Big Data Analytics

Course Aim:
This course enables students to explore the realm of big data analytics, develop essential skills for real-world applications and delve into the analysis of big data frameworks like Hadoop and NoSQL focusing on efficient storage and processing to generate valuable analytics. In this course, students will learn the design of algorithms tailored for solving data-intensive problems using the MapReduce paradigm and gain hands-on experience in designing and implementing big data analytics using tools such as Pig and Spark for addressing data-intensive challenges. 
Course contents:
Introduction to Big Data, Understanding Big Data Analytics in the Real World, MapReduce Paradigm, Introduction to Hadoop, Introduction to Spark, Introduction to Apache Mahout, Big Data Analytics, Creation of Scalable Machine Learning Algorithms, Capstone Project.