Distill 0.2.0

Goals

Allow for scale-ability in analytics framework for SENSSOFT
Allow for user generated python content within Distill
Allow for processed user log data portability to different environments (e.g., visualization, other analytic environments, i.e., anaconda)

#	Title	Importance
1	Must be able to use custom analytics with Distill	MUST HAVE
2	Must be able to call Distill from server side (for automation) and IDE	MUST HAVE
3	Must be able to accomodate different data streams (beside UserALE), either by design or through instructions for how to build custom schemas	MUST HAVE
4	Libraries must supported through pip (limited or no support for other distros in 0.2.0)
5	Support wheels, eggs for build support on Windows x64 (NO x32)
6	Requires Python 3.6	MUST HAVE
7	OAuth token passing for data endpoint access

Below is a list of questions to be addressed as a result of this requirements document:

Question	Outcome
How do we accommodate different data schema that allow for multiple data stream?
2. Does Distill require a specific backend (Elastic) or can it go to Solr/Lucene	Underlying data store needs to support key value pairs
3. How do we support Windows Users?	Investigate whether we are using packages that don't build in Windows Integrate testing across platforms
4. How do we provide the "average" data scientist enough out of the box packages, modules to be minimally viable out of the box?
5. Roadmap for supporting packages and Anaconda distribution
6. Migrate to Django from Flask?