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