PPT-Designing Efficient Map-Reduce Algorithms
Author : trish-goza | Published Date : 2017-08-28
A Common Mistake SizeCommunication TradeOff Specific Tradeoffs Jeffrey D Ullman Stanford University Research Is Joint Work of Foto Afrati NTUA Anish Das Sarma
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Designing Efficient Map-Reduce Algorithms: Transcript
A Common Mistake SizeCommunication TradeOff Specific Tradeoffs Jeffrey D Ullman Stanford University Research Is Joint Work of Foto Afrati NTUA Anish Das Sarma Google Semih. S. A. L. S. A. . HPC Group . http://. salsahpc.indiana.edu. School of Informatics and Computing. Indiana University. Judy . Qiu. . Thilina. . Gunarathne. . CAREER Award. Outline. Iterative . Lecture 9. Outline. Map Reduce, cont.. Index compression. [Amazon Web Services]. Map Reduce. Map: (key, value) . . . list(key. ’, value’). Reduce: (key’, . list(value. ’) . . list (value’). MapReduce. Outline. MapReduce. Architecture. MapReduce. Internals. MapReduce. Examples. JobTracker. Interface. MapReduce. : A Real World Analogy. Coins Deposit. ?. MapReduce. : A Real World Analogy. Scaled-out Architecture. Robert L Davis. www.sqlsoldier.com. www.sqldbamaster.com. @. SQLSoldier. Robert L Davis. Principal DBA at Coinstar, Inc.. Greater Seattle Area | Information Technology and Services. Thilina Gunarathne (. tgunarat@indiana.edu. ). Judy . Qiu (. xqiu@indiana.edu. ). Dennis . Gannon (. dennis.gannon@microsoft.com). Introduction. Three disruptions. Big Data. MapReduce. Cloud Computing. Large Scale Duplicate Detection. Prof. Felix . Naumann. , . Arvid. . Heise. Agenda. Big Data. Word Count Example. Hadoop. Distributed File System. Hadoop. . Map/Reduce. Advanced . Map/Reduce. Stratosphere. Year 13. Lesson Objectives. To understand the factors to be taken into account when designing a good HCI.. The factors…. Consistency of signposting and pop up information. Clear . navigational . structure. http. ://. SALSA. hpc.indiana.edu. . School of Informatics and Computing. Indiana University. Indexed. HBase. Analysis Tools for . Data Enabled Science. Summer Workshop on Algorithms and . Cyberinfrastructure. Instructor: Arun Sen. Office: BYENG . 530. Tel: 480-965-6153. E-mail: asen@asu.edu. Office Hours: . MW 3:30-4:30 or by appointment. TA: . TBA. Office. : TBA. Tel: . TBA. E-mail: . TBA. Office Hours. : . Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. 1. Word Count Example. We have a large file of words, one word to a line. Count the number of times each distinct word appears in the file. Sample application: analyze web server logs to find popular URLs. Madhu M Nayak Assistant Professor, Department of C SE, GSSSIETW, Mysuru Pradeep.S Assistant Professor, Department of C SE, GEC, Kushal Nagar Abstract - Due to the increasing popularity of cheap Jiaul. Paik. Email:. . jia.paik@gmail.com. Today’s Topics. Map-reduce: Additional Details. Inverted Index using Map-reduce. Introduction to Spark. Spark Demo. Map-reduce Internals: Additional Details. Robert Bogue. About . Me. Robert Bogue, . Rob.Bogue@ThorProjects.com. MVP for 7 years. Over 100 publishing projects including author credit on 18 books. Microsoft Patterns and Practices Champion and team member for the SharePoint Guidance.
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