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Graph Gurus Episode 8: Location, Location, Location
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Graph Gurus Episode 8: Location, Location, Location: Geospatial Analysis with a Native Parallel Graph Database
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.
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.