501 search results for "hadoop"

The R-Podcast Episode 14: Tips and Tricks for using R-Markdown

November 18, 2015
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The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further

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Big RAM is eating big data – Size of datasets used for analytics

November 18, 2015
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Big RAM is eating big data – Size of datasets used for analytics

With so much hype about “big data” and the industry pushing for “big data” analytical...

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The R-Podcast Episode 14: Tips and Tricks for using R-Markdown

November 18, 2015
By

The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across...

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The Data-Driven Weekly #1.2

November 17, 2015
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The Data-Driven Weekly #1.2

Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is …Continue reading →

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R and Impala: it’s better to KISS than using Java

October 29, 2015
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R and Impala: it’s better to KISS than using Java

One of the best things I like in working at CARD.com is that I am...

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SparkR quick start that works

October 4, 2015
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SparkR quick start that works

If you’re following along the SparkR Quick Start, you’ll notice that the instructions are not consistent with a more recent …Continue reading →

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Are you headed to Strata? It’s next week!

September 23, 2015
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Are you headed to Strata? It’s next week!

RStudio will again teach the new essentials for doing (big) data science in R at this year’s Strata NYC conference, September 29 2015 (http://strataconf.com/big-data-conference-ny-2015/public/schedule/detail/44154).  You will learn from Garrett Grolemund, Yihui Xie, and Nathan Stephens who are all working on fascinating new ways to keep the R ecosystem apace of the challenges facing those who work with data. Topics include: R Quickstart: Wrangle,

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Notes from the Kölner R meeting, 18 September 2015

September 22, 2015
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Notes from the Kölner R meeting, 18 September 2015

Last Friday the Cologne R user group came together for the 15th time. Since its inception over three years ago the group evolved from a small gathering in a pub into an active data science community, covering wider topics than just R. Still, R is the link and clue between the different interests. Last Friday's agenda was a...

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Six lines to install and start SparkR on Mac OS X Yosemite

September 20, 2015
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Six lines to install and start SparkR on Mac OS X Yosemite

I know there are many R users who like to test out SparkR without all the configuration hassle. Just these six lines and you can start SparkR from both RStudio and command line. One line for Spark and SparkR Apache Spark is a fast and general-purpose cluster computing system SparkR is an R package that...

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From functional programming to MapReduce in R

September 17, 2015
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From functional programming to MapReduce in R

The MapReduce paradigm has long been a staple of big data computational strategies. However, properly leveraging MapReduce can be a …Continue reading →

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