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Innhold levert av Eric Anderson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Eric Anderson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Rasgo with Patrick Dougherty

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Manage episode 329732566 series 2626943
Innhold levert av Eric Anderson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Eric Anderson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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:

  continue reading

83 episoder

Artwork

Rasgo with Patrick Dougherty

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18 subscribers

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Manage episode 329732566 series 2626943
Innhold levert av Eric Anderson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Eric Anderson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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:

  continue reading

83 episoder

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