Big Data and Its CharacteristicsImportance 4/5
What makes data "big"? Remember the three kinds of data (structured, semi-structured, unstructured) and the Vs of big data (volume, velocity, variety, veracity, value). What challenges arise in collecting, storing and analysing it, and how is it used in governance?
Data Engineering and Data ScienceImportance 2/5
Be clear about the work of a data engineer and of a data scientist. Understand ETL and why the two roles depend on each other.
Cloud Computing and How It WorksImportance 4/5
Be clear about what cloud computing is and how it differs from using a local server. Understand its features: resource pooling, on-demand pay-as-you-go use, virtualisation, automated management and access from any device.
Cloud Service Models (IaaS, PaaS and SaaS)Importance 5/5UPSC 2022
How do IaaS, PaaS and SaaS differ in what the provider supplies and what the client manages? Remember well-known examples of each. Which model suits a firm that wants to rent servers, and which a user who only wants to use an email service?
Cloud Deployment Models (Public, Private, Hybrid and Community)Importance 3/5
How do public, private, hybrid and community clouds differ in who owns and uses them? When would an organisation choose each? How are deployment models different from service models?
MeghRaj (GI Cloud)Importance 3/5
What is MeghRaj, and why did the Government of India build it? Understand how separate cloud environments follow common protocols and standards. Remember the ministry that launched it and the year.
Edge Computing: Architecture, Features and ApplicationsImportance 4/5
What is edge computing, and how does it cut delay? Understand the device, edge and cloud layers and the work of each. Remember its features and its uses in IoT, autonomous vehicles, virtual reality and augmented reality.
Cloud and Edge Computing ComparedImportance 4/5
How do cloud and edge computing compare in data processing, need for internet, cost, storage and use cases? Why do the two work together rather than replace each other?
Data Centres and Their Power, Water and Cooling NeedsImportance 3/5
What does a data centre contain, and what does "hyperscale" mean? Why do power, water and cooling decide where data centres are built? Why do AI workloads add to energy and water stress?
India's Data Centre Push (Gujarat Policy, Budget Incentives, AI Hubs)Importance 3/5
Why is India expanding data-centre capacity, given its share of the world's data compared with its share of capacity? What does Gujarat's Data Centre Policy 2026–29 require on green power and desalination, and what is Dholera's role? What tax benefit for foreign cloud firms came with Union Budget 2026–27? What is Google's AI hub at Visakhapatnam?
Orbital and Underwater Data CentresImportance 3/5
Why are data centres in orbit proposed? Understand the engineering problems: cooling by radiation only, launch cost, no repair, radiation and delay. Why did Microsoft's underwater Project Natick not continue? Has any company yet placed a data-centre satellite in orbit?
Supercomputers and FLOPSImportance 3/5UPSC 1997
How does a supercomputer gain its speed? What does FLOPS measure, and what do petascale and exascale mean?
World's Leading Supercomputers and the TOP500 ListImportance 3/5
What is the TOP500 list, and how often is it published? Which system and which country lead the latest list, and how many exascale systems exist?
India's Supercomputing History (C-DAC and the PARAM Series)Importance 3/5UPSC 2004
What led India to build its own supercomputers, and which institution took the lead? Remember the early PARAM systems (8000 and 10000), BARC's Anupam series and ANURAG's PACE series.
National Supercomputing Mission and India's Major SystemsImportance 4/5
What is the aim of the National Supercomputing Mission, when did it begin, and which agencies run it? Remember India's major systems and their purposes: AIRAWAT, PARAM Siddhi-AI, PARAM Rudra, Arka and Arunika. How many systems has the Mission installed so far?