Most Common Myths about Big Data
Is Big Data all about data volume explosion? or is it just limited to catering data acculation through social media feeds? The steady influx of information is not so hard to grasp! To understand Big Data better lets discuss..
Big Data is for Social Media Feeds and Sentiment Analysis
It is actually much more. Behind the lines of code and gigantic databases lie objective and universal insights into the patterns of human behaviour; be it consumer spending, criminal temperament, healthy habits or employee productivity.
Apart from the human behaviour Big Data offers a way to analyse web traffic, IT Systems logs, gauge customer choice preference or any other type of data formats that can create economic value if properly utilized. SO, basically just like its name Big Data is widespread with umpteen large avenues.
Big Data Means Hadoop
Technology is ever-evolving! Google derived Hadoop which is an Apache open-source software framework for working with Big data. Later it was practiced by all the tech resources in the industry. Although Hadoop has taken the lead in the market, but Big Data is too varied and complex for a one-size-fits-all-solution.
Big Data = Volume Explosion!
Only Partly True! Though it is true that Volume, Velocity and variety decides the relevance of Big Data, but one cannot ignore the fact that ‘Volume’ is just a key element, rather other two elements are anytime better indicators.
Variety means different data and file types that are important to manage and analyse data for operational efficiency.
Although more recently, additional V’s have been proposed to ponder upon, including variability -- the increase in the range of values typical of a large data set - and value, which addresses the need for valuation of enterprise data.
With new applications raging all over the technology markets, it is almost impossible to crunch all the data into excel rows and columns.
Structures have outnumbered the input data formats. Pure text, photo, audio, video, web, GPS Data, documents, SMS, geo location data, web logs etc. can be other data formats.
Velocity is implicated with the speed of data processing. The element deals with how quickly the data must be used to create real value. Greater the velocity, more likely we are exposed to Big Data opportunity.
Big Data is for Social Media Feeds and Sentiment Analysis
It is actually much more. Behind the lines of code and gigantic databases lie objective and universal insights into the patterns of human behaviour; be it consumer spending, criminal temperament, healthy habits or employee productivity.
Apart from the human behaviour Big Data offers a way to analyse web traffic, IT Systems logs, gauge customer choice preference or any other type of data formats that can create economic value if properly utilized.
So, basically just like its name Big Data is widespread with umpteen large avenues.
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