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Location, Location, Location
Geospatial Analysis With A Native Parallel Graph Database
Recorded WEDNEsday, december 19 
This is the 8th episode that continues TigerGraph's Graph Guru series, a free educational webinar series for developers and data scientists.

This episode explores one of most fundamental aspects of data - location. It drives multiple use cases powered by Graph Analytics such as real-time recommendations or offers based on the customer’s real-time location,  and fraud detection among credit card transactions that stem from unusual or unexpected areas. 

In this Graph Gurus episode, we use the TigerGraph Developer Edition to build a geospatial solution for modeling and analyzing location data in real-time. In this episode, we:

    • Explain geospatial analysis for a variety of use cases. These range from promotional campaigns and offers, incentive and credit card fraud detection,  cyber security and location based community clustering and analysis for healthcare and government.

    • Present a graph solution to perform geospatial analysis using GSQL.

    • Review a real-life business use case for geospatial analysis using TigerGraph and GSQL.



Emma Liu, Product Manager

Xinyu Chang, Solutions Leader