory graphs. You will then move on to exporting your graph to a persistent store. Finally, you cover the different ways you can remove GDS graphs from the graph catalog. While doing so, you will explore the degree centrality calculation, which measures how well-connected nodes are in a network. After completing this course, you will have a fundamental understanding of how to administer in-memory graphs using the Graph Data Science library in Neo4j.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Add properties to an in-memory graph based on the computation of an algorithm
    Apply the degree centrality algorithm on a graph to get the level of connectedness of each node
    Use the write function of a graph algorithm to publish the results of a computation to the underlying nodes of the database
    Persist an in-memory graph to a neo4j database
  • Load properties from the source database of a graph when exporting it to a new database
    Remove graphs from the graph catalog
    Export in-memory graphs to a set of csv files containing data for nodes and relationships
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 50s
  • 10m 28s
  • Locked
    3.  Adding a Degree Centrality Score to a Graph
    6m 57s
  • Locked
    4.  Writing Algorithm Results to a Database
    8m 27s
  • Locked
    5.  Exporting a Graph to a Database
    11m 13s
  • Locked
    6.  Exporting Graphs with Additional Properties
    5m 18s
  • Locked
    7.  Deleting Graphs
    6m 13s
  • Locked
    8.  Exporting Graphs to CSV Files
    12m 5s
  • Locked
    9.  Course Summary
    1m 54s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Prompt Engineering for Data: Basic Data Manipulation Using Generative AI
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Channel Wintellect Neo4j
Course Graph Modeling with Neo4j: Automating & Refactoring Graph Models
Rating 3.5 of 2 users Rating 3.5 of 2 users (2)