Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jim Webber

Jim Webber
Chief Scientist, Neo4j

Website | @jimwebber

Jim Webber is chief scientist at Neo Technology, where he works on next-generation solutions for massively scaling graph data. Previously, Jim was a professional services director with ThoughtWorks, where he worked on large-scale computing systems in finance and telecoms. Jim holds a PhD in computing science from Newcastle University in the UK.

Sessions

14:55–15:35 Thursday, 24 May 2018
Mixing causal consistency and asynchronous replication for large Neo4j clusters
Data engineering and architecture
 Location: S11A Level: Intermediate
Secondary topics:  Time Series and Graphs
Jim Webber (Neo4j)
Average rating: *****
(5.00, 3 ratings)
Jim Webber details how Neo4j mixes the strongly consistent Raft protocol with async log shipping and provides a strong consistency guarantee: causal, which means you can always at least read your writes even in very large multidata center clusters. Read more.