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

From a theoretical point of view, big data and cloud computing belong to different levels of things. Cloud computing studies computing problems, big data studies huge data processing problems, and huge data processing still belongs to the research scope of computing problems. Therefore, from this point of view, big data is a subfield of cloud computing. From an application point of view, big data is one of the application cases of cloud computing. Cloud computing is one of big data's implementation tools.

Big data and cloud computing are not only different but also related, but in reality, because big data often uses cloud computing technology in order to obtain good efficiency and quality, big data and cloud computing often appear in front of people at the same time, resulting in people's confusion.

Big data technology is a new generation of technology and framework, which extracts value from a variety of ultra-large-scale data with low cost and rapid acquisition, processing and analysis technology. The continuous emergence and development of big data technology makes it easier, cheaper and faster for us to deal with large amounts of data, become a good assistant to use data, and even change the business model of many industries.

Big data (big data) is such a data set: the amount of data is growing so fast that it is impossible to collect, process, store and calculate data within a certain period of time with conventional data tools. Cloud computing is an Internet-based supercomputing model in which thousands of computers and servers are connected to form a computer cloud in a remote data center. As a result, cloud computing can even allow you to experience 10 trillion computing power per second, with such powerful computing power to simulate nuclear explosions, predict climate change and market trends. Users access the data center through computers, notebooks, mobile phones and other ways to calculate according to their own needs.

The employment prospect of cloud computing, in a sense, can also be understood as the service that cloud computing provides for us, there is a certain inevitability, that is to say, what are the advantages of cloud computing for society and cloud computing users, and at the same time, the advantage of cloud computing is the employment advantage of cloud computing.

Technically, the relationship between big data and cloud computing is as inseparable as the pros and cons of a coin. Big data must not be able to process with a single computer and must adopt a distributed architecture. It is characterized by distributed data mining for massive data. But it must rely on the distributed processing, distributed database, cloud storage and virtualization technology of cloud computing.

With the advent of the cloud era, big data (Big data) has also attracted more and more attention. According to the team of analysts, big data is often used to describe the large amount of unstructured and semi-structured data created by a company that takes too much time and money to download to a relational database for analysis. Big data analysis is often associated with cloud computing because real-time large dataset analysis requires a framework like MapReduce to assign work to dozens, hundreds or even thousands of computers.

Big data needs special techniques to effectively handle large amounts of tolerated data over a period of time. The technologies applicable to big data include massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet and scalable storage systems. Big data and cloud computing are needed for the future development trend, and the function is powerful enough, do you think the prospect of such an industry is good? Of course it's good, so paying close attention to study is the right start.

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