Elements of Data Integration
Investigate data architectures and approaches for integrating siloed data with an emphasis on tooling and implementation of end-to-end solutions. Explore data sourcing, storage, ingestion, modeling, transformations, enrichment, aggregation, lineage, metadata, quality, and knowledge graphs. Computer Science 329E (Topic: Elements of Data Integration) and 333E may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
Investigate data architectures and approaches for integrating siloed data with an emphasis on tooling and implementation of end-to-end solutions. Explore data sourcing, storage, ingestion, modeling, transformations, enrichment, aggregation, lineage, metadata, quality, and knowledge graphs. Computer Science 329E (Topic: Elements of Data Integration) and 333E may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027