First entities like company names, products, people, places, etc. are extracted from the unstructured data.
Second, entities are identified in structured data and linked to the entities found in unstructured data.
Unstructured data will be analyzed and correlated to structured data using capabilities like Attivio or Autonomy.
The company is working to make it more effective for unstructured data, he said.
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Sybase has an engine that stores both structured and unstructured data and allows queries against them.
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In many ways, news in the form of unstructured data is still in early stages.
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Unstructured data is facing the same challenges that structured information faced in its early days.
Social and society mining searches unstructured data like complaint letters, blog posts and tweets.
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Beyond data volume, a key concern was data integration of structured and unstructured data.
This repository must accommodate unstructured data and be able to monitor streams of data for events as it arrives.
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Another lies in using, best in class analytical tools that can deal with incompatible data formats and unstructured data.
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It becomes particularly useful when dealing with unstructured data such as emails, tweets, documents and social media, Tennant says.
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Unstructured data is interesting and contains information we want to report on and want to integrate with other (structured) data.
Hadoop is being used for the full spectrum of advanced analytics, both batch and real-time, against structured and unstructured data.
High velocity market data is old news in capital markets the new news is the demand in for unstructured data.
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Just making it easy to search through unstructured data that is relevant to a specific dashboard can be a help to users.
"That unstructured data has to be a goldmine of intelligence, " he said.
In addition, modern applications frequently deal with unstructured data: blog posts, web pages, voice transcripts, and other data objects that are essentially text.
Of course, all of this works best when you have questions that arise from structured data that can be answered using unstructured data.
Does it contain a significant amount of unstructured data from video or audio or can it be put into a relational database easily?
This means, for example, merging structured data such as customer demographic and purchase information with unstructured data that customers generate through social media.
NoSQL has been gaining traction with multiple companies which have to deal with vast amounts of unstructured data, like Google, Facebook and Yahoo.
Watson is designed to "understand" natural language requests and then access vast quantities of unstructured data to find the best answers to questions.
For example, customer data could go into a relational database, linked to a non-relational database for unstructured data such as product reviews and recommendations.
First of all, the entity data and the sentiment analysis and other analysis techniques become part of the meta data for the unstructured 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.
This allows the unstructured data to be presented as structured data.
We have created free xPatterns tools to demonstrate how our technology can be used by the general public to mine both structured and unstructured data.
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One result is that the percentage of firms making some use of unstructured data has grown from around 5 percent in 2008 to over 30 percent.
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Data previously thought of as information poor or impossible to analyze (e.g. big unstructured data sets, log files, etc.) now offer new value and business potential.
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