Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead.
Wes McKinney is the CEO of Ursa Computing, a new startup working on accelerated computing technologies powered by Apache Arrow for data science languages like Python and R. He joins the show to discuss the next-generation computational infrastructure for data science.
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