Source: thenewstack.io
Real-Time Recommendations with Graph and Event Streaming
Real-time data is becoming increasingly important to enterprise success. Successfully collecting incoming data while reacting both quickly and strategically is paramount.
For our data storage layer, we will use https://dtsx.io/3Ggcdwv, a Gremlin/TinkerPop property graph database built on top of https://dtsx.io/3TlbCfM. Graph databases are perfect for use cases where the relationships between the data are just as important as the data itself.
Using DSE Graph, we can track data about users and movies, storing them as “vertices” in the database (figure .
For our data storage layer, we will use https://dtsx.io/3Ggcdwv, a Gremlin/TinkerPop property graph database built on top of https://dtsx.io/3TlbCfM. Graph databases are perfect for use cases where the relationships between the data are just as important as the data itself.
Using DSE Graph, we can track data about users and movies, storing them as “vertices” in the database (figure .
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