Graph Databases - Solving Problems with Connected Data

About the talk

In this connected world, traditional data stores often make it difficult to find valuable relationships. Graph databases focus not only on the entities, but the connections between them. By making relationships a key component of the model, contextualizing a set of data becomes incredibly simple. Join us in this session to learn how graph databases are used to improve the data world and help developers easily make sense of connected data!

This talk will cover

  • Exploring graphs and how they provide data context
  • How to transform our projects into graph structures
  • Optimizing the model for our use case
  • Accessing data through queries, analysis, visualization, applications, and more!
Programming & Development

About the speaker

Jennifer Reif

Jennifer is a Developer Advocate at Neo4j, speaker, and blogger. Passionate about finding ways to organize chaos, she has worked on many projects to make sense of widespread data assets for maximum business value and enjoys learning new technologies!

Want a high-income, remote career in Programming?

Join Arc and receive offers from high-growth tech startups paying from $60,000 to 175,000 USD!

Discussion 

Loading...