BIG DATA ANALYTICS
Unit - I Introduction to Big Data Analytics and Data Architecture 1.1 Classification of Data : Structured, Semi-structured and Unstructured 1.2 Introduction :Big Data Definitions, Need of Big Data 1.3 Big Data Characteristics : Volume, Velocity, Variety, Veracity 1.4 Big Data Types 1.5 Big Data Processing Architecture Design 1.6 Big Data Analytics : Data analytics Definitions, Phases in Analytics 1.7 Big Data Analytics Applications : Big Data in Marketing and Sales, Big Data and Healthcare, Big Data in Medicine, Big Data in Advertising Unit - II Introduction to Hadoop and MapReduce 2.1 Introduction to Hadoop 2.2 Hadoop and its Ecosystem : Hadoop Core Components, Features of Hadoop, Hadoop Ecosystem Components 2.3 Hadoop Distributed File System : HDFS data storage, HDFS Commands for interacting with files in HDFS 2.4 MapReduce Framework and Programming Model : Hadoop MapReduce Framework, MapReduce Programming Model 2.5 Hadoop Yarn : Hadoop 2 Execution Model 2.6 MapReduce : Map Tas...