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    "abstract": "Data management is the core task of IT, yet it has been sadly undervalued and largely ignored for the past thirty years. Data management problems are often approached from a storage perspective, which leads to vendor lock-in, management complexity, and difficulty incorporating emerging technologies in a heterogeneous environment. — However, the unprecedented growth of data – in the 10-60 zettabyte range by 2020 – has larger firms and public cloud services, who are concerned about how they will store all the data cost-effectively, suddenly very interested in developing a data management strategy that combines the latest technologies into a serviceable cognitive data management capability that can help bridge incompatible point solutions. — Media and entertainment has, in many respects, been on the leading edge of the data explosion. It makes sense that M&E will also be on the cutting edge of solutioneering to realize the cognitive data management vision. — This paper looks at the drivers of, the requirements for, and the essential functionality of cognitive data management strategy, and how these principles may apply to M&E workflows. In addition, the paper will show how such a metadata-centric approach can help companies overcome data silos and enable IT planners to take advantage of any storage technology without impacting users, or adding IT management complexity.",
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    "authors": [
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        "affiliation": "StrongBox Data Solutions",
        "name": "Floyd Christofferson"
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    "docTitle": "Building a Cognitive Data Management Strategy (And Why Doing So is Suddenly So Important)",
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