A Brighter future in Big Data
5th Oct 2016
We are starting to see it everywhere now - Big Data is making an impact on people everywhere.
Large companies, Universities and governments are just a few of the groups that are jumping at the chance to put it to good use. In fact, one of the world's leading research firms, Gartner, has recently announced that 4.4 million new jobs will be created by 2015 (globally) by the 'Big Data' due to growing demand. They even go on to state that they only think around 1/3 of them will be filled as well.
So, what does this mean for you? For anyone that's currently in or entering a university program with a focus on computer tech or IT, this should be a clear signal to act.In fact, universities are actually moving to meet this demand (or growing problem) by creating new courses and programs which are aimed at people entering future careers in big data. Many of these programs are actually offered online, which is really convenient of course.Similarly, if you're into the idea of online study, you might want to consider what many people think is an even better alternative - online certification. Simply put, an online certification program in big data is just as effective (if not more so) than any collegiate course.Many people feel that these types of learning platforms are actually superior, largely because they are very detailed, 'to-the-point', and also much cheaper. All points aside, a quality big data certification program (like the one you see in the links above) will provide both the training and qualifications you need to find employment in the field.You might be wondering...'Why is big data becoming so important'?It's been said time and time again, we live in a global society that thrives on data. The truth is, data is being collected (and analyzed) at a very fast pace.Arguably, it could even be said that the IT world is having trouble keeping up with the intense pace of data accumulation.What's the root cause of this data flood?Big data seems to have really become an issue after the emergence of two different things:
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