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Hits and Miss among Hadoop use cases in 2012

By Sachin Ghai
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.
source:: IBM Almaden

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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