Graph Databases Exposed

Relational databases have been the cornerstone of data centric systems for almost 30 years, serving as a trusty workhorse upon which many developers depend. Times, however, are changing and datasets are becoming larger and more complex. Business and users expect more flexibility and insight from their data.

With a worldwide movement to connectedness in applications (Facebook, Twitter, Linked In and many more), our trusty relational database model can't be relied upon to manage complex connected datasets.

This has lead database technologists to find more effect technologies to manage their connected data. Graph Databases, a subset of NoSQL technology, provide a powerful mechanism to work with datasets where relationships between various entities are important.

In this session Chris covers:

• Introduction to graph databases.
• Compares graph databases to relational databases.
• Introduces Neo4j, a powerful open source graph database technology.
• Demonstrates a practical implementation of graph databases in .Net.