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Deephaven with Pete Goddard

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Manage episode 321666551 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) sits down with Pete Goddard (@pete_paco) to talk about Deephaven, the open-core query engine built for real-time streams and batch data. Pete is the CEO of Deephaven Data Labs, and comes to the data world from a background in capital markets trading. Deephaven originally addressed a need for real-time data infrastructure in the finance world, but the team realized how useful their technology could be in a wider variety of verticals. Join us for Pete’s unique perspective on reaching out into alternate industries and use cases through community development.

In this episode we discuss:

  • How Pete transitioned from Wall Street to open-source software
  • Selling investors on open-source
  • Two questions people always ask Pete
  • The luxury of Deephaven’s incremental update model
  • Barrage, Deephaven’s API for streaming tables that extends Apache Arrow Flight

Links:

Other episodes:

TensorFlow with Rajat Monga

  continue reading

83 episoder

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Deephaven with Pete Goddard

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Manage episode 321666551 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) sits down with Pete Goddard (@pete_paco) to talk about Deephaven, the open-core query engine built for real-time streams and batch data. Pete is the CEO of Deephaven Data Labs, and comes to the data world from a background in capital markets trading. Deephaven originally addressed a need for real-time data infrastructure in the finance world, but the team realized how useful their technology could be in a wider variety of verticals. Join us for Pete’s unique perspective on reaching out into alternate industries and use cases through community development.

In this episode we discuss:

  • How Pete transitioned from Wall Street to open-source software
  • Selling investors on open-source
  • Two questions people always ask Pete
  • The luxury of Deephaven’s incremental update model
  • Barrage, Deephaven’s API for streaming tables that extends Apache Arrow Flight

Links:

Other episodes:

TensorFlow with Rajat Monga

  continue reading

83 episoder

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