JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

The purpose of this course is to provide the students with the knowledge of Big data Analytics principles and techniques. This course is also designed to give an exposure of the frontiers of Big data Analytics

Course Outcomes:

Ability to explain the foundations, definitions, and challenges of Big Data and various Analytical tools. Ability to program using HADOOP and Map reduce, NOSQL Ability to understand importance of Big Data in Social Media and Mining

List of Programs: Perform setting up and Installing Hadoop in its two operating modes: Pseudo distributed, Fully distributed. Use web-based tools to monitor your Hadoop setup. Implement the following file management tasks in Hadoop: Adding files and directories Retrieving files Deleting files Benchmark and stress test an Apache Hadoop cluster Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm. Find the number of occurrence of each word appearing in the input file(s) Performing a MapReduce Job for word search count (look for specific keywords in a file) Stop word elimination problem: Input: A large textual file containing one sentence per line A small file containing a set of stop words (One stop word per line) Output: A textual file containing the same sentences of the large input file without the words appearing in the small file.Buyer event analytics using Cassandra on suitable product sales data. Write a Map Reduce program that mines weather data. Weather sensors collecting data every hour at many locations across the globe gather large volume of log data, which is a good candidate for analysis with MapReduce, since it is semi structured and record-oriented. Data available at: https://github.com/tomwhite/hadoopbook/tree/master/input/ncdc/all. (Dataset Only) Find average, max and min temperature for each year in NCDC data set? Filter the readings of a set based on value of the measurement, Output the line of input files associated with a temperature value greater than 30.0 and store it in a separate file. Using Power Pivot (Excel) Perform the following on any dataset Big Data Analysis Big Data Charting Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your data. Install and Run Hive then use Hive to create, alter, and drop databases, tables, views, functions, and indexes.

Text Books:

Big Data Analytics, Seema Acharya, Subhasini Chellappan, Wiley 2015. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Business, Michael Minelli, Michehe Chambers, 1st Edition, Ambiga Dhiraj, Wiely CIO Series, 2013. Hadoop: The Definitive Guide, Tom White, 3rd Edition, O‟Reilly Media, 2012. Big Data Analytics: Disruptive Technologies for Changing the Game, Arvind Sathi, 1st Edition, IBM Corporation, 2012.

M.Tech. (Data Science) II Year I Semester