大数据英语PPT

fig. New types of research data about human behavior and society pose many opportunities if crucial infrastructural challenges are tackled.
Part 5 conclusion
Now: available digital data:150 EB(Exabyte)(2005) 1200
EB(2010)
Predicted: the stock of digital data is expected to increase 44
times between 2007 and 2020, doubling every 20 months.
opportunities
opportunities
Data revolution
today a massive amount of data is regularly being generated and flowing from various sources, through different channels, every minute in today’s Digital Age.
Medical treatment
Electronic health record
E-commerce
Taobao Amazon
transportation
Flow of traffic Baidu map
F O T—— flow of traffic
The current traffic flow data and historical data from road traffic system acquisition equipment acquired (types of data resources, after numerous) centralized, unified management, deep processing, to achieve the flow of dynamic, real-time and accurate traffic prediction and judgment, so as to realize the real-time traffic flow data sharing to improve city road traffic congestion problem.
Thank you
Part 5 conclusion
Today data require scientific and computational intelligence. Big Data Future is a free, public, multidisciplinary conference on
the possibilities for new enterprises grounded in “big data” to improve economic, social, and political life. What is needed is both intent and capacity to be sustained and strengthened, on the basis of a full recognition of the opportunities and challenges.
Characteristics:
Volume : data size Velocity :speed of change Variety : different forms of data sources
application
application
Bank transactions
1.3 million transactions in 2015 worldwide;
Big data
Taobao search
definition
definition
Big data is the need for new processing mode to have a stronger decision-making power, insight into the ability to find and process optimization to adapt to the massive, high growth rate and diversification of information assets.
The early years of data revolution:
challenges
challenges
Data
privacy access and sharing
Analຫໍສະໝຸດ Baidusis
“what is the data really telling us?”
summarizing the data interpreting defining and detecting anomalies