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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Big Data Processing Stacks
ترجمه فارسی عنوان مقاله:
پشته های پردازش داده های بزرگ
منبع:
IEEE - 1520-9202/17/$33.00 © 2017 IEEE
نویسنده:
Sherif Sakr
چکیده انگلیسی:
The radical expansion and integration of computation, networking, digital devices, and data storage has generat- ed large amounts of data that must be
processed, shared, and analyzed. For example,Facebook generates more than 10 petabytes of log data monthly, and Google processes hun
dreds of petabytes per month. Alibaba generates tens of terabytes in daily online trading trans
actions. This collected information is grow ing, and the explosive increase of global data in
all 3Vs (volume, velocity, and variety) has been termed big data. According to IBM, we are cur
rently creating 2.5 quintillion bytes of data ev ery day (https://www-01.ibm.com/software/data/
bigdata/what-is-big-data.html). IDC predicts that the worldwide volume of data will reach 40
zettabytes by 2020, 85 percent of which will be unstructured data in new types and formats—including server logs and other machine-generated
data, data from sensors, social media data, and many other sources (www.emc.com/about/news/
press/2012/20121211-01.htm). In practice, these conditions represent a new scale of big data that
has been attracting a lot of interest from both the research and industrial communities, which
hope to create the best means of processing, analyzing, and using this data.
قیمت: رایگان
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