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Forget big data analytics, try geospatial complex diverse-data analytics

2/05/2014 by

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Just when you thought it was safe to go back into the water and we all understood big data and analytic’s, the industry bites back.

Just when you thought you knew enough about analytic’s to get through a technology news announcement without gagging at the phrase:

“With this tool, you can start to leverage real time actionable insights etc…”

Just when you thought you knew where data came from, the industry points you to spatial diverse-data and the need to perform analytic’s upon it.

Snide jibing and cheap jocularity aside, this is the trend evident in the latest update to TIBCO’s analytic’s platform — Spotfire 6.5, which arrives this week.

The firm says the new iteration is tuned to connect to diverse-data sources including new spatial data sources.

What is spatial data?

Spatial data, or geospatial data, is information about a physical object that can be represented by numerical values in a geographic coordinate system. Generally speaking, spatial data represents the location, size and shape of an object on planet Earth such as a building, lake, mountain or township. Spatial data may also include attributes that provide more information about the entity that is being represented.

This article has been extracted from http://www.computerweekly.com, please click on this link to read the article in full http://www.computerweekly.com/blogs/cwdn/2014/05/forget-big-data-analytics-try-spatial-diverse-data-analytics.html

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