Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big data insights to make data-driven decisions. Not only does this impact the productivity of data users (including analysts, machine learning developers, data scientists, and data engineers), but it also has a direct impact on end products that rely on a quality machine learning (ML) pipeline. Additionally, the trend towards adopting or building ML platforms naturally begs the question: what is your method for internal discovery of ML features, models, metrics, datasets, etc.?