Graph + AI World:                 

Designing Advanced Analytics Patterns with TigerGraph 3.0 No-Code GUI

Graph + AI World Session - Recorded September 2020
In version 3.0, TigerGraph introduces two brand new no code tools - visual query builder and RDBMS to graph migration tool. Through simple clicks and drag-and-drop in GraphStudio UIs, these no code tools decrease the learning curve for more users, such as relational database developers, data scientists and business analysts. In this workshop, we will guide users to use no code RDBMS to Graph migration tool to auto generate graph schema and import data, and use visual query builder to construct graph patterns to query TigerGraph. In particular, we will discuss building Graph features for machine learning use cases. Additional hands-on sessions will cover more advanced features in GraphStudio and Admin Portal such as MultiGraph support and User Management.

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“TigerGraph is highly configurable ands can fit your specific use case. Whether you’re trying to get super fast query times or run heavy graph processing algorithms, setting the right configuration on your cluster will make all the difference.”


About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 


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