The Relationship Between Cloud Computing and Big Data

Big data and cloud computing are the focus of IT field. The obligation of big data is to process massive data. Cloud computing involves deep infrastructure.

Cloud computing refers to the virtualization of hardware resources. Big data is the efficient processing of massive data. Cloud computing is the daily computers and operating systems. It virtualizes numerous hardware resources. Then it allocates them for use. Big data is a database of massive data. We can judge from the development of big data. The current development of big data likes the traditional database experience.

The two like the positive and negative sides of a coin. A single computer must not rely solely on big data for processing. You must adopt a distributed architecture. It can mine massive data in a distributed way. It must rely on distributed processing. Distributed database and cloud storage technology of cloud computing.

Cloud computing is the premise of extracting big data. On the premise of massive data, if the cost of extracting, processing and utilizing the data exceeds the value of the data itself, it is equivalent to no value.

Cloud computing filters useless information. 90% of the data collected for the first time are useless data. It is necessary to filter out the available data. That can provide economic benefits for enterprises. We should filter out two categories from useless data. First, there is much temporary information stored. There is no need for investment. The second is the network data. This data is from the outside of the company's firewall. It is of low value. Cloud computing can provide on-demand expanded computing. It also

provide storage resources. You can use it to filter out useless data. The public cloud can be your best choice. It can process network data outside the firewall.

Cloud computing can analyze data. Uses it in the data analysis phase. You can input public cloud and hybrid cloud. In addition, there are some distributed processing software platforms. Just like Hadoop can process centralized data. Complete the data analysis. You can remove the original data provided. Private cloud can import the analysis. It inputs processing results into the company.

Cloud Computing Helps Enterprise Management Virtualization. The available information is guiding decision-making. Apply software as a service to the cloud platform. Transfer available information into existing systems. Help enterprises to strengthen management mode.

The cloud computing will be the bottom layer of computing resources. It will support the processing of upper big data. The big data will focus on real-time interactive. It includes query efficiency and analysis capability.