121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry

Highlights from this week’s conversation include:Defining data flow (2:31)Are there limitations in timely data flow operation and/or building operators? (8:20)Areas of incremental computation that are having an impact today (17:10)Building a library vs building a product (24:06)Combining delight and empathy into a focus (27:52)Final thoughts and takeaways (32:42)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.