Big Data and Cloud Computing from a theoretical point of view, the two belong to different levels of things, Cloud Computing research is the problem of computing, Big Data research is the problem of huge data processing, and huge data processing still belongs to the scope of the research of computing problems, so from this point of view, Big Data is a sub-field of the Cloud Computing, and from the point of view of the application of the application of Big Data is one of the application cases of the Cloud Computing. Cloud computing is one of the tools for the realization of big data.
Big Data and Cloud Computing are both different and related, but in reality, since Cloud Computing technology is often used in Big Data processing in order to obtain good efficiency and quality, Big Data and Cloud Computing then often appear in front of people's eyes at the same time, thus causing confusion.
Big data technology is a new generation of technology and architecture that extracts value from a wide range of super-sized data at a lower cost and with fast collection, processing and analysis techniques. Big Data technologies continue to emerge and evolve, making it easier, cheaper and faster for us to handle massive amounts of data, becoming a great aid in utilizing data, and even changing the business models of many industries.
Big data (bigdata) is such a collection of data: a collection of data whose volume grows so fast that it cannot be collected, processed, stored, and computed within a certain period of time using conventional data tools. Cloud computing is an Internet-based supercomputing model where thousands of computers and servers are connected into a cloud of computers in a remote data center. As a result, cloud computing can even allow you to experience computing power of 10 trillion times per second, with such a powerful computing power you can simulate nuclear explosions, predict climate change and market trends. Users access the data center through computers, laptops, cell phones, etc., and perform calculations according to their needs.
The employment future of cloud computing, in a sense, can also be understood as cloud computing for us, there is a certain inevitability, that is to say, what are the advantages of cloud computing for the community, cloud computing users, but also at the same time can be understood as, the advantages of cloud computing is the advantages of employment in cloud computing.
From a technical point of view, the relationship between big data and cloud computing is as inextricably linked as the positive and negative sides of a coin. Inevitably, big data cannot be processed by a single computer, but must be distributed architecture. It is characterized by distributed data mining of massive amounts of data. But it must rely on cloud computing's distributed processing, distributed databases and cloud storage, and virtualization technologies.
With the advent of the cloud era, big data (Bigdata) is also attracting more and more attention. According to a team of analysts, Bigdata is often used to describe a company that creates large amounts of unstructured and semi-structured data that would take too much time and money to download to a relational database for analysis. Big data analytics is often associated with cloud computing because real-time analysis of large datasets requires a framework like MapReduce to distribute work to dozens, hundreds or even thousands of computers.
Big data requires special techniques to efficiently process large amounts of data over tolerable elapsed time. Technologies that are 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 is the future development trend required, and powerful enough, such an industry you say the prospect is not good? Of course it is good ah, so grasp the learning is the right start.