by Angela Guess
Randy Bean of The Wall Street Journal blog recently discussed the concept of Big Data 2.0, writing, “While many executives claim to loath the term Big Data, they should nonetheless appreciate that the term has resonated from Wall Street to Main Street. Tv on my pc. Data may not provide insights or answers to all questions, but wouldn’t we rather have good data available to inform our decisions? The great benefit of the Big Data wave of this decade, from my perspective, has been the elevation of the discussion, and the liberation of data from the exclusive purview of a small community of specialists. Ich bin ein Data Analyst. We are all data analysts and beneficiaries now.”
He goes on, “In the same vein as the debate over Big Data as a term, another debate has swirled around what constitutes Big Data. For some, Big Data means only new forms of data, such as social media data or unstructured data. From my perspective, Big Data refers to the ability to access rapidly and cost effectively all types of data–new, old, large, small, or of any variety–by leveraging new tools and business processes. In this context, Big Data implies a vital new approach that is applicable to all data challenges and opportunities. The Bastille has fallen. The data warehouse will live on, but as one element of a comprehensive data strategy, which also includes data lakes, data hubs, centers of excellence, and analytic sandboxes. Rather than one size fits all, organizations must think in terms of what mix of approaches will be most effective based on the kind of business questions and analyses they need.”
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Bean adds, “Today, we are moving rapidly into the world of Big Data 2.0. If the emerging years of Big Data were about the ability to cost-effectively process larger volumes, greater varieties, and rapidly moving data in motion, the formative years of Big Data will be about creating new businesses and business models that are data driven. As data driven business models emerge and mature, businesses must focus their attention on the two foundational pillars of Big Data 2.0.”
Big Data 2 0 Rar Software
Big Data 2 0 Rar File
photo credit: Flickr/ James Cridland