I still don’t know if we’ll have the resources yet, so this is hypothetical right now. But yup, we definitely need a schema language and we can fix up some issues if it all works out! Just JSONiq, I don’t have much hope for XQuery (because of XML underneath).
> On 25 Jun 2015, at 18:01, Ihe Onwuka <[email protected]> wrote: > > > > On Thu, Jun 25, 2015 at 10:49 AM, Pavel Velikhov <[email protected] > <mailto:[email protected]>> wrote: > >> On 25 Jun 2015, at 17:10, Ihe Onwuka <[email protected] >> <mailto:[email protected]>> wrote: >> >> >> On Wed, Jun 24, 2015 at 12:30 PM, Pavel Velikhov <[email protected] >> <mailto:[email protected]>> wrote: >> >> A lot of people are content with MongoDB to store the JSONs. So a killer >> use-case needs to look beyond dumb storage of JSONs. Maybe focus on the >> preparation/transformation/cleaning/merging stuff. >> >> >> > >> > But the biggest factor was probably that the move to minicomputer >> > architecture created a discontinuity that forced people to consider >> > change. You need to do two things: convince people that the new technology >> > is better (or at least, is cool), and give them a big kick up the backside >> > to get them out of their comfort zone. >> > >> > Michael Kay >> > Saxonica >> > >> >> The data prep/transformation/cleaning/merging stuff is currently the domain >> of R and Python. > > You must be talking about “data science” that is used internally in the > organization. I’m talking more about data-driven Web sites, that have a big > data component in their products. > In this case folks would never use R, they use all sorts of other stuff, > including Python. > > > I'm talking generally to be honest but with data science as a prime example > but there are several others e.g web scraping. There is a marked preference > for other tools to do what XQuery etc are good at - hence there is a people > issue. > С уважением, Павел Велихов [email protected]
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