Syllabus Data Science and Big Data Analytics - (314452) Credit Scheme : Examination Scheme : 03 Credit End_Semester : 70 Marks Unit III BIG DATA PROCESSING Big Data Analytics - Ecosystem and Technologies, Introduction to Google file system, Hadoop Architecture, Hadoop Storage : HDFS, Common Hadoop Shell commands, Anatomy of File Write and Read, NameNode, Secondary NameNode, and DataNode, Hadoop MapReduce paradigm, Map Reduce tasks, Job, Task trackers - Cluster Setup - SSH & Hadoop Configuration, Introduction to NOSQL, Textual ETL processing. (Chapter - 3) Unit IV BIG DATA ANALYTICS Big Data Analytics - Architecture and Life Cycle, Types of analysis, Analytical approaches, Data Analytics with Mathematical manipulations, Data Ingestion from different sources (CSV, JSON, html, Excel, mongoDB, mysql, sqlite), Data cleaning, Handling missing values, data imputation, Data transformation, Data Standardization, handling categorical data with 2 and more categories, statistical and graphical analysis methods, Hive Data Analytics. (Chapter - 4) Unit V BIG DATA VISUALIZATION Introduction to Data visualization, Challenges to Big data visualization, Conventional data visualization tools, Techniques for visual data representations, Types of data visualization, Visualizing Big Data, Tools used in data visualization, Propriety Data Visualization tools, Open - source data visualization tools, Case Study : Analysis of a business problem of Zomato using visualization, Analytical techniques used in Big data visualization, Data Visualization using Tableau Introduction to: Candela, D3.js, Google Chart API. (Chapter - 5) Unit VI BIG DATA TECHNOLOGIES APPLICATION AND IMPACT Social media analytics, Text mining, Mobile analytics, Data analytics life cycle of case studies, Organizational impact, understanding decision theory, creating big data strategy, big data value creation drivers, Michael Porter’s valuation creation models, Big data user experience ramifications, Identifying big data use cases, Big Data Analytics Challenges and Research directions. (Chapter - 6)
