After all, we generate more than 2.5 Qn bytes of data every day, and this figure is going to only increase – thanks to IoT and other advanced technologies. For the uninitiated, IoT stands for Internet of Things, and it is basically a really bad name for an extremely simple concept.
The idea behind IoT is interconnecting the most commonly used devices and optimizing their usage to make our lives simpler. For instance, taking a very basic example, your electric teapot is linked to your alarm clock so that your tea is ready as soon as you wake up. But don’t be mistaken, IoT isn’t just limited to teapots and alarm clocks, and is instead a vast sea in itself – so if you’re interested, don’t forget to explore more!
Coming back to the discussion, such interconnection of devices over the internet surely increases comfort and convenience but at the cost of data. So, other than social media, search engines, and whatnots, even your electric teapot is a source of data.
This data, all of this combined, is precisely what forms Big Data.
And if you’re with us so far, you’d have realized how inevitable Big Data is, and how essential it is to know how to tame it – for the success of any business.
This enormous increase in data is what has given birth to Data Science, which has further branched into Machine Learning, Artificial Intelligence, Deep Learning, and more. All of these technologies are for businesses to make sense of their heaps of data and derive insights from it.
Therefore, it shouldn’t come as a surprise that the global Big Data and business analytics market stood at US$ 169 billion in 2018 and is projected to grow to US$ 274 billion by 2022. Moreover, a PwC report predicts that by 2020, there will be around 2.7 million job postings in Data Science and Analytics in the US alone.
These stats only reinstate the fact that the jobs in Big Data are increasing, and as Big Data increases, so will the opportunities. It’s because of that very reason that many mid-career professionals are switching to Big Data, and many freshers are aclimatizing themselves with Big Data tools and techniques to get a jumpstart in their career.
Now, if you’re either of the two, you might often wonder about the precise future of a career in Big Data. You might wonder if this Big Data wave will be shortlived, or is it here to stay.
Our stance is clear, and we’ve walked you through numerous statistics to support our claim. Now, let’s walk you through how the future looks for a career in Big Data.
#big data #future #bright #the future is bright #scope of big data #india
