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Deephaven with Pete Goddard

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Manage episode 321666551 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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

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Other episodes:

TensorFlow with Rajat Monga

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81 episodes

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Deephaven with Pete Goddard

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Manage episode 321666551 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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

81 episodes

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