Big Data Analytics detailed syllabus for Computer Science & Engineering (CSE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Computer Science & Engineering 5th Sem scheme and its subjects, do visit CSE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CSE Professional Elective-I syllabus scheme. The detailed syllabus of big data analytics is as follows.
Course Objectives:
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Unit I
UNDERSTANDING BIG DATA 5 Introduction to big data – convergence of key trends – unstructured data – industry examples of big data – web analytics – big data applications- big data technologies – introduction to Hadoop – open source technologies – cloud and big data – mobile business intelligence – Crowd sourcing analytics – inter and trans firewall analytics.
Unit II
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Unit III
MAP REDUCE APPLICATIONS 6 MapReduce workflows – unit tests with MRUnit – test data and local tests – anatomy of MapReduce job run – classic Map-reduce – YARN – failures in classic Map-reduce and YARN – job scheduling – shuffle and sort – task execution – MapReduce types – input formats – output formats.
Unit IV
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Unit V
HADOOP RELATED TOOLS 6 Hbase – data model and implementations – Hbase clients – Hbase examples – praxis. Pig – Grunt – pig data model – Pig Latin – developing and testing Pig Latin scripts. Hive – data types and file formats – HiveQL data definition – HiveQL data manipulation – HiveQL queries.
Course Outcomes:
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List of Experiments:
- Downloading and installing Hadoop; Understanding different Hadoop modes. Startup scripts, Configuration files.
- Hadoop Implementation of file management tasks, such as Adding files and directories, retrieving files and Deleting files
- Implement of Matrix Multiplication with Hadoop Map Reduce
- Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.
- Installation of Hive along with practice examples.
- Installation of HBase, Installing thrift along with Practice examples
- Practice importing and exporting data from various databases.Software Requirements: Cassandra, Hadoop, Java, Pig, Hive and HBase.
Text Books:
- Michael Minelli, Michelle Chambers, and AmbigaDhiraj, “Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses”, Wiley, 2013.
- Eric Sammer, “Hadoop Operations”, O’Reilley, 2012.
- Sadalage, Pramod J. NoSQL distilled, 2013
Reference Books:
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For detailed syllabus of all the other subjects of Computer Science & Engineering 5th Sem, visit CSE 5th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Engineering results, visit Anna University CSE all semester results direct link.