Joe Reis takes over the show and interviews Tobias Macey, host of the Data Engineering Podcast, about his own show and the other projects that keep him busy

An interview with Inbar Yogev and Lior Winner about their work on the data platform for Riskified and how they approach the technical and organizational strategies that are necessary for success

An interview with Chris Riccomini about the benefits and challenges of adopting automation for data engineering workflows and how to incorporate data contracts between teams and systems

An interview with Colleen Tartow about the forces that are shaping the current generation of data architectures and how the underlying technologies are evolving to support patterns including data mesh

An interview with Gleb Mezhanskiy and Simon Eskildsen about how the open source data-diff utility can quickly and reliably validate data between your source and destination systems so that you can be

An interview with Isaac Brodsky about the Unfolded platform for geospatial analytics and how you can use it to gain insight into seemingly disparate data sets that share spatial relationships

An interview with Malcolm Hawker about the technical and organizational strategies that are required for a successful implementation of Master Data Management, as well as when and why it is necessary.

An interview with Ryan Buick about the Canvas platform and how it combines the approachability of spreadsheets with the power of modern data systems to reduce the barrier to analysis for everyone.

A conversation with Atlan co-founder Prukalpa Sankar about the idea of active metadata and how it can reduce the toil involved in managing a data platform

A conversation about the challenges involved in hiring your first data professional and scaling up to a full data team while consistently delivering value and retaining talented engineers.