Shulou(Shulou.com)06/03 Report--

"data" is defined as "the number, characters, or symbols performed by a computer that can be stored and transmitted in the form of electrical signals and recorded on magnetic, optical or mechanical recording media" and will be displayed as a quick Google search.

Big data's concept is not complex; as the name implies, "big data" means that a large amount of data is too large to be processed and analyzed by traditional tools, and the data cannot be stored or managed effectively. Because the amount of data is growing exponentially-more than 500 TB of data is uploaded to Face book alone, within a day-it represents the real problem with analysis.

However, big data's analysis has great potential. Proper management and research of these data can help companies make better decisions based on usage statistics and user interests, thus helping them achieve growth. According to the feedback received from big data's analysis opportunity, some companies have even proposed new products and services.

Classification is essential for the study of any discipline. Therefore, big data is widely divided into three main types, namely-

1. Structured data (http://www.4gc3.com)

Structured data is used to refer to data that is already stored in the database in an orderly manner. It accounts for about 20% of the total data available and is most used in programming and computer-related activities.

There are two sources of structured data machines and humans. All data received from sensors, web logs and financial systems is classified as machine-generated data. These include medical devices, GPS data, usage statistics captured by servers and applications, and large amounts of data that are usually moved through trading platforms, to name just a few.

The artificially generated structured data mainly includes all the data that a human enters into the computer, such as his name and other personal details. When a person clicks on a link on the Internet, or even moves in a game, data is created-companies can use it to determine their customer behavior and make appropriate decisions and modifications.

two。 Unstructured data (http://www.4gc3.com)

Although structured data resides in traditional row-and-row databases, unstructured data is the opposite-they have no clear format in storage. The rest of the data created accounts for about 80 per cent of the total unstructured big data account. Most of the data that a person encounters falls into this category-until recently, there was nothing to do but storage or manual analysis.

Unstructured data is also classified as machine-generated or man-made according to its source. The data generated by the machine can explain all satellite images, scientific data from various experiments and radar data captured by various technologies.

Artificially generated unstructured data is all over the Internet because it includes social media data, mobile data and website content. This means that the pictures we upload to Facebook or Instagram, the videos we watch on YouTube and even the text messages we send can lead to a huge pile of unstructured data.

3. Semi-structured data. (http://www.4x6q.com)

The line between unstructured and semi-structured data has always been unclear because most semi-structured data appears to be unstructured. Semi-structured data contains information that does not include structured data in traditional database formats, but contains organizational attributes that make it easier to handle. For example, NoSQL documents are considered semi-structured because they contain keywords that can be used to easily process documents.

Big data analysis has been found to have clear business value because its analysis and processing can help companies achieve cost reduction and significant growth. Therefore, you do not have to wait too long to take full advantage of the potential of this excellent opportunity.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.