Home › Projects › Spring 2024 › SecureHaven: Fortifying Data Lakehouse Cybersecurity for South Florida Environmental Data Analysis and Machine Learning
SecureHaven: Fortifying Data Lakehouse Cybersecurity for South Florida Environmental Data Analysis and Machine Learning
SecureHaven revolutionizes petabyte-scale data governance, seamlessly integrating on-premise infrastructure with cloud technology. Leveraging Docker Scout and Snyk, it identifies and addresses 867 vulnerabilities in containers, offering robust security strategies. By combining Minio and Trino within a Data Lakehouse architecture, SecureHaven facilitates efficient data management and analysis, eliminating data movement and ensuring compliance. Its workflow, utilizing Docker-compose files, establishes a resilient storage layer and enables seamless schema creation and data processing within Trino, ensuring adaptability across environments.
Introduction video
Demo video
Team (3)
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Instructor
- Professor Dr Masoud Sadjadi