**"An Agile Approach to Master Data Management with Mark Marinelli"** is the 46th episode of the **[[Data Engineering Podcast]]**, a technology podcast hosted by [[Tobias Macey]] that covers tools, techniques, and challenges in the field of [[data engineering]]. The episode was released on 3 September 2018 and features an interview with Mark Marinelli, head of product at [[Tamr]], a [[data management]] company specializing in [[Machine learning]]-driven data unification. The episode explores [[Master data management|master data management]] (MDM), the practice of creating a canonical, authoritative view of key business entities across multiple [[data source|data sources]]. Marinelli discusses the limitations of traditional [[Waterfall model|waterfall]]-style approaches to MDM, which often involve lengthy implementation cycles that struggle to keep pace with the proliferation of data sources in modern organizations. He advocates for adopting [[Agile software development|agile]] methodologies and [[DataOps]] principles to build and maintain master data sets more iteratively. Topics covered include the role of master data in [[business intelligence]] reporting, the use of [[Machine learning]] to automate entity resolution and data matching, challenges in handling diverse data formats, and practical considerations for storage, security, and latency when integrating master data across [[Enterprise software|enterprise systems]].