<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>enterprise on DataScience.LA</title><link>https://datasciencela.github.io/tag/enterprise/</link><description>Recent content in enterprise on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Thu, 29 Oct 2015 15:11:15 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/enterprise/index.xml" rel="self" type="application/rss+xml"/><item><title>R and Impala: it's better to KISS than using Java</title><link>https://datasciencela.github.io/r-and-impala-its-better-to-kiss-than-using-java/</link><pubDate>Thu, 29 Oct 2015 15:10:25 -0700</pubDate><guid>https://datasciencela.github.io/r-and-impala-its-better-to-kiss-than-using-java/</guid><description>&lt;p&gt;One of the best things I like in working at &lt;a href="http://card.com"&gt;CARD.com&lt;/a&gt; is that I am not only crunching &lt;a href="http://r-project.org"&gt;R&lt;/a&gt; code in 24/7, but I also have the chance to interact with and improve the related data infrastructure with some interesting technologies.&lt;/p&gt;&#10;&lt;p&gt;After joining the company in January, I soon realized that while &lt;a href="http://www.cloudera.com/content/cloudera/en/products-and-services/cdh/impala.html"&gt;Impala&lt;/a&gt; is a very &lt;a href="http://allegro.tech/2015/06/fast-data-hackathon.html"&gt;powerful&lt;/a&gt; database for handling data that do not comfortably fit in MySQL, it&amp;rsquo;s still not as fast as one might expect when querying large amount of data from R. Sometimes I had to wait several minutes for a query to run! So I used this spare time to think about how to improve the workflow.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/r-and-impala-its-better-to-kiss-than-using-java/feature.png"/></item><item><title>DW/BI/Analytics Meetup Summary: Inaugural Event</title><link>https://datasciencela.github.io/dwbianalytics-meetup-summary-inaugural-event/</link><pubDate>Sun, 15 Feb 2015 13:45:12 -0800</pubDate><guid>https://datasciencela.github.io/dwbianalytics-meetup-summary-inaugural-event/</guid><description>&lt;p&gt;The &lt;a href="http://www.meetup.com/LA-Data-Warehouse-Business-Intelligence-Analytics/"&gt;LA Data Warehouse, Business Analytics and Analytics meetup&lt;/a&gt; had a fantastic first event with a great audience (full house), an awesome host (thanks &lt;a href="http://www.edmunds.com/"&gt;Edmunds&lt;/a&gt;: &lt;a href="https://www.linkedin.com/in/punnooseisaac"&gt;Punnoose&lt;/a&gt; for taking the lead and the Team onsite and helping) and a great mix of 3 talks overviewing the field.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/dwbianalytics-meetup-summary-inaugural-event/feature.jpg"/></item><item><title>Packrat presentation at useR! 2014</title><link>https://datasciencela.github.io/packrat-presentation-at-user-2014/</link><pubDate>Fri, 26 Sep 2014 11:25:44 -0700</pubDate><guid>https://datasciencela.github.io/packrat-presentation-at-user-2014/</guid><description>&lt;p&gt;There comes a time in a software toolchain’s lifecycle where the focus shifts from developer productivity and preference to the ability to deploy solutions in production which coexist gracefully in the enterprise. &lt;a href="http://en.wikipedia.org/wiki/Configuration_management"&gt;Configuration management&lt;/a&gt; and dependency management are two of the first points of friction in this transition, as the free-wheeling methods preferred by developers are at odds with the structured methods and isolation desired by administrators, who serve as gatekeepers to enterprise deployment. R is currently at this very point in the transition, in the midst of transformation from a language and environment used primarily in academic research to its growing place in the enterprise. At &lt;a href="http://user2014.stat.ucla.edu/"&gt;useR! 2014&lt;/a&gt; there were a &lt;a href="http://user2014.stat.ucla.edu/abstracts/talks/223_Smith.pdf"&gt;series&lt;/a&gt; &lt;a href="http://user2014.stat.ucla.edu/abstracts/talks/901_Allaire.pdf"&gt;of&lt;/a&gt; &lt;a href="http://user2014.stat.ucla.edu/abstracts/talks/61_Elprin.pdf"&gt;presentations&lt;/a&gt; on how dependency management can be addressed within the R ecosystem, ranging from “provider” side options (e.g. freezing CRAN and private repositories) to the client side options, where a project maintains its own dependencies as part of its codebase.&lt;/p&gt;</description></item><item><title>R in Production - Panel Discussion - LA R meetup @ useR! 2014</title><link>https://datasciencela.github.io/r-in-production-panel-discussion-la-r-meetup-user-2014/</link><pubDate>Thu, 21 Aug 2014 14:27:50 -0700</pubDate><guid>https://datasciencela.github.io/r-in-production-panel-discussion-la-r-meetup-user-2014/</guid><description>&lt;p&gt;&lt;em&gt;(Please click &lt;a href="https://www.youtube.com/watch?v=Izg85RV7OGs"&gt;here&lt;/a&gt; if the video above doesn’t load.)&lt;/em&gt;&lt;/p&gt;&#10;&lt;p&gt;The video above is from an event at &lt;a href="http://user2014.stat.ucla.edu/"&gt;useR! 2014&lt;/a&gt; consisting of &lt;a href="https://datasciencela.github.io/r-in-production-opening-talk-by-yasmin-lucero-la-r-meetup-user-2014/"&gt;Yasmin Lucero’s presentation&lt;/a&gt; plus an incredible panel discussion, which is included here. The title of the panel was “R’s Place in the Production Environment”, and was moderated by &lt;a href="https://www.linkedin.com/in/tareefk"&gt;Tareef Kawaf&lt;/a&gt;, President at &lt;a href="http://www.rstudio.com/"&gt;RStudio&lt;/a&gt;. Five high-profile members of the R community were on this panel, spanning the gamut of the enterprise:&lt;/p&gt;</description></item><item><title>R in Production - Opening Talk by Yasmin Lucero - LA R meetup @ useR! 2014</title><link>https://datasciencela.github.io/r-in-production-opening-talk-by-yasmin-lucero-la-r-meetup-user-2014/</link><pubDate>Thu, 21 Aug 2014 13:54:56 -0700</pubDate><guid>https://datasciencela.github.io/r-in-production-opening-talk-by-yasmin-lucero-la-r-meetup-user-2014/</guid><description>&lt;p&gt;&lt;em&gt;(Please click &lt;a href="https://www.youtube.com/watch?v=O5H6jKyLBqA"&gt;here&lt;/a&gt; if the video above doesn’t load.)&lt;/em&gt;&lt;/p&gt;&#10;&lt;p&gt;During useR! 2014, the &lt;a href="https://datasciencela.github.io/meetups-r/"&gt;LA R Meetup&lt;/a&gt; (run by &lt;a href="https://datasciencela.github.io/team/#szilard"&gt;Szilard Pafka&lt;/a&gt;) organized an event focused on R’s status in industry. This event took the form of a presentation by &lt;a href="http://yasminlucero.net/"&gt;Yasmin Lucero&lt;/a&gt;, Senior Statistician at AOL-Gravity, followed by a &lt;a href="https://datasciencela.github.io/r-in-production-panel-discussion-la-r-meetup-user-2014/"&gt;panel discussion&lt;/a&gt;. The video above captures the presentation, where Yasmin provides an excellent overview of the current status of R in the enterprise and breaks down the taxonomy of solutions for which R is commonly chosen as a development platform. From batch reporting and dashboards for internal deployment to full blown public facing analytics data products, R has certainly found a home in business. Yasmin’s talk concludes with specific, operational aspects of managing R in the enterprise, such as library and dependency management. Enjoy the video and don’t forget to tune in for Part 2 of this session where the panel discussed “R’s Place in the Production Environment.”&lt;/p&gt;</description></item></channel></rss>