Data Center: Data Center is a global network of specific equipment that is used to transmit, accelerate, display, calculate, and store data information on the Internet network infrastructure. Most of the electronic components of the data center are driven by low-voltage DC power supplies. In progress. The physical problem facing the data center is the servers themselves and the cables used to connect these servers to other application environments.
Cloud Computing: Cloud Computing (English: CloudComputing) is an Internet-based computing method. In this way, shared software and hardware resources and information can be provided to computers and other devices on demand. Typical cloud computing providers often provide general network business applications, which can be accessed through software such as a browser or other Web services, and the software and data are stored on the server. Cloud computing services usually provide universal online business applications accessed through a browser, and software and data can be stored in a data center.
In a narrow sense, cloud computing refers to the delivery and use mode of IT infrastructure, and refers to obtaining the required resources through the network in an on-demand and easily scalable manner;
In a broad sense, cloud computing refers to the delivery and use mode of services, and refers to obtaining the required services through the network in an on-demand and easily scalable manner. This kind of service can be related to IT and software, the Internet, or other services, which means that computing power can also be used as a commodity to circulate through the Internet. There are many sayings about the definition of cloud computing, "cloud computing is to provide scalable and cheap distributed computing capabilities through the network."
Big Data: Big Data, also known as huge data, refers to the massive, high growth rate, and diversified information assets that require new processing models to have stronger decision-making power, insight, and process optimization capabilities. "Data" is a massive, high-growth, and diversified information asset that requires new processing models to have stronger decision-making power, insight and discovery, and process optimization capabilities.
The strategic significance of big data technology is not to master huge data information, but to professionally process these meaningful data. In other words, if big data is compared to an industry, then the key to profitability of this industry lies in improving the "processing capability" of data and realizing the "value-added" of data through "processing".
The big data of the mobile Internet mainly comes from four aspects:
(1) Content data: After the Web2.0 era, everyone has become a media, producing content on the Internet, including text, pictures, videos, and so on.
(2) E-commerce data: With the development of e-commerce, online transactions have accounted for most of the entire retail industry. Each transaction contains information about the buyer, seller, and the entire value chain behind the product.
(3) Social data: With mobile social networking becoming the most important way of social interaction, social networking is not only the role of communication between people, but social data includes people’s preferences, life trajectories, spending power, value orientation, etc. Important user profile information.
(4) IoT data: IoT requirements and solutions have emerged in all walks of life, and huge amounts of monitoring data are being generated at all times. So much data contains a lot of valuable information. This information is not presented in an intuitive form. There needs to be a way to process this data. Whether it is calculation, storage or communication, it is very high. Requirements, cloud computing related technology is a solution to the calculation, storage and communication of huge amounts of data.
The difference and connection between data center, cloud computing, and big data
(1) The conceptual difference between big data and cloud computing: big data refers to an application scenario under the background of the mobile Internet and the Internet of Things. The huge amount of data generated by various applications needs to be processed and analyzed to mine valuable information; Cloud computing refers to a technical solution, that is, using this technology can solve the needs of on-demand construction of a series of IT infrastructures such as computing, storage, and database. The two are not at the same level.
(2) The relationship between big data and cloud computing. The above mentioned the difference between big data and cloud computing. There is a very close connection between the two. Big data is a very important application scenario for cloud computing, while cloud computing is a big one. Both data processing and data mining provide the best technical solutions.
Big data analysis is often associated with cloud computing, because real-time analysis of large data sets requires a framework like MapReduce to distribute work to tens, hundreds, or even thousands of computers. Big data requires special techniques to effectively Process a large amount of data within a tolerable elapsed time. Technologies applicable to big data, including massively parallel processing (MPP) databases, data mining power grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. Big data refers to massive amounts of data. Daily processing is above PB level, generally used for mining, analysis, and doing some intelligent business sectors.
Big data must be related to cloud computing (big data and cloud computing are not necessarily related, you want to make big data, you can use cloud computing, or not), data center is the foundation of cloud computing, from a technical point of view, big data and cloud The relationship between computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and a distributed architecture must be adopted. Its characteristic lies in the distributed data mining of massive data, but it must rely on the distributed processing of cloud computing, distributed database and cloud storage, and virtualization technology. With the advent of the cloud era, big data is also attractive More and more attention.
The data center is the infrastructure of cloud computing. The server resource allocation, bandwidth allocation, business support capabilities, traffic protection and cleaning capabilities we usually talk about are all based on the size of the data center, and its bandwidth capacity. The data centers are distributed in different locations. The core cities radiate to surrounding cities to provide basic support. They generally meet the national first-level computer room standards and have extremely strong disaster tolerance capabilities. Most manufacturers will choose two places, three centers and other methods to set up computer rooms. Cloud computing is based on data A kind of idle resource utilization from basic services to value-added services provided on the basis of the center.
But one thing that remains unchanged is that no matter how cloud computing changes, it will inevitably need to rely on the data center to achieve the landing. It can be said that the data center is the root of cloud computing, and cloud computing is the “leaf” of the data center. Cloud computing promotes the development of the data center through “photosynthesis”, and the growth of the data center provides a solid foundation for the development of cloud computing. The three play the role of interdependence and mutual promotion.