What is the difference between big data cloud computing and data centers?

Many people confuse data centers, cloud computing data centers, and big data. I think these three are the same products. In fact, there are significant differences. The data center computer room is a complex set of facilities. Today, cloud computing is about to become an information society. Public resources, while the data center is the infrastructure that supports cloud computing services, so since the emergence of cloud computing, many information technologies have begun to turn around it, cloud computing exists like a god, look at the data center, What is the difference and connection between cloud computing and big data?

First, big data

1. Big Data, also known as massive data, refers to massive, high-growth, and diverse information assets that require new processing models to have greater decision-making, insight, and process optimization capabilities. It is a massive, high-growth and diversified information asset that requires a new processing model to have greater decision-making, insight and process optimization capabilities.

2. The strategic significance of big data technology is not to master huge data information, but to professionalize these meaningful data. In other words, if big data is likened to an industry, then the key to profitability in this industry is to increase the “processing power” of the data and “add value” of the data through “processing”.

3. The big data of mobile internet mainly comes from four aspects.

(1), content data:

After the Web 2.0 era, everyone became a media, producing content on the web, including text, images, videos, and so on.

(2) E-commerce data:

With the development of e-commerce, online transaction volume has occupied most of the entire retail transaction. Each transaction contains information about the buyer, the seller, and the entire value chain behind the item.

(3), social data:

With mobile socialization becoming the main social way, social interaction is not only about interaction between people. Social data includes various important user portrait information such as people's preferences, life trajectories, spending power, and value orientation.

(4), Internet of Things data:

The demand and solutions for the Internet of Things have emerged in all walks of life, generating huge amounts of monitoring data every moment. So much data contains a lot of valuable information, which is not presented in an intuitive form. There is a way to process this data, whether it is computing, storage or communication. Requirements, the related technology of cloud computing is a solution for the calculation, storage and communication of huge amounts of data.

Second, cloud computing

Cloud computing is an Internet-based computing method in which shared hardware and software resources and information can be provided to computers and other devices as needed. Typical cloud computing providers often provide common network business applications that can be accessed through software such as browsers or other web services, while software and data are stored on the server. Cloud computing services typically provide a common online business application accessed through a browser, and software and data can be stored in the data center.

Third, the data center

A data center is a globally coordinated device-specific network that transmits, accelerates, displays, calculates, and stores data on the Internet infrastructure. Most of the data center's electronic components are driven by low-voltage DC power. The physical issues facing the data center are the servers themselves and the cables used to connect them to other application environments.

The connection between the four and the three:

1. The conceptual difference between big data and cloud computing:

Big data is about a kind of application scenario in the context of mobile Internet and Internet of Things. The huge amount of data generated by various applications needs to be processed and analyzed to mine valuable information. Cloud computing is a technical solution. This technology can be used to solve the on-demand build requirements of a range of IT infrastructures such as computing, storage, and databases. The two are not the same level.

2, the relationship between big data and cloud computing, the above describes the difference between big data and cloud computing, there is a very close relationship between the two, big data is a very important application scenario of cloud computing, while cloud computing is big data Both processing and data mining provide the ideal technical solution.

3, big data must be related to cloud computing (big data and cloud computing are not necessarily linked, you have to make big data, you can use cloud computing, you can not use), the data center is the basis of cloud computing, from a technical point of view, big data The relationship with cloud computing is as inseparable as the front and back of a coin. Big data must not be processed by a single computer, and a distributed architecture must be used. It is characterized by distributed data mining for massive data, but it must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology, with the advent of the cloud era, Big Data also attracts More and more attention.

4, the data center is the infrastructure of cloud computing, we usually talk about server resource allocation, bandwidth allocation, business support capabilities, traffic protection and cleaning capabilities, are based on the size of the data center, and its bandwidth capacity, data center distribution In different core cities, it radiates to surrounding cities and provides basic support. It generally conforms to the national computer room level standard and has strong disaster tolerance. Most manufacturers will choose the two centers and other three ways to set up the computer room. The cloud computing is An idle resource utilization from basic services to value-added services provided on the basis of data centers.

5, but one thing remains the same, no matter how cloud computing changes, it is necessary to rely on the data center to achieve landing. It can be said that the data center is the root of cloud computing. Cloud computing is the "leaf" of the data center. Cloud computing promotes the development of data centers through "photosynthesis", and the growth of the data center provides a solid foundation for the development of cloud computing. The three play a role of interdependence and mutual promotion.