Thursday 25th March - 14:00 GMT / 15:00 CET
Zero to Advanced Analytics and Machine Learning in 90 minutes with TigerGraph Cloud
A hands-on workshop with
Jonathan Herke - Manager of Developer Relations at TigerGraph
Manager of Developer Relations at TigerGraph
BS in Computer Information Systems
Founder of Futurist Academy (non-profit)
8 years Computer Networking Engineer in the Army National Guard
6+ years building healthcare solutions as an EIR and Graph Engineer
Over the past decade, graph databases have become an indispensable asset in dealing with networked and non-relational data. However, as the amount of data ingested into graph databases has exploded, performance has become a key criterion when determining which one to use. In addition, it is critical for organisations to understand the type of use cases in which graph databases can add business value relative to more traditional SQL or other types of NoSQL databases.
During the workshop, we will dig into the fundamentals of Labeled Property Graphs and highlight use cases, ranging from fraud detection, money laundering, and complex manufacturing to real-time analytics for Customer 360. We will show where graph databases are not simply an option but perhaps the only choice available. Lastly, we will explore how to use Python to interact with the graph databases to extract features to be used in ML models.
This hands-on workshop will cover:
Introduction to TigerGraph Cloud
Integrating Python with TigerGraph Cloud
Feature Generation for Supervised Machine Learning
Once registered, please use this link to sign up for TigerGraph Cloud free of charge ahead of the workshop.