Big Data- Characteristics of Big Data volume, velocity, and Challenges and applications of Big Data Introduction to Enabling Technologies for Big Data, Characterize the phenomena of Big Data and Big Data Analytics, Analyze and apply different concepts, methods, and tools for analyzing big data in organizational contexts.
Cloud- Cloud computing- Basic concepts-Service model- infrastructure as a service- History- benefits- Risks- security & privacy, lock in- isolation failure – Characteristics- Essential and common characteristics-On demand self-service.
Cloud computing best practices- Strategy phase, planning phase- Business Architecture development, IT Architecture development, Requirements on quality-of-service development Transformation Plan development, deployment phase – cloud computing provider, maintenance and technical service.
Hypervisor- Management software, Deployment Software, Network, server, storage- Infrastructure, constraints- Transparency, scalability, security, Intelligent monitoring, Public cloud Model, benefits, cost effective, Reliability, flexibility, Disadvantages, Private cloud model- benefits – Hybrid cloud model-benefits, community cloud model- benefits.
Creating and starting the venture- Preparing for the new venture launch-early management decisions. Team-Finding your team, art of team formation, team work planning Managing early growth of the new venture, new venture expansion strategies and issues- Going public- ending the Venture
Reference Book:
R1 Gupta, B. B., & Agrawal, D. P. (Eds.). (2019). Handbook of research on cloud computing and big data applications in IoT. IGI Global. R2 Vinnie, S., & Sudhashu, B. (2014). Innovation management. Oxford University Press R3 Elayidom, M. S., Divakar, S. M., Mohan, L., Pandey, T. K., & Agrawal, S. (2024). Cloud computing & big data: From the basics to practical use cases. Cengage Learning India Pvt. Ltd. Cengage
Text Book:
T1 Pani, S. K., Tripathy, S., Jandieri, G., Kundu, S., & Butt, T. A. (2021). Applications of machine learning in big-data analytics and cloud computing. River Publishers. T2 Rani, S., Bhambri, P., Kataria, A., Khang, A., & Sivaraman, A. K. (2023