12-04, 16:00–16:30 (UTC), Data/ Data Science Track
In this talk, I will offer my perspective on the modern data tools landscape and in particular user-facing tools for interactive data science and data exploration. The latest trends of composable data systems and embeddable query engines like DuckDB and DataFusion create both challenges and opportunities to create a more coherent and productive stack of tools for both end user data scientists and developers building data systems.
In this talk, I will offer my perspective on the modern data tools landscape and in particular user-facing tools for interactive data science and data exploration. The latest trends of composable data systems and embeddable query engines like DuckDB and DataFusion create both challenges and opportunities to create a more coherent and productive stack of tools for both end user data scientists and developers building data systems.
Previous knowledge expected
Wes McKinney is an open source software developer and entrepreneur focusing on data processing tools and systems. He created the Python pandas and Ibis projects, and co-created Apache Arrow. He is a Member of the Apache Software Foundation and also a project PMC member for Apache Parquet. He is currently a Principal Architect at Posit PBC and a co-founder of Voltron Data.