PPT-Measuring SQL Execution Outliers

to track performance better Maxym Kharchenko 500 ms A very important SQL Typical elapsed time 100 ms Bad elapsed time gt 200 ms MERGE INTO orderstable USING dual ON dualdummy. All rights reserved This tip sheet was developed in conjunction with the Great Trays TM Partnership dap with permission by ina Ba no inda Die an and sk ey from hn al ta tool art of Io old tar le nu at in 20 Io Nu trition Proj Io De ar me of Edu atio regression models, the outliers can affect the estimated correlation coefficient [10]. Presence of outliers in training and testing data can bring about several difficulties for methods of decision- k. -center clustering. Ilya Razenshteyn (MIT). Silvio . Lattanzi. (Google), Stefano . Leonardi. (. Sapienza. University of Rome) and . Vahab. . Mirrokni. (Google). k. -Center clustering. Given:. Data Analysis & Computers II. Slide . 1. Detecting Outliers. Detecting univariate outliers. Detecting multivariate outliers. SW388R7. Data Analysis & Computers II. Slide . 2. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.. Identifying Outliers: More about this interpolation stuff..... Whenever the depth of a median or a fourth is a decimal (??.5), then you must interpolate. That is, you must find thevalue of the Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. Jimmy Johansson, Patric Ljung, Mikael Jern, Matthew Cooper . NVIS- Norrkoping Visualization and Interaction Studio, Linkoping University, Sweden . Presented by . Xinyu. . Chang. Kent State University. Validating and Preparing your data. Lyytinen & Gaskin . Data Screening. Data screening . (also known for us as “data screaming”) ensures . your data is . “clean” . and ready to go before you conduct . The Story of Success. By Malcolm Gladwell . What is an Outlier?. out-li-. er. . (n.). 1. something that is situated away from or classed differently from a main or related body. . 2. a statistical observation that is markedly different in value from the others of the sample. . 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.. Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution. Model Applied to PGAS Computations. David . Ozog. *. , Allen . Malony. *. , Jeff Hammond. ‡. , . Pavan. . Balaji. † . * University . of . Oregon. ‡ . Intel . Corporation. † . Argonne . National . gefo– Europe‘s leading specialist for density measuring instrumentsProduct