Eight big data applications that changed our lives
Source: Internet
Author: User
KeywordsLarge data large data applications
With regard to the concept of large data, despite the suspicion of being hyped up, it is undeniable that the global volume of data is increasing at an alarming rate every 18 months, and the world is moving towards a high-speed digital age. Facing this era, how to dig bokhary data is the opportunity and challenge of all individuals, enterprises and countries. In fact, from architectural design to film and television production, from urban traffic to air quality, whether we admit it or not, large data analysis applications have undoubtedly penetrated all aspects of our lives and will change the fate of human society, large data is at the foot, although many times we do not realize. Here are eight big data applications that change our lives.
Netflix: The first big data produced by the history of the series "Card House"
Netflix is the largest commercial video site in the United States, with 29 million users. Netflix itself is also a big data carrier, collecting huge amounts of user data every day, not just about what types of videos people like to watch, where to look, what devices to watch, but also when you fast-forward, when to pause, or whether to read the entire film. Netflix also has the world's best user Referral system and kaggle in millions of dollars on big data competition sites to increase its recommended accuracy.
It is precisely because of the large data analysis of this weapon, Netflix will dare to launch the "card House" to completely subvert the film and television industry. "The Card House" is the first "dare" to broadcast the whole season of the online TV series, rather than as a regular TV series to set the film, according to the audience opinion of the plot and cast adjustment. Thanks to strong data-analysis support, Netflix has been able to predict audiences and the market's response, bringing together fans of the original card house and fans of Kevinspethy and director Fincher, and the card house is the first big data-maker ever. Reference reading: Solitaire Quest: Netflix's Big Data alchemy
Second, the genealogy website Ancestry.com
Ancestry.com helps people look for family members and organize genealogy, which seems to have little technical content, but in practice it means maintaining more than 11 billion records and more than 4PB of content, including history, birthdays, death records, war and immigration records, and even hand-copied calendars. Ancestry.com uses advanced content processing technology to index content to make it easier to search. Ancestry.com also generates new data streams based on additional DNA analysis, such as a test tube of saliva, and makes comparison analysis in the database to help users find loved ones. In short, Ancestry.com is the standard big data application case from head to toe.
Mount Sinai Medical Center
Mount Sinai Medical Center (Mount Sinai meddical Center) is the largest and oldest teaching hospital in the United States and an important centre for medical Education and biomedical research. The medical Center uses technology from a large data start-up firm, AYASDI, to analyze the entire genome of E. coli, including more than 1 million DNA variants, to understand why strains are resistant to antibiotics. AYASDI's technology uses a new mathematical research method: Topological data analysis (topological) to understand the characteristics of the data.
California Power grid System Operation Center
The California Grid Operations Center (ISO, Independent system Operator) manages more than 80% of California's power grids, as 35 million users deliver 289 million megawatts of electricity a year, more than 25000 miles long. The center uses the space-time insight software to carry on the intelligent management, can synthesize the analysis from the weather, the sensor, the metering equipment and so on various data source's massive data, through the visualization interface, the user may optimize and utilize the renewable energy in the optimal way, balanced the whole network electricity supply and the demand, And respond quickly to potential crises.
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