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【Hadoop与大数据43】基于事件驱动架构的实时企业(Richard)
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2015-05-06
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【Hadoop与大数据43】基于事件驱动架构的实时企业(Richard)
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[Problem]
Lots more data than ever before
Twitter: 90 million tweets per day, 8 terabytes per day
On a cross country flight, the sensors in a Boeing 737 generate about 240
terabytes of data
RFID has the potential to generate 100 to 1000 times the
data volume of conventional bar code technology.
In 2010, more than 1200 exabytes of digital info was created. Single
Exabyte is equal to about 1 trillion books.
data created by individuals, but lots from increasing # of sensors as
well
Gartner says enterprise data in all forms will grow 650% over the next five
years with IDC claiming entire world’s data doubles every 18 months
30% of biz leaders say they can’t get the data they need at the speed they
need it, and 61% want faster access
1 in 3 want MORE data
Too much data overwhelming our computing capability and new model needed
How do we know more, faster?; Continuous intelligence
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[Where we want to be]
EDA between systems, in analytics, etc
As opposed to ETL, polling-based solutions, point-to-point
Data in motion vs. data at rest
Use even in IS-centric solutions (e.g. monitoring)
Monitor SLAs in real time and exceptions from the norm
Well designed EDA application is an attention amplifier
** a critical and increasingly scare resource is interrupted time **
Getting just a little bit of the right info just ahead of when it’s needed is a lot more
valuable than all the info in the world a month or day later
New competitive advantage will be an ability to anticipate events based on info
about what’s happening right now
Sometimes you cannot act quickly, so MUST be predictive (think making a product
with long lead time)
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[Key Point 1]
• Improves reaction time
• reduces biz process duration
• improves availability of info (data consistency, situational
awareness)
• Value of event processing lies in recognizing the significance of
an event from a business context, and identifying the right
responses to associate with that event
**event driven good for unpredictable factors, situations and
timing**;
time driven behavior occurs when nature and timing of event can
be planned in advance while request-driven is appropriate when
nature of activity is understood and agreed to, but timing is not
predictable
Use EDA for apps that must respond quickly to situations that
change rapidly and async and where interactions do NOT need to
be transactional
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