Large-scale geospatial data storage, visualisation and analysis

Speaker: James Srinivasan (Defence Science and Technology Laboratory, UK)

Date: 12 October 2017

Time: 14:00 – 15:00

Venue: The Alan Turing Institute

Email: Turing Events to register your place.

The coherent and scalable storage, visualisation and analysis of large volumes of geospatial data is a considerable engineering and research challenge. This talk will first detail the technology stack we have developed and deployed, currently handling millions of items per day from a variety of sources. Next, the difficulties of dealing with real data will be explored, in particular tracking civilian maritime vessels. Finally, the delivery of data science capabilities to minimally-trained end users will be discussed.

Throughout the talk, unsolved research challenges will be highlighted to hopefully spark collaboration opportunities.

This talk is suitable for most technically-minded audiences who are interested in the application of data science to real-world problems. There (probably) won’t be any equations.


James is a Principal Data Scientist working in the Defence Science & Technology Laboratory (Dstl) where his work mostly involves the analysis of large scale data for defence and national security applications. He previously worked in defence video management and exploitation (2d3 Ltd, acquired by Boeing) and wearable devices (Microsoft Research, Cambridge). James holds a PhD in Computer Architecture from the University of Cambridge.