Rasgo With Patrick Dougherty Contributor podcast

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Tech Eric Anderson

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Rasgo with Patrick Dougherty

2+ y ago 28:49

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MP3•Episode hjem

Indhold leveret af Eric Anderson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Eric Anderson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Eric Anderson (@ericmander) and Patrick Dougherty (@cpdough) talk about Rasgo, the data transformation platform for MLOps that makes generating SQL easy. The team at Rasgo recently open-sourced a package called RasgoQL, that allows users to execute SQL queries against a data warehouse using Python syntax. Tune in to find out how Rasgo aims to bridge an important gap in the Modern Data Stack.

In this episode we discuss:

The advantages of offering both a low-code/no-code UI and a Python interface
"How can a data scientist, without needing full-time resources from data engineering, be somewhat self-sufficient in data prep and able to deliver those insights without a massive human capital investment needed?"
Where Rasgo fits into the world of feature stores
Why one Rasgo user took a trip to a wind farm in Texas
Eric’s predictions for the future of data prep and transformation

Links:

People mentioned:

Jared Parker (@jaredtparker_)

… continue reading

83 episoder

#Tech #Eric Anderson

Artwork

Rasgo with Patrick Dougherty

18 subscribers

published 2+ y ago

Del

MP3•Episode hjem

Indhold leveret af Eric Anderson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Eric Anderson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Eric Anderson (@ericmander) and Patrick Dougherty (@cpdough) talk about Rasgo, the data transformation platform for MLOps that makes generating SQL easy. The team at Rasgo recently open-sourced a package called RasgoQL, that allows users to execute SQL queries against a data warehouse using Python syntax. Tune in to find out how Rasgo aims to bridge an important gap in the Modern Data Stack.

In this episode we discuss:

The advantages of offering both a low-code/no-code UI and a Python interface
"How can a data scientist, without needing full-time resources from data engineering, be somewhat self-sufficient in data prep and able to deliver those insights without a massive human capital investment needed?"
Where Rasgo fits into the world of feature stores
Why one Rasgo user took a trip to a wind farm in Texas
Eric’s predictions for the future of data prep and transformation

Links:

People mentioned:

Jared Parker (@jaredtparker_)

… continue reading

83 episoder

#Tech #Eric Anderson

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