News.beritaokuterkini.com – Big Data is a term that describes data sets that are so large or complex that traditional data processing software cannot handle them. The challenges for data processing applications include storing, sharing, searching, transferring, updating, analyzing, and protecting data. The Big Data term often relates to the use of predictive analytics and consumer behavior analytics, as well as other advanced data analysis methods that extract value from data regardless of the size of the data set.
Nowadays, the data that are analyzed can reveal new connections to improve business models, fight crime, prevent diseases, and other current issues. Here, some people such as scientists, medical practitioners, business executives, and governments usually face challenges with large data sets. Those challenges include finance, internet search, and urban or business informatics. Moreover, the scalability limitations in the e-Science work, become the thing that scientists often face. In addition, that also includes meteorology, genomics, connectomics, biology, and environmental research.
Big Data involves data sets that exceed the normal capabilities of software tools to manage and process the data within a reasonable time. Big Data also requires different ways and technologies to implement its work. Moreover, it involves the integration of new forms to reveal insights from diverse, complex, and massive data sets.
In 2001, the META group described the challenges and opportunities of data growth in a three-dimensional model 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 diversity of data types and data sources. Until now, the definition of 3Vs or three-dimensional models is still widely used. In addition, some organizations have added a new V called veracity to describe the quality of data.
Characteristics of Big Data
Big Data can be explained by some typical characteristics. The first is the volume, which defines the amount of the generated and stored data. The size of data determines whether it should be considered as Big Data or not, and what value and insights it can provide. The next is variety, which is the types and sources of data. This helps people who analyze the data to use it effectively for the desired results. The velocity is the speed rate at which data are generated and processed to meet the demands and challenges in the growth and development sectors. The last is veracity, which is the quality of the collected data, which can vary and affect the accuracy of the analysis.
The applications of Big Data
Now, Big Data has rapidly increased the demand for information management. Some software companies like AG, IBM, EMS, SAP, HP, DELL, Oracle Corporation, and Microsoft spent $15 billion. That was done by software companies to focus on data management and data analysis. In 2010, the value of this industry had been growing 10 percent per year. Moreover, the value has also increased by more than $100 billion.
The government
The use and implementation of Big Data in government processes, has provided some efficiencies in terms of cost, innovation, and productivity. In some cases, data analysis requires some parts that are beneficial to help the government work together. In addition, the use of Big Data can create new and innovative processes that aim to improve the outcomes. For example, the Obama Administration announced the Big Data Research and Development initiative. By knowing the results, Big Data can be used to address the important issues that are faced by some government agencies.
The manufacturing
Now, improvements in Big Data in supply planning and product quality can provide the highest benefit for manufacturing. Besides, Big Data provides a transparent infrastructure in the manufacturing industry that can solve the problem of inconsistent performance and lack of availability. However, transparency requires a large amount of data and some advanced prediction tools, because it needs to transform the systematic data into useful information. The generated large data plays a role as the input of predictive tools and preventive strategies. From it, good things such as prediction and health management can be obtained if the use of Big Data is on the right track.
The Healthcare
Big Data helps healthcare improve by providing clinical risk and predictive analysis. Moreover, it also affects personalized medicine and prescriptive analytics. The Big Data also affects the internal and external reporting of patient data. In some cases, the fields of improvement are more inspirational than the actual action. Now, Big Data also supports the implementation of mobile health, electronic health, and wearable technologies. The other effect that Big Data gives is the amount of data will continually increase. In addition, the data of electronic health records, the data of imaging, the data on patient-generated, and other forms of data are included in the Big Data healthcare. Because of the Big Data use, higher need for health environments are needed to understand the data and the quality of information.
The Education
In this field, the education providers who are given data-driven insights can make a significant impact on school systems, students, and even curriculums. By analyzing Big Data, they can identify student problems, ensure students show satisfactory progress, and even implement a better system that can be used to evaluate and support the teachers and principals.
Media
If you want to know how the media uses Big Data, it is essential for you to understand some mechanisms and contexts that are used for the media process. Nick Couldry and Joseph Turow, have suggested that the media and advertising approach Big Data as the actionable rates of information. Moreover, this industry has emerged to use modern ways, to reach consumers through technologies that reach targeted people at the optimal times in the best locations. In addition, the main purpose of this field is to provide and deliver messages or content that are in line with what the consumer thinks. For instance, publishing environments have rapidly adjusted the advertisements and some content to attract consumers that have been gathered through various activities of analyzing new information.
Sports
In the sports field, Big Data is usually used to improve the training of a person. For some purposes, it also has the utility of understanding competitor’s skills or abilities. All of those methods are obtained by using sports sensors. Besides, predicting the winners in a game using 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 be known by reading data that are collected from the season. For example, the movie Moneyball shows us how Big Data is used to scout and identify undervalued players as well.
Science
About 150 million sensors are known to deliver 40 million times per second. Moreover, it is also known that 600 million collisions happen per second. And then, more than 99.95% of data of these flows produce approximately 100 collisions data per second. An important research question that can be asked about Big Data, is whether you need to look at the whole data to draw certain conclusions about the data. For example, there are about 600 million Facebook statuses that are made every day. Is it necessary to look at all of their statuses to determine what they talk about during the day? Is it necessary to look at all of the Facebook statuses?
