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Lecture: Handling Billions Of Edges in a Graph Database
The complexity and amount of data rises. Modern graph databases are designed to handle the complexity but still not for the amount of data.
The complexity and amount of data rises. Modern graph databases are designed to handle the complexity but still not for the amount of data. When hitting a certain size of a graph, many dedicated graph databases reach their limits in vertical or, most common, horizontal scalability. In this talk I'll provide a brief overview about current approaches and their limits towards scalability. Dealing with complex data in a complex system doesn't make things easier... but more fun finding a solution. Join me on my journey to handle billions of edges in a graph database.
Info
Day:
2017-08-19
Start time:
16:30
Duration:
01:00
Room:
HS 3
Track:
Databases
Language:
en
Links:
- iCalendar
- Modern data modeling: Multi-Model approach using ArangoDB
- GOTO 2016 • Handling Billions Of Edges in a Graph Database •
- Polyglotte Persistenz. Mit Michael Hackstein (JUGH-Treffen am 30. Juni 2016)
- Video
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mchacki |