Demand For Big Data Professionals

Markus Klems Cloud Computing encompasses development, load balancing, business models, and architecture, a buzzword for the future development of the software industry (Software 10.0), or, so to speak, cloud computing as an Internet-centric software. Reuven Cohen Cloud Computing is a web-based service, and its main advantage is to allow users to pay only for the features they need, while eliminating traditional software investment in hardware, software, and expertise. Cloud computing makes ...

The coming 2013 is considered to be a "year of big Data" with a trans-era significance. In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies have started to practice big data. In order to further understand the real situation of large data application of Chinese enterprises ...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire. 　　Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

Nowadays, due to its long-term economic downturn, Japan has been facing many problems such as the declining international status, the aging of its young children, increasing social insurance costs and the aging of its social infrastructure. In order to change this status quo, the Japanese government has decided to maintain its sustained economic growth by deciding to promote economic development by vigorously developing the IT industry, especially big data and data and cloud computing. And Japan's major IT companies are looking forward to because of the big data and cloud computing has become the core of IT business strategy. In addition, regardless of the big data technology or the practical application of the enterprise, Japan occupies the ...

Today, big data technologies, especially big data analytics, have evolved into an important part of most corporate strategies, and companies are under intense pressure to keep up with the rapid growth of big data.

Now, talking about big data is not new, all walks of life are competing in the excavation of large data "great value", resulting in a wide variety of customized large data programs. On the other hand, there are large groups of "double-edged swords" that hold large data at risk. Is big data a business opportunity or a crisis? If you have to choose, I think it is business opportunities, and any business opportunities are risk factors, the risk need not blindly expand to sensational. If everyone can obtain success from the big data, then the benefit is the social overall progress, but will not change the social individual or the group's strength pattern. I think, do ...

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

In the era of information explosion, businesses and businesses fought to attract and retain business intelligence and information management professionals. We also see huge gaps in Big Data practitioners in the annual ITWeek Salary Survey released by InformationWeek. Now in the field of big data presents the "4V + 1C" features. That is Variety: usually include structured, semi-structured and unstructured and other types of data, and their handling methods and analysis methods are different; Volume: through ...