To address the challenges posed by the diverse sources, high heterogeneity, and complexity of educational big data—as well as the growing emphasis on data privacy and ethical standards—this research has developed a comprehensive set of technologies. These include crowdsourced integration of educational resource data, semantic fusion of educational scenarios and learning spaces, collaborative development and sharing of educational cloud resources, and robust mechanisms for data ethics and security protection. Together, these innovations enable seamless integration and secure sharing of multi-source data, ensuring both effective data use and strong privacy safeguards.