Nowadays,
business tries to explore the four V’s of big data: volume, variety, value, and
velocity. People usually focus on building strategies to deal with huge volume
of data generated by huge amounts of sources. Hadoop and NoSQL are used to manage
the variety of unstructured data types. In addition, business gains economic
value from identifying information in data. However, few people pay attention to
the velocity of big data. Today, I am going to talk about what is the velocity
of big data- fast data.
Fast Data is a complimentary approach to Big Data for managing
large quantities of “in-flight” data that helps organizations get a jump on
those business-critical decisions1. Fast data solutions help manage the velocity (and scale) of any type of
data and any type of event to enable precise action for real-time results, says
Amit Zavery, vice president of Oracle Fusion Middleware product management2.
We can even tell the difference between the definitions from VMware. Big data allows
you to find opportunities you didn’t know you had, but fast data allows you to
respond to opportunities before they’re gone3.
We can then talk about the applications in different
industries. For a common use, fast data are helping organizations develop
integrated fast response systems. In some telecom organizations, fast data are
used to manage their resources more effectively. In the retail industry, fast
data are used to analyze and manage customer’s opinions and experience. I have
to say, fast data becomes a very important part in big data area that we may
need to take a look at it.
References
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