Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
amazon.com
Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
With social network analysis, it is necessary to look at who the calls were between and then extend that view deeper. You not only need to know who I called, but who the people I called in turn called, and who those people in turn called, and so on. To get a more complete picture of a social network
large amount of detail is captured in order to assess equipment lifecycles and identify recurring issues. Consider
perhaps linear regression, logistic regression, a decision tree, and a neural network are all created to predict the likelihood of a customer purchasing a given product.
Within a big data feed there will be some information that has long-term strategic value, some that will be useful only for immediate and tactical use, and some data that won’t be used for anything. A
RFID tags remove the need to manually log or inventory each item and allow a census to be taken much more rapidly.
a multi-petabyte computer by the time they’re in college and they’ll work on systems that have exabytes, if not zettabytes, of storage.
It’s imperative to minimize the time that aircraft and aircraft engines, as well as other equipment, are out of service.
We’ll discuss the convergence of the analytic and data environments, massively parallel processing (MPP) architectures, the cloud, grid computing, and MapReduce. Before we start,
Ironically, one of the best times to surpass the competition is during bad times. While the competition is hunkering down, a company can invest in innovation and surpass them.