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dataspora.com

Company blog · dataspora.com/blogdataprogramming

dataspora.com is the company blog at dataspora.com, writing about data and programming. Since 2009, 20 different Hacker News readers have linked it 27 times, most often “The data singularity is here ”. No feed was found, so read it on the site itself.

27mentions?
20HN people?
2009–2013first – last linked?
Links on Hacker News per year · peak 11 in 2010

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

HN readers link dataspora.com for data science and statistics writing, such as a post on data scientists that Hal Varian favours and a comparison of map-reduce languages for Hadoop. Several commenters cite it as a source.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. The data singularity is here
    3 people · 3 mentions · first linked 2010-03-08
  2. Is XML bad for Big Data? Mike Driscoll thinks it is
    3 people · 3 mentions · first linked 2009-08-23
  3. Mining the tar sands of big data
    2 people · 2 mentions · first linked 2011-02-14
  4. How Google and Facebook are using R
    2 people · 2 mentions · first linked 2009-02-20
  5. Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages
    2 people · 2 mentions · first linked 2011-04-26
  6. The Three Sexy Skills of Data Geeks
    2 people · 2 mentions · first linked 2009-05-28

What Hacker News says?

  1. 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/

    Comment linking /blog/sexy-data-geeks/

    on “Stanford CS Book: Mining of Massive Datasets [pdf]”
  2. Submitted The Three Sexy Skills of Data Geeks as a story · 88 points

    HN discussion
  3. >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 sho…

    Comment linking /2009/05/sexy-data-geeks/

    on “A Practical Intro to Data Science”
  4. Submitted How Google and Facebook are using R as a story · 81 points

    HN discussion
  5. 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-c...

    Comment linking /2011/04/pigs-bees-and-elephants-a-comparison-of-eight-mapreduce-languages/

    on “Clojure on Hadoop: A New Hope”
  6. Submitted The data singularity is here as a story · 39 points

    HN discussion
  7. 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…

    Comment linking /blog/predictive-analytics-using-r/

    on “Why Learn R? It's the language of Statistics”
  8. Submitted The data singularity is here as a story · 17 points

    HN discussion
  9. Submitted The Seven Secrets of Successful Data Scientists as a story · 9 points

    HN discussion
  10. Submitted The seven secrets of successful data scientists as a story · 9 points

    HN discussion
  11. Submitted Mining the tar sands of big data as a story · 8 points

    HN discussion
  12. Submitted Is XML bad for Big Data? Mike Driscoll thinks it is as a story · 8 points

    HN discussion
  13. Submitted Mining the Tar Sands of data as a story · 7 points

    HN discussion
  14. Submitted SQL is Dead. Long Live SQL as a story · 7 points

    HN discussion
  15. Submitted Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages as a story · 5 points

    HN discussion
  16. Submitted How XML Threatens Big Data as a story · 4 points

    HN discussion
  17. Submitted How XML Threatens Big Data as a story · 3 points

    HN discussion
  18. Submitted Mining Lending Club's Goldmine of Loan Data: Visualizations by State as a story · 2 points

    HN discussion
  19. Submitted The data singularity, part 2: Human-sizing big data as a story · 2 points

    HN discussion
  20. Submitted The Data Singularity is Here as a story · 2 points

    HN discussion
  21. Submitted Sexy skills of data geeks as a story · 2 points

    HN discussion
  22. Submitted How XML Threatens Big Data (2009) as a story · 2 points

    HN discussion
  23. Submitted SQL is Dead. Long Live SQL (2009) as a story · 1 points

    HN discussion
  24. Submitted Secrets of Successful Data Scientists as a story · 1 points

    HN discussion
  25. Submitted Why Big Data Geeks Should Stop Using XML as a story · 1 points

    HN discussion
  26. Submitted The Rise of the Data Web, the Fall of XML as a story · 1 points

    HN discussion
  27. Submitted Is big data at a tipping point? as a story · 1 points

    HN discussion

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