2012 has been the year when Apache Hadoop hype reached its
maximum peak till date. Along with the hype, came a lot of success stories
around the adopted use cases. Let’s take a look at some of the Hits and Miss of
Hadoop use cases.
Hits
1) Seismic image processing
Chevron continued to demonstrate the huge technology
initiatives if has taken with the help of Apache Hadoop. One of the major
initiatives which gathered lime light (in 2012, though started earlier) was the
processing of seismic data to detect presence of oil reservoirs.
Under the sea subsurface information is collected by
aggregating a large number of estimates from seismic waves. The process of
creation of higher quality subsurface images has leveraged Apache Hadoop as a
cheap and reliable technology option.
2) Travel analytics:
Travel portals leveraged ApacheHadoop as one of the big consumers of this technology. With major projects
undertaken in analytics and machine learning for online travel, the IT brains
behind the portals leveraged the data crunching capabilities to the hilt.
Selective stories in online media
combined with aggressive Hadoop skills hiring buzz continued to emphasize that
Apache Hadoop is a definite hit with online travel.
Miss:
1) Tsunami and Earthquake forecasting:
One of the grey areas where we
would have liked Apache Hadoop to make a bigger impact was Tsunami and
earthquake forecasting. We all realize the huge data sets that this problem
relies on and how Apache Hadoop could be one of the prime candidates for
processing. However, unfortunately, we failed to hear on any significant Apache
Hadoop presence except for random interest sessions.
2) Olympics problem:
The Olympics games at London was the biggest
event in terms of Big Data generation through the year 2012. One of the big anxieties
that was generated with Olympics was telecom network congestion. 80000 tweets
per minute when Usain Bolt raced to glory and 118 million messages on San Weibo
for opening ceremony – the data and statistics were just astounding.
But we failed to see an
approach where Apache Hadoop could have been leveraged to
predict network traffic or make provisioning arrangements during traffic peaks.
However, let’s not lose hope over
here. Through the next few months, we will try to bring exclusive architecture
approach for Tsunami forecasting and Olympics/Real life event mobile network
provisioning.
As we enter 2013, we see hope for
many success stories and it will only be appropriate if
hadoopsphere.com can contribute its little bit by demonstrating the power of IT
for real life problems. So, stay tuned in 2013; keep mapping the real life
problems while we all try to reduce their impacts.
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