William Dealtry
William Dealtry has been working in both Python and C++ for many years, and has been a member of the C++ standardization committee for more than a decade. Having previously worked with financial data a places like the New York Stock Exchange and Goldman Sachs, he is currently the Architect of a new open-source Dataframe database, ArcticDB, which is backed by long-time Python enthusiasts Man Group and Bloomberg.
Sessions
Fully serverless systems are compelling for a number of reasons; they are inherently scalable, highly available and have a low maintenance burden. The challenge with a serverless system is providing sufficiently strong guarantees of data consistency without either sacrificing performance or simply shifting the burden of maintaining consistency to an external client-server system. At ArcticDB (https://github.com/man-group/arcticdb) we have spent years refining a fully serverless model that pushes the boundaries of what can be achieved with nothing but a python library and commodity object storage. In this talk we will share re-usable techniques for ensuring data reliability without external synchronization.