Mapillary - Pragmatic Big Data with Neo4j, CQRS, Event Sourcing and Computer Vision - a session at Øredev 2014
WED
11.20 - 12.00
Mapillary - Pragmatic Big Data with Neo4j, CQRS, Event Sourcing and Computer Vision
Level: Intermediate
Mapillary is building an crowd sourced graph of connected images and constructing dynamic subsets of it for e.g. street view clients.
Peter is going to present the processing, storage and query architecture for the project, and the different phases of scaling a huge dataset with only 4 developers. With backgrounds in Computer Vision, NoSQL and big data, we are trying to solve challenges only when they become a priority in order not to scale too fast. Be prepared for short cuts and hacks in order to balance customer features, startup economy and technical debt.
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ØREDEV was founded in 2005 by Jayway, a company comprised of and focused on specialists within IT. Øredev inherited this company's vision and philosophy.