Big data - Introduction to Big Data Platform - Big Data Skills and Sources - Big Data Adoption - Characteristics of Big Data - Key aspects of a Big Data Platform - Challenges of Conventional Systems - Nature of Data - Evolution Of Analytic Scalability Governance for Big Data - definition and taxonomy - Big data value for the enterprise
Technical Details of Big Data Components - Text Analytics and Streams - - Intelligent data analysis, Analytic Processes and Tools - Modern Data Analytic Tools - Cloud and Big Data - Overview of High Value BDUse Cases – Examples - The Big Data and Data Science - Big Data Exploration - Security and Intelligence - Operations Analysis.
First steps with the Hadoop “ecosystem” – Introduction to Hadoop - Exercises - Hadoop components – Map Reduce/Pig/Hive/HBase - Loading data into Hadoop - Handling files in Hadoop - Getting data from Hadoop - Introduction to the SQL Language - Querying big data with Hive - Big Data & Machine Learning.
IoT - An Architectural Overview - Main design principles and needed capabilities Devices and gateways - Data management - Business processes in IoT- Everything as a Service (XaaS) - IoT Security Requirements - IoT Privacy Preservation Issues - Cyber-Physical Object Security -Hardware Security - Front-end System Privacy Protection - Networking Function Security.
Attack Models - Attacks to RFIDs in IoTs - Attacks to Network Functions - Attacks to Back-end Systems - Security in Front and back end Sensors and Equipment -Prevent Unauthorized Access to Sensor Data – Case Study - Setting up the demo Environment, IoT and the Industrial Sector, IoT and the Connected Home, IoT and Consumer Wearable.
Reference Book:
1. Big Data: A Beginner’s Guide to using Data Science for Business by Eliot P. Reznor, 2017, BPB Publication, ISBN: 0131103628 2. Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations by Fei HU, 3rd Edition, 2016, CRC Press, ISBN: 0070681821 3. “Security of Things: An Implementers' Guide to Cyber-Security for Internet of Things Devices and Beyond by Ollie Whitehouse, 4th Edition, 2014, NCC Group, ISBN: 0070681821
Text Book:
1. Big Data Mining and Analytics by Stephan Kudyba, 5th Edition, Auerbach Publications, 2014, ISBN-10: 8183331637; ISBN-13: 978-8183331630.