This whitepaper examines how the rapid growth of EdTech has led to massive data generation, creating challenges in data management, privacy, and interoperability. It identifies issues such as fragmented systems, lack of standardization, sensitive student data protection, and regulatory compliance (FERPA, GDPR). The paper proposes graph databases as a solution to model complex relationships between learners, content, and systems, enabling better recommendations, analytics, and data integration. It also addresses infrastructure scalability, data quality, and digital equity challenges. The conclusion highlights that graph-based approaches can significantly enhance data utilization, improve learning outcomes, and ensure secure and efficient management of educational ecosystems.

Join for free to read