Getting started with graph databases
|Big Data, Machine Learning, IA & Analytics|
When it’s time to choose the database technology for your app, the choices can be overwhelming. Should you choose SQL or NoSQL? Open source or proprietary? Self-hosted or hosted? If you’re not already familiar with graph databases, you might be tempted to ignore them as an option. But that could be a mistake.
In this tools-in-action session, I'll discuss the benefits of graph databases. Then I'll demonstrate how you can quickly and easily get started with a graph database using a hosted version of the open-source graph computing framework Apache TinkerPop. I'll show you how you can use APIs and the Gremlin graph traversal query language to perform CRUD (create, read, update, and delete) operations. I'll even show you how you can use Gremlin to quickly create a simple recommendation engine for your users.
New to graph databases? No problem! Come learn all you need to get started here!
Lauren Hayward Schaefer is a software engineer for IBM Cloud Data Services who currently focuses on IBM Graph. Since joining IBM in 2009, Lauren has held a variety of roles including software developer, automation specialist, social media lead, and growth hacking engineer. She holds a BS and MS in Computer Science from North Carolina State University.
Lauren is an international speaker who values authenticity. She is passionate about excellence, empowering and encouraging women, and the color pink.