The chosen article explains about the quantified self in which the author explains how a person is engaged in the tracking for some kind of behavioral, physical and environmental change. There are various opportunities for the scientists who work with the big data in the idea to create a new model that would justify QS data gathering, integration and also helps in analysis and it also helps in defining a database that has an open access and helps in setting up some privacy standards which states how personal data is can be utilized.
Next gen QS applications can be used for various purposes like objective metrics and also to applying to some new kinds of pattern reorganization techniques. It can also help in tracking data from wearable electronics, biosensors, mobile phones, genomic data and also cloud based services. An interesting aspect for the QS is that it is both qualitative and quantitative phenomenon as this is a collection of various objective metrics data and also the data is subjective.
With the help of big data, data collection is possible from any source like computer systems, mobile phones and wearable technologies and all these data goes directly to the cloud where it gets stored and these data can be retrieved whenever any user wishes to. Through the QS activity, any individual can become more knowledgeable and calculable and with this, there is a strong relationship among the users and the data which tends to become the medium of reality.
For the following article, the author has tried to show the relationship of the data science with big data and how it drives the decision making. Data Science is something which completely deals with the data analysis part and collects data from every other organization. With this data science, Big Data can play a major role as with big data better decisions can be made because of the fact that it can process huge amount of data simultaneously from various systems at the same time.
Doing this can help the organization know about their current position and what they lack of. With this data science, analysis of data becomes real time easy. Another reason is the tendency that works side by side with of a professional. In order to excel in the field of data science, one must know the importance of other related concepts and also they should try to identify all the basic principles that make the data science if they want to work better. This will help the organization to make use of the big data and its power to make better decisions more effectively.
Knowing the full potential of the big data and its power can automatically help any company to stand alone in the market as they know what they are lacking of and it also gives an upper hand over their competitors.
The article that is chosen states that big data is really important for organizations who has very large amount of data like the social networks, web analytics and also e-commerce as they need to manage data which is too big to store in a traditional computer system and traditional database. This is important because as scale and demand increases for these organizations, so the complexity also increases. The advantage of using big data is that there are many machines that work parallel to each other so as to store and process data which in turn creates some problems to many developers.
With the help of big data, many organizations can get to know how to use the architecture that takes the advantage of hardware that are clustered and also it has some new tools that are specifically designed that will help in capturing as well as analyzing the data on a larger web scale. It also helps the organization by letting them build a data system which can be easily managed by any professional IT team. Due to its multi processing technology, it becomes quite useful for any company to store the data over the cloud and the data gets processed automatically from which the company can analyze.
The following article is chosen as it discusses how data mining can be done with big data. Data mining can be simply said as the process of discovering patterns when it comes to large data sets that involve intersection of artificial intelligence as well as machine learning and it includes database systems. The goal of data mining is to extract every bit of information from a particular data set and the ability to transform it into something which is more understandable for the future use. While performing a data mining task first the use needs to detect any anomaly and after that clustering, classification, regression and summarization takes place in the following order.
Data Mining works very closely to big data as in Big data, all the data are scattered and with the help of data mining, these unstructured data can be made into a structured data which can be used by the users for better understanding. Performing data mining on these data also ensures that it helps in virtualization which can help the company to know much better about their data. The following article helps in understanding the HACE theorem that characterizes the main feature of big data revolution and also gives a purpose for the big data processing model that also from the perspective of data mining.
The article has been chosen as the author states the security issues that Big Data is facing currently. Security starting from end user side extending to data owner and it also considers the data uploader point of view. There are various methods that are selected for assuring confidentiality, integrity and also the availability are discussed here. The above methods are divided into various segments which have been adopted from the traditional systems and methods which dedicatedly works for Big Data environment only and here the author has also presented the data life cycle which is based on the Big Data. The main purpose of putting this data life cycle is to point out the problems that it faces while the data is being transferred or sent to other places, when the data is stationary that is waiting for its turn to get transferred and also when the data is processed in the system and deleted when not in use.
The author has also presented the different techniques that are used to check for the security and authenticity of the data. The need for any third party certificates are also discussed that how they help manifest and how they help in securing the data. There is a need for external control so that if any security flaw is detected, it can be shut down from remote areas too.
The article has been chosen as it discusses about the security breaches that big data faced while it was in use and what were the problems. There is a rapid growth when it comes to data generation such as data collected from computer system, mobile phones and wearable technologies that includes sensors and smart devices which is leading on creating a huge database in terms of Big Data. Cloud computing also helps in enabling computer resources which includes the hardware, computing tools as well as storage devices which helps in providing with high efficiency and effectiveness. Cloud based technologies gives an upper hand when it comes to traditional platforms which is often considered as the potential hosts for big data. Still there is a major concern to many when it comes to privacy and security in cloud computing as there is a limited availability when it comes to user side control. The author discusses about the security threats and how to prevent them and how to secure the data and what applications are needed when it comes to securing the data.
There is a huge security issues with cloud computing as the technology is relatively new to many so many are not fully aware of its potential so there is higher chance that data might get stolen.
The following article has been chosen as it discusses about the major threats that big data faces due to its structure. The author states that as the data that gets stored in bid data are unstructured which becomes an easy target for the hackers to hack as all the data are scattered all over and there is no contiguous data form. As big data has become the preferred choice for many organizations to store their data, they are very likely to get attacked by some anonymous user who are prying into their data.
There are many shortcomings when it comes big data that is there is no validating when it comes to end point users, handling enormous amount of data that also on a very large scale and also there is a problem when it comes transactional data. The main problem lies when the same is shared with some third party application as there might be no authenticity about their security policies which can pose to a greater security threat. That is the reason many big companies or organization does not consider big data to be the safest form of storing data in spite of having many features, the main priority of many organization does not meet which is security.
The following article has been chosen as it discusses about the financial challenges that any company faces for the use of big data. The author states that a company can face various financial challenges when they use big data as their primary source for storing the data as if they install the cloud services locally then they had to invest a lot and they have to change their existing infrastructure and even if they share it from any service provider, they had to pay them on a timely basis too. If they want more security features, then also they need to pay more which in turn will the put the company into a financial pressure.
The following article has been chosen as it deals with Big Data as well as the components that are related to it like the Cloud computing and Data Science. These are the things that are currently the hot topic among all the organization but the problem is that there are many problems related to it and the first and foremost is the security issue that big data is facing now for a long time. Though big data helps in making smart decisions and also process everything quite fast but still there are some limitations to that. Cloud computing gathers all its information from various devices that are connected to the internet which makes it the perfect thing to steal data.
If anyone can get access to any of these, the person can get hands on all the information that is stored there. Data science is a something that consists of everything starting from the data being stored to data being transferred and deleted. Even if in the middle, there is any error then that might cause huge problem and can be a direct threat to the privacy of users.
The following article has been chosen as it displays the true nature of big data when it comes to supply chain management (SCM). Big Data analytics can be very useful when there is a need for supply chain management as with this, it can process various things at a time which can be really useful as it needs to deal with various factors and for this big data can be of great asset. Big data can also provide the organization with smart decision making which can in turn help the organization for making supply chain management. It is really important for any company to have up to date access and accurate data and also have access to meaningful data which will help the company to get a clear insight about the opportunities and challenges that they will get befitted from the use of Big Data.
The following article has been chosen as the author here is stating something that is out of the blue that is how big data can be useful when it comes to healthcare solutions. Big Data is famous for storing huge amount of data and healthcare is the perfect example as there are massive amount of data are present that can be stored here regarding health. It also helps in updating any new information like the discovery of a new virus or a major breakthrough in medical science. Everything can be recorder here and also can be accessed with ease. The updating of data and retrieval of data is really simple with this and every healthcare clinic can store their data in a single place so that it can even more easy to find.
The following article has been chosen as it deals with how big data can help in disaster management. As it is very well known that big data can process data simultaneously and can even give better decisions, it can be used by the meteorological department so that they can give all the information from the past and big data can process everything and can give a rough idea on the next big thing. As big data always searches for pattern, there is a pattern in everything and big data will search that pattern and can predict what is coming and can help in preventing something big from happening and can also prepare others so that they can take preventive measures.
1. Yes, it does because there are some particular phrases which cannot be removed and also the name of the authors cannot be changes.
2. Yes, because the ideas are directly from scholarly articles and there are many technical terms like the “wearable technologies” which cannot be changed.
3. Yes, it does.
4. There are some lines which matches with some research work and there were some phrases which are co-incidental.
5. Yes, like the example of “wearable technology”.
6. Yes, I have synthesized all of them where the author is saying something and I am commenting on that piece of work
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