Easier Stream Processing On Kafka With ksqlDB

Summary In this episode, I spoke with Keerti Kulkarni about the data and AI systems behind physical logistics automation at Amazon. She explained how her team supports dock-door operations across more than 100 North American facilities by turning telemetry from physical workflows ...  Show more

SummaryIn this episode, I spoke with Christian Bremeau and Simon Dynin about their decades-long work in metadata management and how that experience shaped the evolution of Meta Integration Technology and its direct-to-customer MetaKarta platform. We explored the recurring challen ...  Show more

Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage ...  Show more

Preamble This is a cross-over episode from our new show The Machine Learning Podcast, the show about going from idea to production with machine learning. Summary The majority of machine learning projects that you read about or work on are built around batch processes. The model i ...  Show more

We’ve all been there, a project starts off simple, but quickly becomes more complex. In this episode, we are joined by Sarah Drasner to talk with us about how to deal with complex codebases and systems. Guests: Sarah Drasner - @sarah_edo Panelists: Ryan Burgess - @burgessdryan Je ...  Show more

Keith Gregory teaches us about data engineering in a way DevOps folks (and hydrologists) can understand. He explains that the role of a data engineer is to create pipelines to transport data from metaphorical rivers and make it usable for data analysts. Keith walks us through the ...  Show more