Big data torrent: rushing out of an oasis or drowning a party of sacred soil

2012, we saw a lot of cloud computing application deployment. Many of the applications and services that stay in the conceptual phase have really been deployed on the ground in the 2012. The big data has been "overtaken by the corners" as a result of development. In the context of cloud computing and BYOD, social media, mobile interconnection and other applications to enhance the trend, the big data will be more profound impact in 2013, this effect is like a reckless torrent may rush out of an oasis, may also drown one side of the Holy Land.

A recent report by IDC, the US market research firm, shows that the global market for data technology and services will maintain a 31.7%-year compound growth rate in the next few years, with the growth of the big data market at 7 times times that of the entire information and communications technology sector, which is expected to reach $23.8 billion trillion in 2016.

From these data we can see that the development of large data will be more and more quickly, along with the increasingly sophisticated IT technology and cloud computing platform for large-scale applications, large data This "cake" will become larger.

In fact, the big data is not the two years to appear, it is a quantitative accumulation of the formation of qualitative change. This qualitative change in the short term will give people a difficult and anxious mood. But the fact is, the big data has gone from the back to the front without warning:

On the one hand, large data is no longer the exclusive of scientific research and High-tech companies, has become a support platform for enterprise decision-making, on the other hand, large data will rely on cloud computing environment, combined with BI, DW more high value-added service forms. The former, people can take advantage of social media, mobile interconnection and other emerging trends, from the massive, messy data to extract valuable information, and draw conclusions; the latter, people can obtain large data service support from the platform of large data integration machine, data Warehouse, business intelligence bi and so on.

In the enterprise-level market, the overall impact of corporate mobility, BYOD and it consumption changes is taking place. The adoption of these new trends and technologies will undoubtedly bring more flexibility and efficiency to the staff. These changes are bound to further challenge the management of data. Therefore, in the context of large data, not only have more value mining space and potential, but also face the security, management and effectiveness challenges.

Blossom: Big Data into 2013 new highlights

If 2012 is the year of application of cloud computing, then 2012 is the gestation period for big data. If cloud computing is a platform that has cheered many businesses and service providers in the 2012, the big data is that the treasure in 2013 makes everyone smarter and more efficient.

The advent of the big data age will allow businesses to rethink the value of big data analysis. The U.S. presidential election, for example, will help predict who will be elected by mass voting and the will of voters. Since data is ubiquitous and all walks of life need to produce and digest a wide variety of data, the value of data mining and analysis in the phenomenon of large data becomes more important.

In addition, many based on positioning information, RFID tag information, also allows the entity attributes of the objects into the people's analysis and monitoring vision, and help people to make early analysis and prediction.

Continued economic growth in 2013, particularly in the Asia-Pacific region, will enable the emerging market to further enhance its business viability and efficiency with the support of technical forces such as large data.

As a previous data show, the world's big data technology and services market will continue to grow at a high rate in the next few years, it investment will also achieve an average annual growth of 5%, by 2016 will be expected to exceed 152 billion U.S. dollars. In large data, especially cloud storage, spending in 2015 will be expected to reach $22.6 billion trillion. In this context, the 2013 large data will be expected to have the following characteristics:

First, usher in a new opportunity for it transformation

It consumerism and BYOD trends will require more technology, not only to achieve seamless access to any device, any location, any time, but also need faster response speed, cross-platform scale-out, and security.

60% of companies offer BYOD (Source: Bitzer Mobile)

Virtualization and cloud-based services are expected to assume the role of it transformation. The 2013 will pave the way for a mature IT environment for business porting, including infrastructure for mobile, BI business applications, and backup porting.

Two, "Big data" blossom

2013 will be expected to be the year of big data accelerated development. Data science, supported as a business platform, will fully apply large data technology to gain insight into the value of data, and form value to form an important battleground for competing.

By 2016, the Asia-Pacific region will become the world's largest cloud data traffic area. Organizations will make full use of large data advantages to further enhance business agility and accuracy, thus enabling enterprises to obtain better investment returns. However, the main challenge posed by massive data is how to manage effectively. Companies such as IDC and Gartner predict that 1000 of the world's largest companies will have 1 million big data-related jobs in 2015, but only one-third of them can meet data management needs.

In our country, there will be more large data based software and hardware and service providers, especially based on the large data platform of BI software and industry applications combined. This aspect of the typical application will be reflected in the Internet, telecommunications, video surveillance and other fields, other industries will be gradually promoted.

Iii. Trusted It

Virtualization, cloud computing, mobile technology, and large data applications all present a grim topic for businesses: How to create, deliver, and manage this information?

Rapid expansion of IT infrastructure, application scale and cloud environment provides a convenient channel for the growth of data information, but also brings more security risks to enterprises. As a result, companies need to develop new systems and solutions that mitigate these risks and help monitor compliance with data protection.

Homeopathy Guides: The pros and cons of large data torrent

Large data like water, if too much and not enough good tools and methods to guide, it will become harmful, large data like torrent, menacing and confusing. If it is properly guided, it will benefit the whole population as a diversion, and the idea will be harmful to one side.

How to harm one side? Please listen to me slowly: on the one hand, under the impact of large data, the enterprise's IT infrastructure is bound to bring strong impact, so the enterprise needs to have a more powerful and more scalable platform to meet more data processing, transmission, storage and other basic demands, and these will be conductive to the financial expenses of enterprises. On the other hand, it is also necessary to improve the IT skills of employees, understand how to achieve more efficient management of these platforms in a massive data environment. Increasing the skills of employees, or requiring more senior technicians to manage it in the age of large data, will inevitably increase costs.

Above, it is only for the enterprise IT architecture and the impact of the Department, in fact, large data will also bring business security, decision-making analysis of the burden. More and more data, of course, will bring trouble to IT management, but more will also bring security risks. How to distinguish the sensitive data from the massive data, and to ensure the security of the data through effective means; How to extract the valuable market information and provide scientific basis for enterprise decision making from the massive data of "the flower is becoming attractive to the eyes". These are challenges. If enterprises do not pay attention to, without preparation, it is difficult to deal with this large data "torrent".

Of course, if prepared in advance, or through early input, the existing IT infrastructure to integrate, or in the form of outsourcing, the use of large data this historical opportunity to promote the further development of business, can provide good benefits.

Large data This "torrent", whether it is to flush out an oasis or submerged a holy soil, ultimately depends on the user itself.

(Responsible editor: The good of the Legacy)