Gesamtlänge aller Episoden: 15 days 19 hours 55 minutes
An interview with Joe Reis and Matt Housley about their experience and insights gained while writing the book "Fundamentals of Data Engineering" and the inherent challenges of offering a single reference that covers the variety of skills necessary to work as a data engineer.
An interview with Mark Etherington, CTO of Crux, about the cost and complexity involved in external data integration and how their platform is engineered to make it manageable for organizations of all sizes
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 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 confident that everything is working as intended.
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 and the modern data stack
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 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 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.