PPT-MapReduce 2 http://www.google.org/flutrends/ca/

2012 Average Searches Per Day 5134000000 Motivation Process lots of data Google processed about 24 petabytes of data per day in 2009 A single machine cannot serve all the data. By using Google Cloud Print you can print from anywhere with applications or services supporting Google Cloud Print Important LAN connection with the machine and internet connection are required to register the machine and to print with Google Cloud Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. MapReduce Framework . Michael T. Goodrich. Dept. of Computer Science. MapReduce. A . framework for designing computations for large clusters of computers.. Decouples . location . from data and computation. By . Yufei. Tao, . Wenqing. . Lin, . Xiaokui. . Xia. Edited by Tuval Rotem. First topic:. What is MapReduce. But first…. Regular day at work. You’re doing your regular work while suddenly your boss, . Presented By. Shefali. . Gundecha. Srinivas . Narne. Yash. Kulkarni. Papers to be discussed…. Y. Shan, B. Wang, J. Yan, Y. Wang, N. Xu, and H. Yang, . " FPMR: MapReduce Framework on FPGA: A Case Study of . Yasin N. Silva and Jason Reed. Arizona State University. 1. This work is licensed under a Creative Commons Attribution-. NonCommercial. -. ShareAlike. 4.0 International License. See http://creativecommons.org/licenses/by-nc-sa/4.0/ for details.. Benefits:. Google doodles. What to do. :. Students design a Google style doodle to summarise a topic. These can also be used as starters for lessons where other students have to identify the features. It can also be an extension activity to research the event.. Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. ”. 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. Graph. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Online in 2007. Acquired by Google in 2010. Read-only in 2014. Basis for Google Knowledge Graph. Here are some of the most strange moments ever caught on camera!

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football, basketball, soccer, tennis, and more!
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In this video we commentate/report about some strange moments that happened with a main focus in sports, we also add edits in the clips to make it more entertaining!
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Thanks Elliot for helping with the voice over https://shrinklink.in/HoUPYHka https://uii.io/xqqhLc Source. MapReduce. : Simplified Data Processing in Large Clusters. . Jefferey. Dean and Sanjay . Ghemawat. . OSDI 2004. Example Scenario. 3. Genome data from roughly . one million users. 125 MB of data per user. Jeffrey Dean & . Sanjay . Ghemawat. Appeared in:. OSDI '04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA, December, 2004. . Presented by: . Hemanth. . Makkapati. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Freebase online in 2007. Acquired by Google in 2010. Readonly. in 2014. Decommissioned in 2016.