Harvest machine data using Hadoop and Hive
From the developerWorks archives
Date archived: May 15, 2019 | First published: April 08, 2014
Machine data can come in many different formats and quantities. Weather sensors, fitness trackers, and even air-conditioning units produce massive amounts of data, which begs for a big data solution. But how do you decide what data is important, and how do you determine what proportion of that information is valid, worth including in reports, or valuable in detecting alert situations? This article covers some of the challenges and solutions for supporting the consumption of massive machine data sets that use big data technology and Hadoop.
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