Technology and Big Data Influences On Predictive Analytics
Big Data is a collection of data sets that are so large and complex that they become awkward to work with using traditional database management tools. The volume, variety and velocity of Big Data have introduced challenges across the board for capture, storage, search, sharing, analysis, and visualization. Examples of big data sources include web logs, RFID and sensor data, social networks, Internet search indexing, call detail records, military surveillance, and complex data in astronomic, biogeochemical, genomics, and atmospheric sciences. Thanks to technological advances in computer hardware—faster CPUs, cheaper memory, and MPP architectures-–and new technologies such as Hadoop, MapReduce, and in-database and text analytics for processing Big Data, it is now feasible to collect, analyze, and mine massive amounts of structured and unstructured data for new insights. Today, exploring Big Data and using predictive analytics is within reach of more organizations than ever before.
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Famous quotes containing the words technology, big, data and/or influences:
“Technology is not an image of the world but a way of operating on reality. The nihilism of technology lies not only in the fact that it is the most perfect expression of the will to power ... but also in the fact that it lacks meaning.”
—Octavio Paz (b. 1914)
“Maybe it’s like Casey says. A fellow ain’t got a soul of his own. Just a little piece of a big soul. The one big soul that belongs to everybody.”
—Nunnally Johnson (1897–1977)
“To write it, it took three months; to conceive it three minutes; to collect the data in it—all my life.”
—F. Scott Fitzgerald (1896–1940)
“The first in time and the first in importance of the influences upon the mind is that of nature. Every day, the sun; and after sunset, night and her stars. Ever the winds blow; ever the grass grows.”
—Ralph Waldo Emerson (1803–1882)