Lecture: Sympathy for Data

Open source software intrapreneurship in a large company

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Sympathy for Data is a visual dataflow programming platform for data analysis
written in Python. The platform was initially developed in a large company and
it has been released as free software/open source. A story about developing the
software from scratch (technical choices and design) and convincing managers in
an enterprise environment to release the software as FOSS is to be told.


Sympathy for Data is a visual dataflow programming platform for data analysis
written in Python. It was initially developed within an enterprise environment
and is now released as free software/open source.


We will describe how and why the software was sold in to management and company
lawyers to allow us to avoid proprietary lock-in of the software.


There are several competing products in the market aimed at business
intelligence (BI) but we did not find that any of these were suitable for
scientific engineering problems. BI-tools usually work with SQL-databases and
tabular data which is a serious limitation. The technical choices behind the
design of Sympathy for Data are to be motivated.


Sympathy for Data is currently powering a couple of demanding applications for
data processing, modelling and prediction within an enterprise context. We are
going to talk about these applications and show a short demonstration of the
platform in action.

Info

Day: 2014-11-01
Start time: 11:00
Duration: 00:45
Room: Lilla hörsalen
Track: Programming Languages
Language: en

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