Big Data

Introduction Big data is a misunderstood concept, so the purpose of this article is to thoroughly discuss the technical concepts and composition of the relevant big data and how it is generated. Rapid innovation of information technology has brought the realization of big data. The concept of big data is complicated and there are various implications, but I will clarify its function. Big data refers to the concept of collecting large amounts of complicated data. This is difficult to record and process with most existing equipment and database technologies.

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.

Big data analysis, as its name suggests, can be inferred to be associated with large amounts of data Yes, big data may mean that it means, and this "big data" The analysis is big data analysis. Before going into the analysis section, let's explain what "big data" is. In today's world, almost everything we interact with is connected to the Internet. From the most obvious things such as computers, tablets and mobile phones to modern innovation from smart cars, smart televisions, smart refrigerators and even other innovations. What we use as a human creates all forms of data. These physical devices are also known as "the Internet of things" or the Internet of things. These IoTs create a lot of complex data that traditional data processing applications can not handle.