Which is no surprise, as algorithms to predict certain types of data are often easily portable to other types of data.
We started relational, then objects, then text, then XML, now a lot of different types of unstructured data types all going into the Oracle database.
One can start leveraging big data by looking around to see what types of data sets are already available and thinking about how to best monetize them.
But with consistent and rapid improvements in technology, scientists are no longer able to keep pace with the rate of data generation, which includes interrelated data of different types.
Users will see access dialogs when an app tries to access any of those data types.
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New search engines have been developed, which are specifically designed to query the data types that reside in the data lake.
Fingerprints, photographs and DNA testing are all familiar biometric data types today.
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Integrating collaboration as a horizontal layer into the enterprise app incorporates new data types such as conversations, tags, comments and other collaboration content into the enterprise app itself.
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Market leaders have been storing and analyzing multi-data types not only to gain competitive advantage but also to achieve deeper insights into customer behavior patterns that directly impact their business.
The goal is to extract a smaller set of data that can be analyzed, using any of the same visualization or analytical tools that would be used for other data types.
Integrating all these data types in one platform and using their power in full conjunction across an enterprise is the long-term possibility of Metropolis, which makes it a very different animal from traditional quant platforms.
The moral of this story is that information hoarding in order to leverage Big Data tools may work in the structured data world, but will not work in the broader information world that includes unstructured content (the Word file, PowerPoint presentations, CAD files, audio files, and other large data types that dominate corporate information stores).
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Millions of simultaneous users play Farmville or Draw Something (which scaled up to 36 million users in 6 weeks), which requires a simple, fast, elastic database (called a NoSQL database, a new category of product designed for the age of big data), that can process and deliver massive amounts of user and other types of data in real time.
Not only do you have to load all types of data about your employees, you also have to load job profiles, assessments, training modules, and dozens of other types of third party data.
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The simplest approach may be through the technology offered by Splunk, which has its own search language that allows you to search through big data, identify useful query types, and express your developing understanding of the structure of the data as you search.
The data include all types of requests, including search warrants, subpoenas and requests under the 1986 law.
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The larger the company, the more data of all types that is ready for analysis, the more this is likely to be true.
This week, we will delve deeper into the kinds of surprises that are possible from new sources of data, new types of applications, and new categories of technology.
The satellite images picked out the right type of afforested land, and topography, which, when combined with other data on soil types, rainfall, and temperature, produced a clear "Loa Loa map" of several African countries, including Burkina Faso, Mali and Niger.
Other types of data, such as sensor output, may be useless drivel to prying eyes.
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More than half the people surveyed couldn't tell which types of data a sample app could collect.
The new requirements for phone and internet companies sets out different time limits for retaining different types of data.
Such wearable computers combine physical reality with augmented video, text or other types of data to provide a distinct interactive experience.
The first step is to be aware of all the types of data that are available both internally and externally.
For certain types of data, we suggest that society consider expiration dates.
They also tend to mash up or layer multiple types of data to understand correlations (e.g. vegetation health and levels of specific contaminants).
The majority failed to inform parents about the types of data the app could gather and who could access it, the FTC said.
Commercial, scientific and government organizations are figuring out ways to collect new types of data and bringing them into a new type of cloud.
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DeBoer says when they broke down the data into the different types of milk with increasing fat content, the findings were even more striking.
Frankly, when I hear about these types of data compromises I find the discussions of encryption technologies and solutions to be a waste of time.
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