codecentric

Map/Reduce with Hadoop and Pig

Big data. One of the buzz words of the software industry in the last decade. We all heard about it but I am not sure if we actually can comprehend it as we should and as it deserves. It reminds me of the Universe – mankind has knowledge that it is big, huge, vast, but no one can really understand the size of it. Same can be said for the amount of data being collected and processed every day somewhere in the clouds if IT. As Google’s CEO, Eric Schmidt, once said: “There were 5 exabytes of information created by the entire world between the dawn of civilization and 2003. Now that same amount is created every two days.”

Mankind is clearly capable of storing and persisting this hardly imaginable bulk of data, that’s for sure. What impresses me more is that we are able to process it and analyze it in reasonable time.

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Dusan Zamurovic

 

Android persistence accelerated – revisited

Finally, after quite a while, we found some free time to work on Android persistence library I wrote about in this blog post. Knowing we have very tight schedule, as always, we wanted to make sure library is ready to be used. So, we took a good look at what we did before, rolled up our sleaves and got to work.
Main goal was to make library stable and useful. In order to achieve that, some of the functionalities were reimplemented, some new were added and some were removed. There is no sense in having some features that are not part of any complete logic representing only fractions of future functionality set. Since those are useless if looked upon separately, they could only confuse person who is using the library.

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Dusan Zamurovic

 

Developing JavaScript client using, well, JavaScript

So, we are using JavaScript to develop a JavaScript client. What do you think about that? We are not using GWT, RichFaces or any other tech that could free us from writing JavaScript. We decided to get our hands dirty and to write JavaScript ourselves.

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Dusan Zamurovic