Build complete data pipelines from ingestion to analysis using AWS's enterprise-grade data engineering services. Learn to create scalable data lakes on S3, perform real-time and batch transformations with AWS Glue, implement fine-grained access controls with Lake Formation, and query massive datasets using Amazon Athena and Redshift - essential skills for managing large-scale research data from NIH, NSF, and other funding agencies.
This event is not being recorded. Any materials provided by the presenter will be sent to all registrants by the end of the second business day after the conclusion of the event. Please email ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.
***Recommended Skill Level: L200 (some data engineering experience recommended)***
Presented by Gabriel Brackman
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