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Ep 31: Data activation everywhere (w/ Julie Beynon of Clearbit)
As Head of Analytics at Clearbit, Julie serves as a data team of one in a 200+ person company (wow!). In this conversation with Tristan and Julia, Julieβ¦
David Krevitt
Jul 18, 2022
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Ep 31: Data activation everywhere (w/ Julie Beynon of Clearbit)
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Ep 1: Robert Chang on Scaling Metrics @ Airbnb
Robert's team at Airbnb built Minerva to track over 12,000(!) metrics and 4,000(!) dimensions with consistency. How'd they do it?
David Krevitt
Jul 1, 2021
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Ep 1: Robert Chang on Scaling Metrics @ Airbnb
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Ep 30: The Personal Data Warehouse (w/ Jordan Tigani of MotherDuck)
Flipping the vision for "data apps" on its head: what if, instead of having data run round trips to a cloud data warehouse, we just bring the user'sβ¦
David Krevitt
Jul 1, 2022
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Ep 30: The Personal Data Warehouse (w/ Jordan Tigani of MotherDuck)
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Ep 2: Venkat Venkataramani of Rockset on the Future of Real-time Analytics
Step with Venkat into a world where data is always fresh, queries run in 1ms, and analytics engineers build web-scale, real-time data apps.
David Krevitt
Jul 15, 2021
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Ep 2: Venkat Venkataramani of Rockset on the Future of Real-time Analytics
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Ep 24: The Hard Problemsβ’οΈ of Data Observability w/ Kevin Hu (Metaplane)
Data observability is really a mashup of many complex problems - how much of it can truly be automated? How much is just enough?
David Krevitt
Apr 8, 2022
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Ep 24: The Hard Problemsβ’οΈ of Data Observability w/ Kevin Hu (Metaplane)
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Ep 23: The Bundling vs Unbundling Debate
Can Tristan, Benn and David make any sense of this very open question?
David Krevitt
Mar 25, 2022
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Ep 23: The Bundling vs Unbundling Debate
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Ep38: A romp through database history (w/ Postgres co-creator Mike Stonebraker + Andy Palmer)
How did datetime as a type come to be? And other factoids to use at your next data meetup.
David Krevitt
Jan 27
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Ep38: A romp through database history (w/ Postgres co-creator Mike Stonebraker + Andy Palmer)
roundup.getdbt.com
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Ep 40: What can generative AI do for data people? (w/ Sarah Nagy & Chris Aberger)
Precise truth is critical for business questions in a way that it's not for a consumer search query. How will new types of applications solve for that?
David Krevitt
Feb 24
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Ep 40: What can generative AI do for data people? (w/ Sarah Nagy & Chris Aberger)
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Ep 5: Erik Bernhardsson on the Missing Tool in the Data Team's Toolbox
Erik wrote that weβre in for a βreorganization of the factory,β a shift in the way we build data products. What should be reorganized, and where will itβ¦
David Krevitt
Aug 26, 2021
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Ep 5: Erik Bernhardsson on the Missing Tool in the Data Team's Toolbox
roundup.getdbt.com
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Ep 32: Katie Bauer: Data Scientists are not Pizza
Listen & subscribe from: Spotify Apple Podcasts Google Podcasts Stitcher TuneIn RSS feed Key points from Katie in this episode: Why do you think dataβ¦
David Krevitt
Jul 29, 2022
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Ep 32: Katie Bauer: Data Scientists are not Pizza
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Ep 34: Why youβll need data contracts (w/ Chad Sanderson + Prukalpa Sankar)
WARNING: This episode contains in-depth discussion of data contracts. Are they a solve for the collaboration challenges between producers + consumersβ¦
David Krevitt
Nov 18, 2022
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Ep 34: Why youβll need data contracts (w/ Chad Sanderson + Prukalpa Sankar)
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Ep7: Brittany Bennett on Training the Next Generation of βData for Goodβ Practitioners @ Sunrise Movement
After listening to this episode, youβll be rushing to implement a 'failure of the week' practice on your team.
David Krevitt
Sep 23, 2021
3
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Ep7: Brittany Bennett on Training the Next Generation of βData for Goodβ Practitioners @ Sunrise Movement
roundup.getdbt.com
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