Gradient Flow’s analysis of data, technology, and business, with a focus on machine learning and AI — one of the Top 10 Sites for Data Scientists.
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Moving from Batch to Continuous Computing at Yahoo!
[A version of this post appeared on the O’Reilly Strata blog.] My favorite session at the recent Hadoop Summit was a keynote by Bruno Fernandez-Ruiz, Senior Fellow & VP Platforms…
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Analytic engines that factor in security labels
[A version of this post appears on the O’Reilly Strata blog.] Originated by the NSA, Apache Accumulo is a BigTable inspired data store known for being highly scalable and for…
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HBase looks more appealing to data scientists
[A version of this post appears on the O’Reilly Strata blog.] When Hadoop users need to develop apps that are “latency sensitive”, many of them turn to HBase1. Its tight…
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It’s getting easier to build Big Data Applications
[A version of this post appears on the O’Reilly Strata blog.] Hadoop’s low-cost, scale-out architecture has made it a new platform for data storage. With a storage system in place,…
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Tracking the progress of large-scale Query Engines
[A version of this post appears on the O’Reilly Strata blog.] As organizations continue to accumulate data, there has been renewed interest in interactive query engines that scale to terabytes…
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How signals, geometry, and topology are influencing data science
[A version of this post appears on the O’Reilly Strata blog.] I’ve been noticing unlikely areas of mathematics pop-up in data analysis. While signal processing is a natural fit, topology,…