August 2014

All posts from August 2014

In-Hadoop analytics

by pm2net on August 29, 2014 , Comments Off on In-Hadoop analytics

Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that’s rolled out of the warehouse. If you’re going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.

Source: big data hub

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7 really good reasons to partner SPSS analytics with R

by pm2net on August 29, 2014 , Comments Off on 7 really good reasons to partner SPSS analytics with R

The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few statistics or programming experts, but that wants to benefit from R.

Source: big data hub

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How next-generation infrastructure informs better, faster decision-making

by pm2net on August 28, 2014 , Comments Off on How next-generation infrastructure informs better, faster decision-making

Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today’s business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.

Source: big data hub

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Make sure your big data isn’t bad data

by pm2net on August 26, 2014 , Comments Off on Make sure your big data isn’t bad data

When data floods companies in such volume as recent years have seen, it can be difficult to know if big data is reliable data. This “data uncertainty” poses a problem for any company hoping to take advantage of their information’s potential. How can companies ensure that their data meets the confidence levels required to effectively apply it?

Source: big data hub

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Sense: Perceiving in the business moment

by pm2net on August 25, 2014 , Comments Off on Sense: Perceiving in the business moment

Most data that organizations capture and collect isn’t valuable. In addition, high value data is often overlooked because organizations can’t capture, analyze and act fast enough. IBM has created a solid foundation to help organizations capture all opportunities, even the ones that are fleeting, like selling more chicken dinners on a Friday night. The goal is to acquire, grow and retain customers based on real-time actionable insight.

Source: big data hub

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The science behind big data storage

by pm2net on August 25, 2014 , Comments Off on The science behind big data storage

Scientific research has become a data powerhouse, propelled forward by sequencing and imaging technologies that accumulate data at astonishing speeds. However, managing petabytes of fast data is not a challenge exclusive to the scientific community. With the deluge of social, mobile and business data, organizations across various industries face similar challenges. This is why big data technologies seeded and tested in the scientific community are being rapidly adopted and replicated in businesses where success depends on bigger, faster and better insights.

Source: big data hub

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