{"product_id":"9780615993430","title":"101 ''Insanely Great'' Resources -- Big Data","description":"101 'Insanely Great' Resources -- BIG DATA is an easy-to-use introduction to the world of Big Data, and in\u003cbr\u003eparticular to 101 important resources for understanding the topic. This e-Book \/ PDF is filled with\u003cbr\u003eembedded links that take you directly to the Big Data section of a particular resources (e.g., The Wall Street\u003cbr\u003eJournal) or to more specific sites such as Data Science Central or journals.\u003cbr\u003eWhy is this resource important?\u003cbr\u003eBig data is a combination of old and new technologies that helps companies gain actionable insight.\u003cbr\u003eRather than think of big data as a particular data set, one can derive a higher value proposition by\u003cbr\u003emanaging a huge volume of disparate data at the right speed and within the right frame of time to allow\u003cbr\u003ereal-time analysis reaction and behavior modification. Big data is typically broken down by four\u003cbr\u003echaracteristics:\u003cbr\u003e• Volume: How much data;\u003cbr\u003e• Velocity: How quickly that data is processed;\u003cbr\u003e• Variety: The various types of data; and\u003cbr\u003e• Veracity: How accurate is the data? This is the most important of the four categories.\u003cbr\u003eWhile these four 'V's are a helpful framework, they can be misleading and overly simplistic. For example, a\u003cbr\u003ecompany may have huge volumes of very simple data; by contrast, another may have a smaller amount of\u003cbr\u003emuch more complex unstructured data. Even more important is the data's veracity. How accurate is that\u003cbr\u003edata in predicting business value?\u003cbr\u003eData must be able to be verified based on both accuracy and context. It is also important to identify the right\u003cbr\u003eamount of data that can be analyzed to impact business outcomes.\u003cbr\u003eImplementing big data processes is not easy. According to Gartner:\u003cbr\u003eCompanies deploying big data projects to production were initially, and correctly, focused on deriving\u003cbr\u003ebusiness value and developing their big data strategy. As enterprises realize value from these projects, and\u003cbr\u003ethey become more entrenched in the business, big data efforts will have to mature. Enterprises must\u003cbr\u003eevolve infrastructure and skills to maximize big data investment [so that] new data sources make big data\u003cbr\u003evaluable.\u003cbr\u003eIn this respect, it is important to remember that actionable knowledge is not inherent to data per se; rather,\u003cbr\u003eit must be extracted based on rules and algorithms.\u003cbr\u003eAll of this begins with Big Data, and these 101 resources will get you well underway.","brand":"BK Literary Enterprises LLC","offers":[{"title":"Default Title","offer_id":47106924249328,"sku":"9780615993430","price":2.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780615993430_p0.jpg?v=1763601207","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780615993430","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}