Overview
Enterprise Data Integration at UCLA enables a unified, secure, and scalable data ecosystem that powers institutional decision-making. Led by three specialized teams within Enterprise Data & Analytics (EDA), our integration services ensure trusted, high-quality data flows seamlessly across systems and platforms.
Data Integration Team
Focus: Engineering scalable data pipelines that enable trusted, reusable data assets across the enterprise.
What they do:
- Ingest and transform and curate enterprise data into governed, reusable datasets
- Advance and support UCLA's Lakehouse architecture
- Deliver standardized frameworks for batch and real-time pipelines
Application Integration Team
Focus: Enabling secure, real-time system connectivity through modern integration patterns and APIs
What they do:
- Operate and optimize enterprise integration platforms (e.g., API Gateway, Managed File Transfer)
- Establish reusable, secure patterns for scalable system-to-system integrations
- Support event-driven and transactional integration use cases
Data Quality Team
Focus: Strengthening institutional trust in data through proactive monitoring and governance
What they do:
- Define and operationalize enterprise data quality standards and rules
- Implement automated validation, monitoring, and alerting
- Enable data stewardship through transparency, dashboards, and issue resolution workflows
For further discussions or partnership opportunities for enterprise data integration, please reach out to eda-di@it.ucla.edu.
