PPT-Map-Reduce and the New Software Stack

Mining of Massive Datasets Jure Leskovec Anand Rajaraman Jeff Ullman Stanford University httpwwwmmdsorg Note to other teachers and users of these slides We would be delighted if you found this our material useful in giving your own lectures Feel free to use these slides verbatim or to modify them to fit your own needs. 1. Abstractions On Top Of . Hadoop. We’ve decomposed some algorithms into a map-reduce “workflow” (series of map-reduce steps). naive Bayes training. naïve Bayes testing. phrase scoring. How else can we express these sorts of computations? Are there some common special cases of map-reduce steps we can parameterize and reuse?. or, Event-driven Programming is Not the Opposite of Threaded Programming. Atul. . Adya. , Jon Howell, Marvin . Theimer. , William J. . Bolosky. , John R. Douceur. Microsoft Research. Presented by . Poonam. Handpicked Articles in Tech, Culture & News . reading habits. reading problems. stack. AGENDA. what. where. why. READING HABITS. What Do You Read?. News ,Tech, Entertainment. Where Do You Read?. Social, Web, Apps. Prof. Dr. Bertrand Meyer. Lecture 2: Modularity and Abstract Data Types. Reading assignment for this week. OOSC, chapters. 3: Modularity. 6: Abstract data types. In particular pp.153-159,. . Contracts, Trusted Components. and . Patterns. Bertrand Meyer. Manuel . Oriol. Till Bay. ETH, Fall . 2008. Chair of Software Engineering. 2. Today & next lecture. Aims of the course. Introduction to issues of software quality. Thilina Gunarathne (. tgunarat@indiana.edu. ). Judy . Qiu (. xqiu@indiana.edu. ). Dennis . Gannon (. dennis.gannon@microsoft.com). Introduction. Three disruptions. Big Data. MapReduce. Cloud Computing. ish. ) Frameworks. William Cohen. 1. Outline. More concise languages for map-reduce pipelines. Abstractions built on top of map-reduce. General comments. Specific systems. Cascading, Pipes. PIG, Hive. Basics. Divide and conquer. Partition large problem into smaller . subproblems. Worker work on . subproblems. in parallel. Threads in a core, cores in multi-core processor, multiple processor in a machine, machines in a cluster. The stack is a special area in memory used by the CPU to store . register information . or general data information during program . execution. The . stack has a top and a bottom. The . SP register is the special register that controls the address . La gamme de thé MORPHEE vise toute générations recherchant le sommeil paisible tant désiré et non procuré par tout types de médicaments. Essentiellement composé de feuille de morphine, ce thé vous assurera d’un rétablissement digne d’un voyage sur . 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. VarthagamSoft - India\'s best ERP software provider