'Key value pair' presentation slideshows

Higher -order functions!

1.14k views • 94 slides

Bioinformatics ?????????? ??? jtang@cse.sc 13928761660

Bioinformatics ?????????? ??? jtang@cse.sc.edu 13928761660. !/usr/bin/perl -w use Bio; use strict; use warnings; my $DNA = fasta_read(); print "First ", dna2peptide($DNA), " "; print "Second ", dna2peptide(substr($DNA, 1)), " "; print "Third ", dna2peptide(substr($DNA, 2)), " ";

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Building Mobile Web Applications Using HTML5 & CSS3

Building Mobile Web Applications Using HTML5 & CSS3 . 5 Week Training Course August 7 - Sept. 4, 2012 Instructors Tom Cornyn & Pankil Patel Presented By South Bay Mobile User Group. Week 1 Class Overview. South Bay Mobile User Group. Class Application Projects.

675 views • 54 slides

Map/Reduce

Map/Reduce. 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. Agenda. Big Data Word Count Example Hadoop Distributed File System

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SCORM: e-Learning Standard

SCORM: e-Learning Standard. Asst.Prof.Dr.Surasak Mungsing. By: Akshay Kumar. SCORM. Sharable Content Object Reference Model. Topic. What is SCORM? History Connection with e-learning Application of XML Technology Technical description about SCORM Why it is important to us?.

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MapReduce , HBase , and Hive

MapReduce , HBase , and Hive. University of California, Berkeley School of Information IS 257: Database Management. MapReduce and Hadoop. MapReduce developed at Google MapReduce implemented in Nutch Doug Cutting at Yahoo!

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HADOOP

HADOOP. Nagarjuna K. nagarjuna@outlook.com. Why and What Hadoop ?. A tool to process big data. nagarjuna@outlook.com. What is BIG Data ?. Facebook, Google+ etc., Machines too generate lots of data

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Containers

Containers. CMPS 2143. Reusable containers. Simple data structures in almost all nontrivial programs Examples: vectors, linked lists, stacks, queues, binary trees, sets, dictionaries, etc. So common ? expect ideal for development as reusable components.

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11.Standard Template Library

11.Standard Template Library. Yan Shi CS/SE 2630 Lecture Notes. What is STL?. The Standard Template Library (STL) is a subset of ISO/ANSI C++ standard library. It provides 3 kinds of facilities: containers iterators generic algorithms Appendix E in the textbook Visual Studio Help Doc:

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Matt Wheeler

Internationalization and the Java Stack Part 2. Matt Wheeler. Notes. This is a training NOT a presentation Please ask questions Prerequisites Introduction to Java Stack Introduction to Spring Basic Java and XML skills Internationalization and the Java Stack Part 1

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Map Reduce for data-intensive computing

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EMBEDDED SECURITY

EMBEDDED SECURITY. EEN 417 Fall 2013. 9 /6/13, Dr. Eric Rozier , V1.0, ECE Thanks to Edward Lee and Sanjit Seshia of UC Berkeley. SECURITY. Compare with:

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Data Structures and Algorithms

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L22: SC Report, Map Reduce

L22: SC Report, Map Reduce. November 23, 2010. Map Reduce. What is MapReduce? Example computing environment How it works Fault Tolerance Debugging Performance Google version = Map Reduce; Hadoop = Open source. What is MapReduce?. Parallel programming model meant for large clusters

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MapReduce: simplified data processing on large clusters

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IT441 Network Services Administration

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Distributed RDF data store on HBase .

Distributed RDF data store on HBase . . Project By: Anuj Shetye Vinay Boddula. Project Overview . Introduction Motivation HBase Our work Evaluation Related work. Future work and conclusion. . Introduction. As RDF datasets goes on increasing, therefore size of RDF

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Big Data Overview of storage and processing

Big Data Overview of storage and processing. David Gibbs and Govardhan Tanniru Georgia State University Department of Computer Science P.O. Box 3965 Atlanta, GA 30302-3965. . Big Data. Big Data does not only relate to the size of data

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Map Reduce: Simplified Data Processing on Large Clusters

Map Reduce: Simplified Data Processing on Large Clusters. By Jeff Dean & Sanjay Ghemawat Google Inc. OSDI 2004 Presented by : Mohit Deopujari. Cluster Architecture Distributed File Systems Coping with Node Failure Large-Scale Indexing . Topics Covered in Class:.

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MapReduce : Simplified Data Processing on Large Clusters

MapReduce : Simplified Data Processing on Large Clusters. B97902029 ??? B97902083 ??? B97902085 ???. Outline. Why we choose this topic Introduction Programming Model Example Implementation Conclusion. Why we choose this topic. ?????????? (2010 )

265 views • 13 slides