PPT-Reining in the Outliers in MapReduce

Jobs using Mantri Ganesh Ananthanarayanan Srikanth Kandula Albert Greenberg Ion Stoica Yi Lu Bikas Saha Ed Harris UC Berkeley Microsoft 1 MapReduce Jobs. and Managing Missing Data. R. Michael Haynes, PhD. . rhaynes@tarleton.edu. Tarleton State University. A PRIORI MARCH 1, 2012. Assistant Vice President for Student Life Studies. POST HOC FEBRUARY 29, 2012. , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. What is an outlier?. Sometimes, distributions are characterized by extreme values that differ greatly from the other observations. These extreme values are called outliers. . How do you know if a data point is an outlier?. Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. Webinar basics. How do I ask questions during the webinar?. Recorded webinar and PowerPoint slides will be available after the webinar.. Special thanks to our funders:. Your presenters. Amy Downs. Senior Director for . Jimmy Johansson, Patric Ljung, Mikael Jern, Matthew Cooper . NVIS- Norrkoping Visualization and Interaction Studio, Linkoping University, Sweden . Presented by . Xinyu. . Chang. Kent State University. Parallel Computing. MapReduce. Examples. Parallel Efficiency. Assignment. Parallel Computing. Parallel efficiency with . p. processors. Traditional parallel computing:. focus on compute intensive tasks. Big thanks to the OTW . organisers. . and companies supporting it. Eric Grancher, . CERN IT. 1. Documents at . https. ://indico.cern.ch/event/459090. /. . Outliers matter. 2. Human perception (personal). Claim & Purpose. Prologue & Chapter 1 - 2. ~ Claim ~. People . are considered successful when they . express . particular traits and characteristics: . diligence. , . self-sacrifice. , . intelligence. The Practice of Statistics in the Life Sciences. Third Edition. © . 2014 . W.H. Freeman and Company. Objectives (PSLS . Chapter . 2). Describing distributions with numbers. Measure of center: mean and median. Olivier . Dupriez. World Bank, Development Data Group. odupriez@worldbank.org. 6 June 2013. Initial objective. Calculate poverty PPPs. Had price data at basic heading level from the ICP ; needed consumption shares “at the poverty line” for the same breakdown to be used as weights.. Bell Ringer . Mastery is a word that you have heard a lot throughout this year in regards to grades. Consider what Malcolm Gladwell says about mastery and what must be done in order for all individuals to achieve mastery. What is being done here to help you to achieve mastery and success in your classes? What could be done in order to improve your ability to achieve mastery and success? (. ”. Cathy O’Neil & Rachel . Schutt. , 2013. R & Hadoop. Compute squares. 2. R. # create a list of 10 integers. ints. <- 1:10. # equivalent to . ints. <- c(1,2,3,4,5,6,7,8,9,10). # compute the squares. Jimmy Lin. The iSchool. University of Maryland. Monday, March 30, 2009. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States. See http://creativecommons.org/licenses/by-nc-sa/3.0/us/ for details.