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Data Science and Big Data Challenges

71 percent of data scientists believe their jobs have grown more difficult Interesting study and observations on Data Scientists suffering from increasing difficulty with data, systems and parallelism for analytics. But this is partly brought on by trying to self-build from a diverse set of components that do not always fit particularly well or at…

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Many CPUs make light work of complex text comparison

Feature of the Month – EDIT_DISTANCE function A great example of how useful little functions can place extreme demands on your computing infrastructure by virtue of the underlying math and iterations required. In this case the function calculates the Levenstein Edit Distance for two strings. Kognitio’s scale-out processing across all available servers and all available…

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EU firms ‘obstructing access’ to customer data

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Many organizations in Europe may be failing in their legal responsibilities when it comes to sharing the information they have on customers, either because they are not aware of their requirements or through deliberate obfuscation. This is according to a study conducted by the University of Sheffield, which submitted requests to 327 companies throughout the…

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Firms ‘must know’ the value of their data

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With more companies looking to implement big data analytics projects and derive usable insight from their digital assets, it is becoming more important than ever that they have a good idea of just how much their data is worth in real terms. As the volume of information grows and its importance to a firm's operations…

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