EdTech

A smart catalog for fast, trusted data output

Business catalog with AI-enhanced search and discovery streamlines data access, compliance and insights.

Client
An educational testing and assessment organization
Goal
To build and leverage a business catalog as a cost-effective solution for smart, user-specific output across varied datasets
Tools and Technologies
AWS Data Lake and Glue, Amazon S3 and Redshift
Business Challenge

The client needed a business catalog to enable faster discovery and better understanding of datasets in a cost-effective manner, while also generating user-specific outputs for authorized individuals. The initiative began as a pilot using a select set of data sources.

Solution
  • Leveraged existing AWS Data Lake and Glue catalog for extended use
  • Integrated native S3 and Redshift with the catalog
  • Implemented pre-defined Glue data quality rules reporting for assets to generate a trust index before subscription
  • Enhanced search and discovery with AI-generated asset metadata and summaries
  • Enabled seamless authentication and authorization through SSO integration
  • Automated workflow-based data access management, with human intervention only at approval stage
  • Designed REST API-driven onboarding process
Outcomes
  • Enabled discovery of new datasets through search and subscription
  • Simplified access to reliable datasets, enhancing data science and BI for generating insights
  • Established a compliance framework aligned with organizational standards
  • Accelerated and improved decision-making through access to trusted data
Contact

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