LEAP Data Lake Source Prioritization Framework
LEAP Data Lake Source Prioritization Framework establishes a clear, transparent process for prioritizing which data sources are added to LEAP and in what order, this proposal defines a structured, criteria-based framework grounded in demonstrated institutional need.
LEAP Training Resources
LEAP Office Hours
Office hours are an open, informal session where you can drop in to ask questions, explore ideas, and get hands-on guidance with AWS Quick and AI data tools. Whether you're just getting started or looking to solve a specific challenge, it's a space for real-time support and collaboration. Come as you are and leave with clearer insights.
Mondays and Thursdays 12-1pm online Zoom.
AWS Quick Community of Practice
AWS Quick Community of Practice meets discuss using AWS Quick business intelligence tool to create visualizations, dashboards, and telling stories using data. We focus on utilizing data from the Lehigh Enterprise Analytics Platform (LEAP), as well as bringing your own data to make data driven decisions. We also cover topics such as best practices for building dashboards, sharing what works and what doesn't, and celebrating creative visuals from the team members.
AWS Quick Curated Training
AWS Quick curated training provides structured learning paths to help you build practical skills in business intelligence and AI. The content is tailored to guide you from foundational concepts to real-world application using AWS tools. It’s designed to help you quickly gain confidence and apply what you learn to your own data, LEAP data sets, and use cases.