17CI68 - BIG DATA WITH Hadoop LAB PDF

Title 17CI68 - BIG DATA WITH Hadoop LAB
Author Vijay Suresh
Course Data Science
Institution Jawaharlal Nehru Technological University Kakinada
Pages 1
File Size 85.1 KB
File Type PDF
Total Downloads 98
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Summary

BIG DATA ANALYSIS NOTES...


Description

LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING (AUTONOMOUS), MYLAVARAM

B.Tech. (VII Sem.)

17CI68 - BIG DATA WITH HADOOP LAB

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Prerequisite: Should have knowledge of one Programming Language (Java preferably), Practice of SQL (queries and sub queries), exposure to Linux Environment Course Educational Objectives (CEO):This course provides practical, foundation level training that enables immediate and effective participation in Big Data and other Analytics projects using Hadoop and R Course Outcomes (COs):After the completion of this course, the student will be able to: CO1: Preparing for data summarization, query, and analysis. CO2: Applying data modelling techniques to large data sets CO3: Creating applications for Big Data analytics Week-1: Downloading and installing Hadoop; Understanding different Hadoop modes. Startup scripts, Configuration files. Week-2: Hadoop Implementation of file management tasks, such as Adding files and directories, Retrieving files and Deleting files Week-3: Implementation of Matrix Multiplication with Hadoop Map Reduce Week-4 Implementation of Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm. Week-5: Implementation of K-means clustering using map reduce Week-6: Installation of Hive along with practice examples. Week-7: Installation of HBase, Installing thrift along with Practice examples Week-8: Installation of R, along with Practice examples in R. TEXTBOOKS: 2. Tom White ―Hadoop: The Definitive Guide‖ Third Edit on, O‘reily Media, 2012. 3. Seema Acharya, SubhasiniChellappan, "Big Data Analytics" Wiley 2015 REFERENCES: 2. Michael Berthold, David J. Hand, "Intelligent Data Analysis‖, Springer, 2007. 3. Jay Liebowitz, ―Big Data and Business Analytics‖ Auerbach Publications, CRC press (2013). 4. AnandRajaraman and Jefrey David Ulman, ―Mining of Massive Datasets‖, Cambridge University Press,2012. 5. ArvindSathi, ―BigDataAnalytics: Disruptive Technologies for Changing the Game‖, MC Press, 2012, 2001. 6. http://nptel.ac.in/courses/106104135/48 7. http://nptel.ac.in/courses/110106064/

B.Tech. (Computer Science and Engineering) R17 Regulations (w.e.f. 2017-18)

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