Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...
The Apache Software Foundation has announced the first production-ready release of Spark, analysis software that could speed jobs that run on the Hadoop data-processing platform. Dubbed the “Hadoop ...
Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software. Databricks Cloud is designed to provide a platform for ...
Editor’s Note: Vaibhav Nivargi is the founder and chief architect of ClearStory Data, a data analytics service provider. This week the fast-growing Apache Spark community is gathering in New York City ...
In this RCE podcast, Brock Palen and Jeff Squyres speak with Matei Zaharia about Apache Spark, a fast engine for large-scale data processing. Matei Zaharia is an assistant professor of computer ...
There is no shortage of big data sets in the healthcare world, encompassing everything from chest X-rays to drug research. Startups and established companies alike are both using artificial ...
Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...
There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...
Apache Spark has come to represent the next generation of big data processing tools. By drawing on open source algorithms and distributing the processing across clusters of compute nodes, the Spark ...
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
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