KDnuggets Home » News » 2014 » Mar » Top Tweets » Top KDnuggets tweets, Mar 14-16: Is Apache Spark the Next Big Thing? R Meta-Book – best CRAN posts assembled ( 14:n06 )

Top KDnuggets tweets, Mar 14-16: Is Apache Spark the Next Big Thing? R Meta-Book – best CRAN posts assembled


Apache Spark promises to be the Next Big Thing in #Big Data - 100x faster than #Hadoop; An R Meta-Book - best CRAN posts assembled; The Beauty of pi - the fastest (and most incomprehensible) formula; Tips for Hiring Data Scientists: look for quants with business hustle.



Most popular @KDnuggets tweets for Mar 14-16 were


Most viewed:
Is Apache Spark the Next Big Thing in #Big Data? Claims 100x faster than #Hadoop in memory, 10x faster on disk buff.ly/1nqwxgP Apache Spark

Most Retweeted:
Is Apache Spark the Next Big Thing in #Big Data? Claims 100x faster than #Hadoop in memory, 10x faster on disk buff.ly/1nqwxgP

Most Favorited:
An R Meta-Book - best CRAN posts assembled into "Intro. to Probability and Statistics with Applications" #rstats buff.ly/1giWx3T

Top 10 Tweets
  1. Is Apache Spark the Next Big Thing in #Big Data? Claims 100x faster than #Hadoop in memory, 10x faster on disk buff.ly/1nqwxgP
  2. An R Meta-Book - best CRAN posts assembled into "Intro. to Probability and Statistics with Applications" #rstats buff.ly/1giWx3T
  3. The Beauty of π (pi) - the fastest (and most incomprehensible) formula for pi from Ramanujan The fastest and most incomprehensible formula for pi from Ramanujanbuff.ly/1eBJgnE
  4. Tips for Hiring Data Scientists: look for quants with business hustle, intellectual curiosity, dont filter on degree buff.ly/1gDxbi0
  5. Microsoft Machine Learning Smackdown and best Machine Learning/Statistics add-ins for Excel buff.ly/1gqvQPh
  6. New book: Big Data, Mining, and Analytics: Components of Strategic Decision Making bit.ly/1iNGApS
  7. Sloppy researchers beware. METRICS center at Stanford, led by Dr. Ioannidis, will wage war on sloppy science buff.ly/1kVChgN
  8. What happened to Malaysian Air Flight 370? Can the crowd integrate disparate information? #MH370 bit.ly/1eBBMkq
  9. Lead a @DataKind chapter, bring together data scientists and mission-driven organizations to tackle our big problems buff.ly/1kVBKvo
  10. Lessons from Pixar, Tableau: Not much use presenting data w. convoluted reports - visualizations should be beautiful buff.ly/1gx6StM

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