with Kostas Pardalis & Eric Dodds
May 11, 2022
In this special episode of The Data Stack Show, Eric and Kostas are joined by the founders of Bigeye, Metaplane, Lightup Data, and Great Expectations. Together they discuss definitions of data terms, creating standards, best practices, and more.
May 4, 2022
This week on The Data Stack Show, Eric and Kostas chat with Barr Moses, co-founder and CEO of Monte Carlo. During the episode, Barr discusses trust issues, defines terms like “detection” and “resolution,” sheds light on SLAs, and shares her experience with data teams.
April 29, 2022
Welcome to a special series of The Data Stack Show from Data Council Austin. This episode, Eric and Kostas chat with Gabriel Hidalgo, a support engineer at Carto. During the episode, Gabriel explains the difference between location, time, and spatial data, what spatial functions are, and how Carto is used by its customers.
April 28, 2022
Welcome to a special series of The Data Stack Show from Data Council Austin. This episode, Eric chats with Pete Soderling, founder of Data Council. During the episode, Pete shares about how Data Council came to be, the investor side of the data space, and the place to work as a data engineer.
April 27, 2022
Welcome to a special series of The Data Stack Show from Data Council Austin. This episode, Eric and Kostas chat with James Greenhill, the Platform Team Manager and Lead at PostHog. During the episode, James shares about how PostHog fits in the data space, why we even have product analytics to begin with, starting from the metrics versus events, and more.
April 26, 2022
Welcome to a special series of The Data Stack Show from Data Council Austin. This episode, Eric and Kostas chat with Ben Castleton, co-founder and Head of Partnerships at Superconductive, the team behind Great Expectations. During the episode, Ben discusses how Great Expectations came to be, how he became a believer in open source products, the difference between working in data versus healthcare, and more.
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.
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