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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


Jonathan Herke 

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:

  • Graph Fundamentals

  • Graph Use-Cases

  • 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.



Register Today and get a 50% discount to the Data & The Machine Sofa Summit

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