1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchAlekh Jindalhttps://www.microsoft.com/en-us/research/people/aljindal/Magpie - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="qAhVnw1wg2"><a href="https://www.microsoft.com/en-us/research/project/magpie-2/">Magpie</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/magpie-2/embed/#?secret=qAhVnw1wg2" width="600" height="338" title="“Magpie” — Microsoft Research" data-secret="qAhVnw1wg2" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Python has become overwhelmingly popular for ad-hoc data analysis, and Pandas dataframes have quickly become the de facto standard API for data science. However, performance and scaling to large datasets remain significant challenges. This is in stark contrast with the world of databases, where decades of investments have led to both sub-millisecond latencies for small […]