Trending in IT

by Anthony T
The article focuses on Hadoop and MapReduce and their place in the market.
Hadoop is basically a software which can allows applications to work in
collaberatively with hundreds and even thousands of indepedant computers.
Another selling point to this software is the fact that it can handle
data in the range of petabytes. MapReduce is a framework. Its practical use
is for processing clusters or grids. The data used for processing can either
be unstructured(filesystem) or structured(database). The author reports that
there will be a significant jump in growth for Hadoop and MapReduce and
forecests that jump at 60% in 2016. The idea behind the software and framework is to split big amounts of data and process them among many different nodes; most of the data being unstructured and coming from internet sites and social networking apps.

I find it actually very interesting how data consumption is shaping the world
of IT. The number forcasted in the article, in my opinion, is rather
exaggerated; however, i think the author has picked up a very important
trend in the IT field. This informatino here has actually sparked my curiousity.

Kanaracus,Chris(May 7,2012).IDC: Explosive Growth Expected for Hadoop, MapReduce Related Revenues. Retrieved from

4 thoughts on “Trending in IT”

  1. Just like cloud computing, grid computing is the future of IT. There are billions of computers in the world and having them share their power to save energy and divide performance would make databases more efficient. These methods would make powerful databases more accessible to small businesses since they will not require to buy expensive equipment to support their database.

  2. I really like the concept behind it. It has got lot of potential. And yes the numbers might be exaggerated, but the idea behind the whole thing is for saving of energy and being more efficient. It has sparked my curiosity too.

  3. This idea is interesting to say the least. Like Ricardo said, combining the power of all those computers would have huge benefits to databases. I also like the idea of splitting up the processing workload, it is like a case of working smarter not harder.

  4. This reminds me of DynamoDB which is an Amazon Web Service that basically does the same thing. It handles as many requests per second as the client desires. By splitting the requests with different physical machines it performs much faster. This trend is transforming into a necessity for large databases.

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