The University of Texas at Austin 3 credits Computer Science
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. Pre/Corequisites: Computer Science 327E with a grade of at least C-.
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