I wouldn't restrict big data analytics to machine learning - it also includes SQL queries and visualization, real-time data enrichment, ETL, etc. I don't think Julia ML ecosystem by itself will ever expand to these areas.
On Sun, Nov 15, 2015 at 1:43 AM, Christof Stocker < [email protected]> wrote: > A pure Julia ML ecosystem is something that is actively being worked > on/towards. Naturally large problem sizes are one big reason that people > are interested in working on this. It just takes time to flesh it out to > something that people are used to from languages like python or R. As I see > it, Julia is different and offers unique opportunities for connecting > research, education, and application. It is an interesting journey to > figure out how to get the most out of what the language has to offer. > > > On 2015-11-14 23:20, Andrei wrote: > >> >> All of these makes me think that similar framework for big data analytics >> written in pure Julia could bypass many of these issues and generate more >> interest in Julia community. I wonder if somebody would want to take part >> in such a challenge. >> > >
