69: What is the Modern Data Stack?

from The Data Stack Show · host Rudderstack

Highlights from this week’s conversation include:Panel introductions and backgrounds (2:55)What the modern data stack means to each of our panelists (5:04)Defining the fundamental components of a modern data stack (17:22)How the modern stack drives insights and actions for businesses (28:03)Getting to a uniform definition to the modern stack (33:45)Managing the modernization of a large scale data stack (39:09)How testing works in the dbt context (48:44)The relationship between the data warehouse and the data lake (52:25)What has us most excited or the future of modern data stacks (56:02)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.

Episode metadata supplied by the publisher feed · Published Jan 5, 2022

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What this episode covers

This week on The Data Stack Show, Eric and Kostas hosted a panel of experts from across the business and data landscape including Timothy Chen of Essence VC, Brandon Chen of Fivetran, Paul Boccaccio of Hinge, Jason Pohl of Data Bricks, and Amy Deora of dbt Labs. Together the group discusses what defines the modern datastack and how it impacts each of their businesses.