<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">I still don’t know if we’ll have the resources yet, so this is hypothetical right now.<div class="">But yup, we definitely need a schema language and we can fix up some issues if it all works out!</div><div class="">Just JSONiq, I don’t have much hope for XQuery (because of XML underneath).</div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">On 25 Jun 2015, at 18:01, Ihe Onwuka <<a href="mailto:ihe.onwuka@gmail.com" class="">ihe.onwuka@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class=""><br class=""><div class="gmail_extra"><br class=""><div class="gmail_quote">On Thu, Jun 25, 2015 at 10:49 AM, Pavel Velikhov <span dir="ltr" class=""><<a href="mailto:pavel.velikhov@gmail.com" target="_blank" class="">pavel.velikhov@gmail.com</a>></span> wrote:<br class=""><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word" class=""><br class=""><div class=""><span class=""><blockquote type="cite" class=""><div class="">On 25 Jun 2015, at 17:10, Ihe Onwuka <<a href="mailto:ihe.onwuka@gmail.com" target="_blank" class="">ihe.onwuka@gmail.com</a>> wrote:</div><br class=""><div class=""><div dir="ltr" class=""><div class="gmail_extra"><br class=""><div class="gmail_quote">On Wed, Jun 24, 2015 at 12:30 PM, Pavel Velikhov <span dir="ltr" class=""><<a href="mailto:pavel.velikhov@gmail.com" target="_blank" class="">pavel.velikhov@gmail.com</a>></span> wrote:<br class=""><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><br class="">
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<br class="">
preparation/transformation/cleaning/merging stuff.<br class="">
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> 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.<br class="">
><br class="">
> Michael Kay<br class="">
> Saxonica<br class="">
><br class=""></div></div></blockquote><div class=""><br class=""></div><div class=""> The data prep/transformation/cleaning/merging stuff is currently the domain of R and Python. </div></div></div></div></div></blockquote><div class=""><br class=""></div></span><div class="">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.</div><div class="">In this case folks would never use R, they use all sorts of other stuff, including Python.</div><span class=""><br class=""></span></div></div></blockquote><div class=""><br class=""></div><div class="">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.</div><div class=""><br class=""></div></div></div></div>
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<div class="">С уважением,</div><div class="">Павел Велихов</div><div class=""><a href="mailto:pavel.velikhov@gmail.com" class="">pavel.velikhov@gmail.com</a></div>
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