First to introduce here small make up what is cloud computing:
The national institute of standards and technology (NIST) definition: cloud computing is a kind of pay by usage pattern, this pattern provides available, convenient, on-demand network access, enter the configurable computing resources Shared pool (resources including network, servers, storage, applications, services), these resources can be quick to provide, just in the management of the very few and or little interaction with service providers,
Cloud computing (cloudcomputing) is the increase of the related services based on Internet, use and delivery mode, usually involves using the Internet to provide dynamic easy extension and often virtualized resources,
Simply put, cloud computing is the virtualization of hardware resources, and big data is a huge amounts of data efficiently handle, although judging from this explanation is not entirely appropriate, but it can help for the two names don't quite understand quickly understand the difference, of course, if you explain more image, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resource is allocated in use after virtualization,
In xuanzhou zone can refer to their personal preferences and how easy is it to choose (big data cloud computing is somewhat complex)
Big data: the famous definition given by the McKinsey global institute is: a large scale to the acquisition, storage, management, analysis of well beyond the traditional scope of data collection, database software tools with mass of data size, fast data transfer, a variety of data types, and value of four big features of low density,
Gartner is defined as "big data" is given the need to deal with the new model can more decision-making, insight found force and the process optimization ability to adapt to mass, high rate of growth and diversification of information assets,
Big data (big data), refers to in a certain time range with conventional software tools to capture, management and processing of data collection, the need to deal with the new model can more decision-making, insight found mass force and the process optimization ability, high rate of growth and diversification of information assets,
Strategic significance lies not in the mastery of the technology to big data huge data information, but in the meaning of these contain specialized processing data, in other words, if compare big data to an industry, so the key to profit, this industry is to improve the data "processing capacity", by "processing" data "value-added",
At this era of big data, big data and cloud computing, artificial intelligence, Internet of things are important, is very promising! However, you can see the demand of big data will be bigger, so big data talent gap compared with several other industry bigger!