Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/520
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dc.contributor.authorChitturi, Padma Priya-
dc.date.accessioned2026-06-08T10:30:09Z-
dc.date.available2026-06-08T10:30:09Z-
dc.date.issued2016-12-
dc.identifier.isbn978-1-78588-010-0-
dc.identifier.urihttp://hdl.handle.net/123456789/520-
dc.description.abstractIn recent years, the volume of data being collected, stored, and analyzed has exploded, in particular in relation to the activity on the Web and mobile devices, as well as data from the physical world collected via sensor networks. While previously large-scale data storage, processing, analysis, and modeling was the domain of the largest institutions such as Google, Yahoo!, Facebook, and Twitter, increasingly, many organizations are being faced with the challenge of how to handle a massive amount of data.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1161216;-
dc.subjectApache Spark for Data Science Cookbooken_US
dc.titleApache Spark for Data Science Cookbooken_US
dc.title.alternativeOver insightful 90 recipes to get lightning-fast analytics with Apache Sparken_US
dc.typeBooken_US
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