Big Data is a name which is given for data sets which are huge or complex. Because of it, the process of traditional data makes the application software is insufficient to overcome that problem.
The challenges for the data processing application are analyzing, storaging, sharing, searching, transferring, updating data and setting information privacy.
The Big Data term itself, often relates to the implementation of the predictive analysis and consumer behavior analysis. Moreover, it also relates to the certain analysis methods of advanced data which remove the values of data to the specific size of the data set.
In nowadays, the data which have been analyzed are able to discover new connections to the place of business style, combat crime, avoid disease, and other things which exist recently. Here, some people such as scientists, medical practitioners, business executives, and governments usually encounter the obstacles with huge data sets.
Those difficulties include finance, internet search, and urban or business information. Besides, the limitations scale in the e-Science work, becomes the thing which scientists often encounter. In addition, that likewise includes meteorology, genomics, connectomics, biology, and the research of environmental.
Big Data includes the data sets which exceed the normal ability. It also generally uses software tool to manage and to process the data within acceptable elapsed time.
Big Data also needs some ways and technologies in implementing its work. Moreover, it comes with the integration new forms to expose the sight from datasets which are distinct, complex, and massive as well.
In 2001, META group described the challenges of data growth and the opportunities into a three-dimensional thing which is called three Vs. The volume, which is the scale of data, the velocity, which is the speed of data in and out, and the variety, which is the variation of data types and data sources.
Until now, the definition of 3Vs or three-dimensional thing is still globally used. In addition, the new V which is called veracity is given by many organizations to give more explanation.
Characteristics of Big Data
Big Data can be elaborated by some typical characteristics. The first is the volume, it defines the amount of the generated data and the stored data. The scale of data, decides some values and promising sight either it should be considered as Big Data or not. The next is variety, which is the types and the world of data.
This thing assists people who will analyze the data to be effectively utilized for the insight result. The velocity, the speed rate at generating data and processed data which encounter the demands and lie in the sector of growth and development. And the last is veracity, which is the quality of gathered data can be different and affect accurate analysis.
The applications of Big Data us
Now, Big Data rapidly increase the request of information management. Some software companies like AG, IBM, EMS, SAP, HP, DELL, Oracle Corporation, and Microsoft spent $15 billion.
That matter is done by software companies for concentrating on data management and data analysis. In 2010, the worth of this industry had been growing 10 percent per year. Moreover, the value has also increased more than $100 billion in worth.
The utilization and implementation of Big Data in governmental processes, has provided some efficiencies. Those efficiencies involve the terms of price, innovation, and productivity. In some cases, data analysis sometimes needs some parts which are beneficial to help government work together.
In addition, the utilization of Big Data can make a fresh and innovative process which is aimed to elevate the outcome. For example, the Obama Administration exposed the research of Big Data and the development initiative. By knowing the result, Big Data can be utilized to report the important issues which are faced by some government agencies.
Now, improvements of Big Data in the supply planning and the product quality can give the highest benefit for manufacturing. Besides, Big Data gives a transparency infrastructure in the manufacturing industry that is able to overcome the problem of inconsistent performance and lack of availability.
However, the transparency needs an immense quantity of data and some advanced prediction tools. Because, it should be conducted for a systematic data into beneficial information.
The generated huge data has a role as the input of predictive tool and preventive strategy. Of it, the good things such as the prediction and the health management can be got if the use of Big Data is on the right track.
Big Data helps the healthcare improve by giving clinical risk and predictive analysis. Moreover, it also affects personalized medicine and prescriptive analytics.
The Big Data also gives effects in the internal and external report of patient data. In some case, the fields of improvement are inspirational more than the actual act. Now, Big Data also helps the implementation of mobile-Health, electronic-Health, and usable technologies.
The other effect that Big Data gives is the amount of data will continually increase. In addition, the data of electronic-Health record, the data of imaging, the data on patient generated, and the other forms of data are included in the Big Data health care.
Because of the Big Data utilization, the higher need for health environments is really needed to know the data and the quality of information.
In this field, the education givers which are given data-driven insight, can make a significant effect on school systems. Moreover, the students and even curriculums can be evaluated to make the better system.
By examining Big Data, they have the capability to identify the student problem, ensure students show satisfied progress, and even implement a better system which can be applied to evaluate and support the teachers and principals.
If you want to acknowledge how can the media utilizes Big Data, it is essential for you to give some mechanism contexts which are used for the process of media.
Nick Couldry and Joseph Turow, have suggested that the media and advertising come near to Big Data as the actionable rates of information.
Moreover, this industry has appeared to use modern way, tap the consumers through the technologies which reach pointed people at the prime times in best areas. In addition, the main purpose of this field is to provide and deliver the messages or contents which are in line with what the consumer thinks.
For instance, publishing environments have rapidly adjusted the advertisements and some contents to attract consumers which have been gathered through various activities of examining new information.
In the sports field, Big Data usually is utilized to improve the training of a person. In some purposes, it also has the utility to understand competitor’s skill or ability.
All of those methods, are obtained by using sport sensors. Besides, predicting the victors in a game utilizing the analytics of Big Data is possible as well.
Moreover, with Big Data, the next performance of players can be predicted too. Sometimes, the player’s value and price can even known by reading data which are collected from the season.
For example, the movie MoneyBall shows us how can Big Data is utilized to stalk and recognize undervalued players as well.
About 150 million sensors are known to deliver 40 million times per second. Moreover, it is also known that 600 million collisions are happened per second. And then, more than 99,95% data of these flows make approximately 100 collisions data per second.
An important research conclusion which can be questioned about Big Data, is you need to take a look at the full data to take certain conclusions about the data.
For example, there are about 600 million Facebook statuses are made every day. Is it necessary to look at all of their statuses to determine what they discuss during the day? Is it necessary to look at all of the Facebook statuses?