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Dataspora Blog
dataspora.com · Company blog · on HN since 2009
Mike Driscoll's Dataspora blog covers data science, big data, R, MapReduce and SQL.
What HN saysHN commenters link its comparison of eight MapReduce languages as entertaining, and its posts on how Google uses R for prototyping.
20HN people shared it
4linked it in comments
23stories submitted
300story points
14 years agolast shared
2009people per year2026
Most-shared posts
- 1Is XML bad for Big Data? Mike Driscoll thinks it is4 people · 18 points · first shared 2009 · 1 comments on HN
- 2The Three Sexy Skills of Data Geeks3 people · 90 points · first shared 2009 · 12 comments on HN
- 3The data singularity is here3 people · 58 points · first shared 2010 · 9 comments on HN
- 4The seven secrets of successful data scientists3 people · 19 points · first shared 2010 · discussion on HN
- 5How Google and Facebook are using R2 people · 81 points · first shared 2009 · 22 comments on HN
- 6Mining the tar sands of big data2 people · 15 points · first shared 2011 · 2 comments on HN
- 7Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages2 people · 5 points · first shared 2011 · discussion on HN
- 8SQL is Dead. Long Live SQL1 people · 7 points · first shared 2009 · discussion on HN
- 9Mining Lending Club's Goldmine of Loan Data: Visualizations by State1 people · 2 points · first shared 2011 · 1 comments on HN
- 10The data singularity, part 2: Human-sizing big data1 people · 2 points · first shared 2011 · discussion on HN
- 11SQL is Dead. Long Live SQL (2009)1 people · 1 points · first shared 2012 · discussion on HN
- 12Is big data at a tipping point?1 people · 1 points · first shared 2009 · discussion on HN
- 13The Rise of the Data Web, the Fall of XML1 people · 1 points · first shared 2009 · discussion on HN
- 14Sexy data geeks1 people · first shared 2013
What HN people wrote when they linked it
jak0 · 2010-12-08
If you guys mostly have CS background you should definitely check this out :
http://www-stat.stanford.edu/~tibs/ElemStatLearn/
It's Data Mining from a statistician point of view. You can download the entire book for free on the website and the graphs and computations are done with R.
This book is also one of Hal Varian's favourites:
http://www.dataspora.com/blog/sexy-data-geeks/
SkyMarshal · 2013-04-08
>Dang, I wish I could find the link to this...an HP data scientist wrote a short essay (something like "Intro to Data Science") and said that the proper collection and cleaning of data is often seen as dirty grudge work that has to be done (by someone else, hopefully) before the real groundbreaking work can be done. However, the author said, this dirty grudge work is the real work.
It's called data munging. Good short article on dataspora about it a while back:
http://www.dataspora.com/2009/05/sexy-data-geeks/
alexatkeplar · 2011-11-03
This is an entertaining comparison of 8 different map-reduce languages for Hadoop, including a flame-tastic take on Cascalog/Clojure: http://www.dataspora.com/2011/04/pigs-bees-and-elephants-a-comparison-…
wildanimal · 2010-06-25
Google apparently runs R on desktops (http://dataspora.com/blog/predictive-analytics-using-r/) and ports it to Python or C++ once their ideas are tested (for production code). Having said that if your list of functions are growing, try packaging up in a library - there are many tutorials available on the web. If your data is becoming big, try using RHIPE (Hadoop integration), bigmemory, snow, or a number of other packages:
http://cran.r-project.org/web/views/HighPerformanceComputing.html