Splunk Analytics for Hadoop enables detection of patterns across petabytes of data

Advantage is that schemas don’t need to be created in order to search for patterns, since Hadoop is leveraged. Makes sense, since by creating a schema the user is already making assumptions about where the patterns exist. By doing a schema-less analysis, it’s possible to find unexpected anomalies within patterns and to find entirely new patterns.

Splunk includes visualization components.

Splunk’s Director of Big Data Marketing, Brett Sheppard, says that this is well suited for the Internet of Things (IoT), which can leverage visualization tools that report on the results of searching for anomalies in large amounts of machine generated data.



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