Algorithmic Graph Clustering of Schemas using Table Metadata
Alation Computer Science, 2020–21
Liaison(s): Andrea Levy ’11, Ian Danforth
Advisor(s): Leif Zinn-Brooks
Students(s): Violet Burbank, Emi Copic, Jordan Seay, Beau Taylor-Ladd, Sunil Kumar
As an enterprise-level data catalogue, Alation facilitates data search, management, and discovery for clients across many fields. This project aims to help clients to better visualize and explore data, by presenting the relationships between data as a clustered graph. Clusters are created from existing relationships, such as common queries or schemas, then clustered using unsupervised methods to provide insights into how data is organized and structured within the platform.