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The Future Roadmap for the Composable Data Stack

Wes McKinney Wes McKinney | Principal Architect | Posit, PBC

In this talk, I will review the progress we have made in the last 10 years developing composable, interoperable open standards for the data processing stack, from such infrastructure projects as Parquet and Arrow to user-facing interface libraries like Ibis for Python and the tidyverse for R. In discussing the current landscape of projects, I will dig into the different areas where more innovation and growth is needed, and where we would ideally like to end up in the coming years.
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Wes McKinney
Wes McKinney
Principal Architect | Posit, PBC

Wes is an entrepreneur and open source developer focusing on analytical computing and new AI engineering systems. He is a Principal Architect at Posit and General Partner at Composed Ventures, an early stage angel fund. He created the Python pandas and Ibis projects, co-created Apache Arrow, and wrote Python for Data Analysis. He was a founder of Voltron Data, Ursa Labs, and DataPad. His current projects include: roborev (code review for AI agents), agentsview (search and analyze agent sessions), and msgvault (archive, search, and analyze email with AI).

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