The cloud computing sector will continue to grow, and the growth rate will slow

Cloud computing has receded for the time being, and the latest survey by Gartner, a renowned research institute, shows that the cloud computing sector will keep growing, and that growth will slow, after all, cloud computing has been a lot of trouble. Now, a new concept that is not clearly defined as cloud computing is increasingly popular-"big data". And large data has begun to change the IT landscape, according to Gartner data, only 2012 years of large data to drive the global 28 billion of dollars in IT spending, 2013 led to the scale of IT spending is expected to further increase to 34 billion U.S. dollars. And look at the current IT giants are shot to extend the entire industry chain, there are few enterprises in the industry chain, but now there is such a company focused on large data, let us go near the Taiwan Jingcheng Group Cloud Center, approached the big Data division, namely ETU ("know intention" company) in charge of Mr. Courio.

Looking back at the front of the big data?

The origins of large data theory must be the United States, but also the United States, not because of the advanced technology in the United States, but because they have a large number of users of the Internet service base. Social networking, Internet of Things, E-commerce started early, mobile device popularity high "congenital" factors also make their data no longer "pure", and the simple data format can not meet these business needs. Of the three types of structured, semi-structured, and unstructured data, structured data the current traditional RDBMS technology (relational database management system) is mature compared to other technologies and has obvious performance advantages, but for the other two forms of data, the current solution is still growing or even just beginning.

For the emergence of large data, it can be said that there is no doubt thanks to internet companies, but in fact, not only internet companies to use large data, the current banks, insurance companies, telecommunications operators, some manufacturing sector enterprises, medical industry, etc. are real and direct users of large data. Now the Internet, E-commerce, FMCG Enterprises because of the fastest growth in data volume, and make their demand to walk in the forefront of large data. Mr Courio that these companies have more or less their own solutions and technologies, and from the American experience, one of the major processing technologies Hadoop, though not the only solution, has become one of the main solutions, especially since 2006 when it was open source, nearly 6, 7 years of development is becoming more and more stable.

Solve large data misunderstanding ETU put forward the integrated solution

Although some people say that big data and cloud computing are two distinct concepts, it is undeniable that there are many intersections, even "big data is inseparable from the cloud." From the hardware layer, the distributed storage and the flexible support of virtual Server are all important features of cloud computing, but it is also because so many people have produced some mistaken ideas.

• Myth One, "Big data is Storage", a new storage technology.

In fact, this "misunderstanding" is only one-sided understanding, mainly in the storage of large data is the basis, and more importantly, processing work, after all, storage is to prepare for further processing. So from this point of view, the general people's understanding is somewhat wrong. So keep in mind that large data must be stored and computed at the same time.

Misunderstanding two, industry audience small, not widely applicable.

Although the large data originated from the Internet, because of the existence of heterogeneous data, many traditional industries actually need more urgent. such as graphics, image recognition and other fields, automatic control field many scenarios require large data to help.

Of course, some people will think that structured data processing is relatively easy, not the concept of "big data", or the large number of data processing may only BI, to provide business intelligence. Mr Courio that, in addition to BI, there are times when you need to search for text or graphics, as well as from the operators and financial insurance companies that improve the user experience. In the view of Mr. Jiang, a hierarchical description of the data is presented:

Top layer: Hot data, this is the heat, it is the highest real-time demand, in a few seconds after the query will be the results;

Middle: Warm Data, a bit of temperature, it needs to query at any time, it does not need a few seconds to deal with the results;

Bottom: Cold data, the biggest feature of this type of information is that it looks like I'm not going to use it, just get up.

And in this three-tier data, the easiest thing to do is cold data at the bottom, which can be deposited on disk as long as conditions permit. The most direct starting point is the top layer, a large number of data mining, data warehousing cases and solutions to make the relationship based hot data easy to apply. Of course, the completion of all three-tier data processing has already illustrated the company has a set of data lifecycle management. But the point is going back to the data itself, what does all this data do? How valuable is it to keep this data? Maybe the problem is how to find out how different you are from your peers, how to offer different services to your competitors, and how to make the user experience the starting point with your peers. And now the market to see that although many enterprises have this demand, but most of the big data solutions are in the form of projects, not a product or the introduction of a standard product for an industry, which makes it difficult for more users to speak clearly of their own needs, but also to the technical implementation itself has created a huge obstacle, Mr Courio that this situation has spawned one of the reasons why we have launched the Big Data all-in-one ETU appliance. ETU in fact also hope that this way will be soft/hardware Integrated mode of delivery to the user, in the form of products to promote the large data market.

(Responsible editor: The good of the Legacy)