Someone exploring external data sets to see what they offer can do the same thing.
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This need to create a complete value chain that incorporates external data is widely understood.
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Methods for finding data and accessing external data will have to be developed.
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One big question about external data is: Do you need to move it?
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So how are we to proceed to create value from external data?
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Inventors want to invent everywhere, anytime, with access to all data ever recorded blended with external data and want it done quickly.
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Eventually, Dutra says, Sun plans to reduce those numbers to zero, renting out the company's processing and storage capabilities from external data centers.
It is important to realize that much of the external data will not provide the clear indications you are used to from internal data.
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They make it clear that external data offers an important opportunity to galvanize action to help make changes that are necessary to strengthen the organization.
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Apigee, an API management and infrastructure platform, is focused on helping people use APIs to both gain access and to provide access to external data.
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In the simplest terms, an API is a set of code conventions which programmers can use to interact with an external data source or web service.
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The key to creating value from external data is to get as many people involved as possible using the sort of technologies mentioned in this article.
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In addition to Alteryx and ClearStory Data, vendors like SiSense, Pervasive, Platfora, Pentaho, QlikView, and Tableau all offer different approaches to democratizing access to external data and big data.
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As a result, programs such as Excel and PowerPivot can directly access marketplace data: giving Microsoft a strong capability to integrate external data into the existing tooling of the enterprise.
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It is obvious that full incorporation of external data sources is going to be a long-term effort, involving changes to data processing technology, analytics, business relationships, and ways of working.
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There will many ways to acquire external data.
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External data will also arrived in packaged form.
FORBES: Do You Suffer from the Data Not Invented Here Syndrome?
As EMC targets the unified storage market, among the fastest growing segments in the data storage industry, the firm has the opportunity to further expand its leading share in the external data storage market (in GB).
NetApp, the third largest vendor of external data storage systems in the world after EMC and IBM, said the acquisition will help it win business in the rapidly growing bandwidth intensive video and high-performance computing markets.
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To me the exciting aspect of this pattern is that it connects the dots between external data, internal data, big data, existing enterprise applications, APIs, and mobile applications in a way that shows a new way to create value.
ClearStory Data, a startup that has not revealed its capabilities, has declared that it will be in the business of providing a platform and user model that makes it easy and intuitive to find high value external data from numerous trusted sources and cross-pollinate this data with private and corporate data for fast, richer analysis.
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The ultimate aim for Big Data is to incorporate multiple sets of data, (preferably) both proprietary (internal) data, with public (external) data and to discover insights into the business through a combination of hypotheses and analyses, augmented with intuition to generate new business innovation.
Instead, they were generated by software that taps into external public data about you.
Because of the volume, level of detail, and amount of noise in external big data, machine learning techniques will be required close to the data.
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But in the long run, creating an advanced system for understanding external big data flowing in from hundreds of systems and recognizing patterns and important events will be the engine of disruption.
FORBES: How External Big Data Opens a Disruptive Frontier for Business Intelligence
You then augment that data with intelligence on the external environment, for example data on compromised sites and systems.
Splunk also provides the infrastructure to store this data over time, correlate this data with other data sources from within the enterprise or from external sources, make the data available to other applications or services across the enterprise, and export the data for other purposes as needed.
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And, as a result, many organizations have a substantial internal factory that churns out data on a regular basis, as well as external resources on call that produce data for onetime studies and questions.
Fashion companies have to be able to combine internal and customer data with external trends.
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Just like the corporate world, the intelligence community is facing the challenge of seamlessly integrating classified and internally collected information with open data from external sources.
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