With the development of a self-service analysis program, all the administrators can easily access information, so you can operate this information effectively. Charts, infographic graphics, and dashboards are provided to information technology experts. The advantage of the following applications is the development of data analysis methods and functions. Big data not only uses numbers in the database, it is allowed to use text, audio, video files. For big data, you always have access to available data, but it is not available to end users.
This design has advantages and disadvantages. Big data collected by applications can be an important resource for environmental researchers. The ability to check previous water quality enhances awareness of environmental protection. However, the biggest disadvantage is reliability. Since anyone can access the system, it does not guarantee the reliability of the data. If 30 people test the same river on the same day, the application will have 30 answers. In order to improve the reliability of the data, you can add new functions similar to the VIP system to the application. Users approved as VIPs are more reliable than regular users.
In order to cover the meaning and possibility of this relationship, we need to understand what big data is. The term "big data" refers to data collected from various sources for use in a wide range of areas such as healthcare, banking, government agencies, marketing, entertainment, and various types and types of enterprises and companies It refers to a set. The list is ongoing. Each of us is a data provider that provides data when we work in everyday life. Many of us use social media such as Facebook, Google and other services, but I will use GPS on smartphones, use various applications, use shopping cards. Or use to change behavior patterns. Companies such as Facebook and Google mentioned above use technology to extract value from data and manipulate data from data.
Data economy has made data the world's most competitive superior resource. Data is generated for each digital process or social media exchange. Big data reaches multiple sources from amazing quantities, in very fast and in various ways. Deriving value from a huge amount of data is the biggest challenge faced by today's organization. In that case, big data is usually defined by 4 V, volume, speed, variety, and value.