According to IBM, we develop 2.5 quintillion bytes of data every day. These data originates from all spheres of activity and all over: to name simply a few, data’s come from sensing units, social networks websites, digital images, web logs and deal records of online purchases etc,.
In general, data can be classified into 3 classifications. Any data which can be saved in databases can be called as Structured information. For example, transaction records of online purchase can be saved in databases. Hence, it can be called as Structured data. Some data can be partly kept in databases which can be called as Semi-Structured information. For instance, the data on the XML records can be partially saved in databases and it can be called as Semi Structured Data.
The other types of data which will not fit into these two classifications are called as Unstructured Data. To name a few, data from social media sites, web logs can not be stored analysed and processed in databases, therefore it is categorised as Unstructured Data. The other term utilized for Unstructured Data is Big Data.
According to NASSCOM, Structured Data represents 10% of the overall data that exists today in the Web. It represents 10% of semi-structured information and the remaining 80% of information comes under Unstructured Data. In general, companies utilize analysis of Structured and Semi Structured Data utilizing traditional data analytics tools. There was no sophisticated tools readily available to evaluate the Unstructured Data till the Map Decrease framework which was developed by Google. Later on, Apache developed a framework called “Hadoop” which analyses all these Information and reveals info which will be of great help for organisation to take much better choices.
Hadoop has actually already proved its significance in numerous areas. For instance, according to NASSCOM, many organizations have begun using Big Data analytics. National Oceanic and Environment Administration (NOAA), National Aeronautics and Area Administration (NASA) and several pharmaceutical and energy business have started using big data analytics extensively to forecast their consumer behaviour.
According to a recent research study from Nemertes group, organizations perceive worth in Big Data analytics and preparing to have a better take advantage of in profiting of Big Data Analytics. The New York Times is using Big Data tools for text analysis, and Walt Disney Company utilize them to correlate and understand client behaviour in all of its stores and amusement park. Indian IT companies such as TCS, Wipro, Infosys and other key players have actually also started to reap the enormous capacity which Big Data continues to provide.
This clearly reveals that Big Data is an emerging area and lots of companies have actually started to explore new opportunities. Meanwhile, usage Big Data is proving to be beneficial however at the same time it might also be kept in mind that personal privacy and data protection issues have likewise risen.
The concern about Big Data analytics is very much valid from the viewpoint of personal privacy. Let me offer a really simple example. Nowadays I am very much sure that most of us use Social network such as Face book, Twitter and numerous other social forums and most of us view videos on YouTube. Imagine these sites using Big Data Analytical tools to determine your activity on the Internet, to analyse data, your search behaviour and the content you have actually viewed in social media. Through Big Data your activity on the Social Media Online forum can be clearly determined. This is an outright offense of your personal privacy. Even more, simply envision the company is sharing the data from the analysis to a couple of marketing agencies, this in turn develops more personal privacy issues.
Now let us go over things from the data protection perspective. As usual. Big Data is kept in Cloud environment. It implies the data is dispersed over the network and saved someplace in the World. Let me offer an example. Let us state you reside in UK and access some social networks website and your information including your profile may be saved in a country in Asia or in some other nation. If the social media website chooses to sell some of the data including your information to a marketing firm, they will be in a position to acquire total access to your profile, including your telephone number.
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If the marketing company tracks the geo-location of the contact number, they will be in a position to tape-record your complete movements right from the time you leave your home and move on to your pal’s home, when you leave your house for work and even your visit to your lover will likewise be recorded. Armed with this information, marketers may utilize things for their advantage according to the regular routine embraced by you every day and they can likewise find you and promote their ventures wherever you are. It clearly reveals that Data security is another major interest in Big Data Analytics.
Numerous lawmakers and regulators around the globe have voiced their concern about Big Data analytics. Organizations such as Consumer Guard dog have also raised apprehensions about personal privacy and information security connected with Big Data Analytics. According to a report from Gartner, “Forty one percent of consumers state they would be concerned about privacy if they were to utilize mobile place services so that they can receive more targeted offers through marketing or loyalty programs”.