The difference and connection between data center cloud computing and big data

Data centers are different from big data and cloud computing. Many people tend to confuse or think of the three as the same thing. In fact, the three are fundamentally different. The data center computer room is a complex set of facilities. Today, cloud computing is about to become a public resource of the information society, and the data center is the infrastructure that supports cloud computing services. So since cloud computing turned out, all information technology has begun to surround. It turns, cloud computing exists like a god.
For the data center, the scientific explanation is that the Data Center is a global device-specific device network that is used to transfer, accelerate, display, calculate, and store data information on the Internet network infrastructure. Most of the electronic components in the data center are Operated by a low voltage DC power supply. The physical issues facing the data center are the servers themselves and the cables used to connect them to other application environments.
 
Differences and connections between data centers, cloud computing, and big data
(1) The difference between big data and cloud computing: Big data is an 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 technology solution that uses this technology to address the on-demand build of a range of IT infrastructures, such as compute, storage, and databases. The two are not the same level.
(2) The relationship between big data and cloud computing So the difference between big data and cloud computing is said. There is a very close relationship between the two. Big data is a very important application scenario for cloud computing, while cloud computing is big. Both data processing and data mining provide the most ideal technical solution.
Big data analytics is often associated with cloud computing because real-time large dataset analysis requires a framework like MapReduce to distribute work to dozens, hundreds, or even thousands of computers. Big data requires special techniques to effectively Handle a large amount of data that is tolerated over time. Technologies for big data, including massively parallel processing (MPP) databases, data mining 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 PB level or above, generally used for mining, analysis, and doing some smart business sectors.
Big data is bound to be related to cloud computing. The data center is the foundation of cloud computing. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be performed by a single computer. Processing must use a distributed architecture. 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.
The data center is the infrastructure of cloud computing. The server resource allocation, bandwidth allocation, service support capability, traffic protection and cleaning capability that we usually talk about are based on the size of the data center, and the capacity of the bandwidth. The data center is distributed differently. The core city radiates to the 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 in the data. An idle resource utilization from basic services to value-added services provided on a central basis.
But what is constant is that 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.

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