Data Engineering Podcast

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

Episodes

Total: 457

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

Summary Any software system that survives long enough will require some form of migration or evolut

Summary The purpose of business intelligence systems is to allow anyone in the business to access a

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the ne

SummaryArtificial intelligence has dominated the headlines for several months due to the successes o

SummaryGenerative AI promises to accelerate the productivity of human collaborators. Currently the p

Summary Generative AI has rapidly transformed everything in the technology sector. When Andrew Lee

Summary Databases come in a variety of formats for different use cases. The default association wit

Summary Maintaining a single source of truth for your data is the biggest challenge in data enginee

Summary Working with data is a complicated process, with numerous chances for something to go wrong

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on s

Summary A significant portion of data workflows involve storing and processing information in datab