Data Stewardship Tool Development within Databricks

This whitepaper discusses the development of a data stewardship tool within the Databricks environment, co-authored by professionals in data strategy and analytics. It outlines the persistent challenges organizations face with existing master data management (MDM) tools, particularly regarding their complexity and operational inefficiencies. The proposed solution is an intuitive, user-friendly data stewardship tool that leverages Databricks widgets and Python HTML tags. This tool aims to streamline the stewardship process by reducing the complexity of traditional solutions and providing a lightweight interface designed for specific customer bridging use cases. The document details the functionality of the tool, including real-time updates, customizable user interfaces, and its integration with AI and machine learning frameworks. It further highlights the architecture, features, and the potential benefits of implementing this tool within a business unit, thus enhancing data management efficiency and quality. The paper concludes with a summary of the key components and functionalities of the stewardship tool.