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Data Engineering Podcast

This show goes behind the scenes for the tools, techniques, and difficulties associated with the dis

Episodes

Total: 448

SummaryIn this episode of the Data Engineering Podcast, Anna Geller talks about the integration of c

In this episode, I had the pleasure of speaking with Ken Pickering, VP of Engineering at Going, abou

SummaryThe challenges of integrating all of the tools in the modern data stack has led to a new gene

SummaryIn this episode of the Data Engineering Podcast, the creators of Feldera talk about their inc

SummaryGleb Mezhanskiy, CEO and co-founder of DataFold, joins Tobias Macey to discuss the challenges

SummaryThe rapid growth of generative AI applications has prompted a surge of investment in vector d

SummaryIn this episode of the Data Engineering Podcast, Adrian Broderieux and Marcin Rudolph, co-fou

SummaryIn this episode of the Data Engineering Podcast Lukas Schulte, co-founder and CEO of SDF, exp

SummaryAirbyte is one of the most prominent platforms for data movement. Over the past 4 years they

SummaryAs data architectures become more elaborate and the number of applications of data increases,

SummaryIn this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg,

SummaryData contracts are both an enforcement mechanism for data quality, and a promise to downstrea

SummaryGenerative AI has rapidly gained adoption for numerous use cases. To support those applicatio

SummaryIn this episode Praveen Gujar, Director of Product at LinkedIn, talks about the intricacies o

SummaryPostgres is one of the most widely respected and liked database engines ever. To make it even

SummaryThis episode features an insightful conversation with Petr Janda, the CEO and founder of Synq

Summary Data lakehouse architectures have been gaining significant adoption. To accelerate adoption

Summary Stripe is a company that relies on data to power their products and business. To support th

Summary Streaming data processing enables new categories of data products and analytics. Unfortunat

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the cha