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Attitudes of a Great Software Developer !!!

Software development is an art, not just a science.  You can learn all the technicalities of software development, but you need to be absolutely passionate about coding and perceive ...
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Significant Software Development Developments of 2013

At the end of each calendar year, I like to summarize some of the most significant developments in the software development industry that happened during the year that is ending. The ...
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NoSQL is not just about BigData

There is so much debate on the SQL vs NoSQL subject, and probably this is our natural way of understanding and learning what’s the best way of storing data. After publishing the small ...
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Big Data the ‘reactive’ way

A metatrend going on in the IT industry is a shift from query-based, batch oriented systems to (soft) realtime updated systems. While this is associated with financial trading only, ...
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Event Emitter in node.js

Event emitter from one class triggers an event to which other functions from other classes can listen. Libraries offer implementations of a framework for publishing events and listening ...
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Big Data and R

This blog post is a presentation of tips on computing with Big Data in R, using Revolution R Enterprise 7.0 and RevoScaleR, Revolution’s R package for HPA computing, as introduced ...
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Node.js Buffer Operations

Pure javascript is not efficient in handling binary data. Node.js has native layer implementation for handling binary data, which is buffer implementation with syntaxs of javascript. ...
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MongoDB “Lightning Fast Aggregation” Challenged with Oracle

What does “Scale” even mean in the context of databases? When talking about scaling, people have jumped to the vendor-induced conclusion that:SQL doesn’t scale NoSQL scalesIt ...
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Performance tuning – measure don’t guess

In my performance tuning career I have given the advice to measure and not guess more often than I can recall. And in many cases the target of this advice has given up after looking ...
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MongoDB Facts: Lightning speed aggregation

In my previous post, I demonstrated how fast you can insert 50 millions time-event entries with MongoDB. This time we will make use of all that data to fuel our aggregation tests. This ...
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