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Database Clinic: Neo4J

via LinkedIn Learning

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Learn about graph databases, and how they can help you understand connected data, using Neo4j.

Syllabus

Introduction
  • Navigating the world of connected data
1. Introduction
  • What are graph databases
  • Types of graph structures for data
  • Why graph databases?
  • Good graph database use cases and bad graph database use cases
  • Introducing Neo4j: A property graph database
  • Challenge: Is this a connected data problem?
  • Solution: Is this a connected data problem?
2. Getting Started
  • Anatomy of a property graph
  • Getting up and running with Neo4j
  • Hello, world!
  • Introducing Cypher
  • Challenge: Your first Cypher queries
  • Solution: Your first Cypher queries
3. Reading Data
  • Introducing the course data set
  • MATCHing nodes
  • MATCHing nodes and relationships
  • Counting and aggregating data
  • Beyond one hop
  • Challenge: Time to answer some questions
  • Solution: Time to answer some questions
4. Writing Data
  • CREATEing your data
  • Updating and REMOVEing your data
  • DELETEing your data
  • Challenge: Putting it all together
  • Solution: Putting it all together
Conclusion
  • What's next?

Taught by

William Lyon

Reviews

4.7 rating at LinkedIn Learning based on 190 ratings

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