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Extrahop makes wiretapping the saviour of big data

With your permission, of course
Mon Aug 11 2014, 11:27

EXTRAHOP HAS REVEALED to The INQUIRER the latest developments in its "wire data" take on big data analysis.

The firm has extended its Extrahop Open Data Stream, the analytics service that runs under Splunk and VMware Log Insight, to offer the same "needle in a haystack" analytics results to MongoDB and Elasticsearch.

Extrahop augments existing big data analysis by tapping its customer's internet traffic and translating the findings into tangible data that can be used to isolate events or results that can be used to explain events or confirm patterns and trends.

While the term "wire tapping" brings forth images of the US National Security Agency (NSA) PRISM snooping and the UK press phone hacking scandal involving Andy Coulson, when used legitimately, responsibly and most importantly with permission, it can become a powerful tool.

Extrahop claims that because it analyses data in its pure form before it reaches a particular system or department, it can provide a more holistic view with insights that internal analysis cannot.

"Extrahop is about breaking down data silos" explained Extrahop SVP of marketing and business development Erik Giesa. "By gaining better visibility across all your big data, you are more likely to pinpoint a single event or series or events that affect your business the most."

The Extrahop Open Data Stream service is a completely open platform that can be rolled out either on premise or in the cloud. It is fully encrypted with the data sets remaining anonymous to all but the end user. Even the result data held by Extrahop is completely meaningless to it without its clients' input.

Extrahop said that it fully integrates data from existing analysis tools, and by manipulating its comprehensive graphic user interface (GUI) it can provide specific results in far more depth, and drill down in far more detail, so if there is a glitch in The Matrix, then it becomes much easier to isolate. µ


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