Logical First, Physical Second: A Pragmatic P...

Summary In this episode Jacob Leverich, cofounder and CTO of Observe, talks about applying lakehouse architectures to observability workloads. Jacob discusses Observe’s decision to leverage cloud-native warehousing and open table formats for scale and cost efficiency. He digs int ...  Show more

Summary In this episode Kostas Pardalis talks about Fenic - an open-source, PySpark-inspired dataframe engine designed to bring LLM-powered semantics into reliable data engineering workflows. Kostas shares why today’s data infrastructure assumptions (BI-first, expert-operated, CP ...  Show more

Brian Gilmore (@BrianMGilmore, Director IoT/Emerging Technology @InfluxDB) talks about Edge and Industrial Edge Computing, as well as application and data challenges at the edge.

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CLOUD NEWS OF THE WEEK - <a href='http://bit.ly/cloudcast-cnot ...

As part of the IT Press Tour in Silicon Valley, I had the opportunity to sit down with David Flynn, CEO of Hammerspace, to explore how the company is redefining the future of enterprise data storage.

At a time when AI-driven workloads and hybrid cloud computing are push ...

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if y ...  Show more

The role of data and AI engineers is more critical than ever. With organizations collecting massive amounts of data, the challenge lies in building efficient data infrastructures that can support AI systems and deliver actionable insights. But what does it take to become a succes ...  Show more