2017 · Paper V · 10 marksFrequently asked

What do you understand by "Big Data" ? Discuss India's initiatives in this regard; name the challenges and constraints.

In short

Big Data means vast, continuously generated structured and unstructured data that needs advanced tools to store and analyse. India's initiatives include data.gov.in, the Digital Personal Data Protection Act 2023 and a proposed India Data Office, but fragmented data, privacy risks, the digital divide and talent shortages constrain it.

Model answer

Ghissu Editorial · Verified 4 Oct 2026

Introduction
Big Data, vast structured and unstructured data generated continuously, drives India’s digital transformation through initiatives like Aadhaar1 and Digital India, demanding robust governance and innovation for socio-economic growth.
Institutional Framework
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Comprehensive Data Ecosystem

data.gov.in hosts 0.16 million datasets across 33 sectors, promoting transparency, research, and innovation.

•

Policy and Regulation

The Digital Personal Data Protection Act (2023) and Draft National Data Governance Framework balance privacy with data use for AI and innovation.

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State-Level Platforms

Andhra Pradesh’s wide use of national platforms such as eSanjeevani telemedicine and Kisan e-Mitra exemplifies effective Big Data use in public service delivery.

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Coordination Efforts

The India Data Office aims to unify data sharing across government levels, reducing fragmentation and enabling interoperability.

Challenges
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Data Fragmentation

Disparate data collection and quality issues hinder integration and timely decisions, limiting Big Data’s full potential.

•

Digital Divide

Rayalaseema’s limited broadband access and digital literacy restrict equitable Big Data benefits, especially in rural and drought-prone areas.

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Skill Gaps

Shortage of annotated datasets and AI talent limits indigenous innovation; startups struggle with long-term data collection and model training.

Way Forward
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Strengthen Governance

Finalize data protection and non-personal data policies to ensure privacy and promote innovation.

•

Enhance Interoperability

Develop unified standards and infrastructure for seamless data sharing, including Andhra Pradesh’s platforms, to improve data integration.

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Bridge Digital Divide

Expand affordable broadband and digital literacy initiatives in underserved areas like Rayalaseema to ensure inclusive access to Big Data benefits.

Conclusion
India’s Big Data ecosystem, powered by Aadhaar, UPI, and the National AI Mission2, holds transformative potential for governance and development if challenges of privacy, data quality, and inclusivity are effectively addressed.

This model answer is indicative and the model can make mistakes; please verify key facts independently.

Hand-drawn diagram: Big Data in India. Big Data in India. Diagram (forcefield): Big Data in India; Data-driven governance; data.gov.in open data; DPDP Act 2023; National AI Mission; Fragmented data; Cyberattacks; Rural digital divide; Talent gaps
Diagram: Big Data in India

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