According to IBM, we produce 2.5 quintillion bytes of information every day. These information originates from all spheres of activity and all over: to call simply a few, data’s originated from sensors, social networks websites, digital images, web logs and transaction records of online purchases etc,.
In general, information can be categorized into three categories. Any information which can be kept in databases can be called as Structured information. For instance, deal records of online purchase can be stored in databases. Thus, it can be called as Structured information. Some information can be partially stored in databases which can be called as Semi-Structured data. For example, the information on the XML records can be partly saved in databases and it can be called as Semi Structured Data.
The other types of information which will not fit into these 2 categories are called as Unstructured Data. Among others, data from social media websites, web logs can not be stored evaluated and processed in databases, for that reason it is categorised as Unstructured Data. The other term used 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 data comes under Unstructured Data. In general, companies use analysis of Structured and Semi Structured Data utilizing traditional information analytics tools. There was no advanced tools offered to evaluate the Unstructured Data till the Map Reduce structure which was developed by Google. Later on, Apache established a framework called “Hadoop” which analyses all these Information and reveals info which will be of great help for business to take better decisions.
Hadoop has already shown its importance in a number of locations. For instance, according to NASSCOM, numerous companies have actually started using Big Data analytics. National Oceanic and Environment Administration (NOAA), National Aeronautics and Area Administration (NASA) and several pharmaceutical and energy companies have started utilizing big data analytics thoroughly to anticipate their customer behaviour.
According to a recent research from Nemertes group, organizations view value 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 Business utilize them to associate and understand customer behaviour in all of its shops and amusement park. Indian IT companies such as TCS, Wipro, Infosys and other key players have actually likewise begun to gain the immense capacity which Big Data continues to provide.
This plainly shows that Big Data is an emerging location and many companies have started to check out new opportunities. Meanwhile, use Big Data is proving to be beneficial however at the same time it may likewise be noted that personal privacy and information security concerns have also increased.
The concern about Big Data analytics is quite valid from the viewpoint of privacy. Let me provide an extremely easy example. Nowadays I am quite sure that most of us use Social network such as Face book, Twitter and lots of other social forums and most of us see videos on YouTube. Envision these websites utilizing Big Data Analytical tools to determine your activity on the Internet, to analyse data, your search behaviour and the content you have actually seen in social networks. Through Big Data your activity on the Social Media Online forum can be clearly determined. This is a blatant offense of your personal privacy. Further, simply think of the organization is sharing the information from the analysis to a few marketing agencies, this in turn produces more privacy issues.
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Now let us go over things from the data protection viewpoint. As usual. Big Data is kept in Cloud environment. It means the information is distributed over the network and kept somewhere in the Globe. Let me give an example. Let us state you live in UK and access some social media website and your information including your profile might be saved in a country in Asia or in some other country. If the social networks site decides to offer a few of the information including your information to a marketing agency, they will be in a position to acquire complete access to your profile, including your contact number.
If the marketing firm tracks the geo-location of the contact number, they will be in a position to tape your total motions right from the time you leave your home and move on to your pal’s home, when you leave your home for work and even your see to your enthusiast will likewise be tape-recorded. Equipped with this information, marketers may utilize things for their advantage according to the regular routine embraced by you every day and they can likewise locate you and promote their ventures any place you are. It plainly reveals that Data security is another significant concern with Big Data Analytics.
Several legislators and regulators around the world have voiced their concern about Big Data analytics. Organizations such as Consumer Guard dog have actually likewise raised apprehensions about privacy and data protection connected with Big Data Analytics. According to a report from Gartner, “Forty one percent of customers state they would be concerned about personal privacy if they were to use mobile location services so that they can receive more targeted deals through marketing or commitment programs”.