PGCA1948
Big Data Analytics Laboratory
Program:M.Sc IT
Semester:Semester 4
Credits:2 Credits
Units:1 Units
Subject Overview
The practical companion to Big Data Analytics, giving hands-on experience with Hadoop and big data analytical tools to implement the clustering, classification and association-rule techniques covered in theory on real datasets. A 2-credit elective lab paper.
Unit-wise Syllabus
1 units — click WhatsApp below to get the full notes for each
1
Unit 1: Big data tools and analytics practice
Hands-on implementation of clustering, classification and association-rule mining techniques using Hadoop/big data analytical tools on real-world datasets, applying the concepts of HDFS, MapReduce and the Hadoop ecosystem covered in the theory paper