Sas Master Data Management

Which of the following 5 languages are NODE, LUA, Python, Ruby, R, and which will be better applied in the 2014? I don't hesitate to choose R. 　　R is not only 2014, but also the protagonist for a longer period of time. 1. My programming background programmer, Architect, from the beginning of programming to today, has been convinced that Java is the language to change the world, Java has done, and has been very brilliant. But when the world of Java is becoming bigger and larger, when it becomes omnipotent, it is not professional enough for other languages to develop ...

Large data is changing the way many companies and IT departments observe, store, and read data. But the technology is still in its infancy, and many companies are still looking for the right balance. As successful companies tap into their data to get information, a range of seemingly random numbers of information becomes profit growth, and the ability to large data and manage large data has become a core competency in almost every industry. But what does "big data" really mean? Is it some kind of charade or something? Simply put, the big data is the company-wide data that comes and goes into the company. ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

Now, many industries have started to find the right person for a new data technology-related position, which is data scientists. With the participation of big-name companies such as Facebook, Google, StumbleUpon and PayPal, data scientists have become increasingly hot on the job. This kind of talented person can skillfully combine the business, analytical work and computer skill, bring us unprecedented enterprise productivity promotion and blank filling function. Facebook "In this position, you will be a software engineer and measurement researcher ...

The importance of data has been more and more companies, individuals are well-known and accepted, and even before the trend has not yet. The concept of big data skyrocketed, it seems that overnight everyone is talking about big data, met without greet big data, it seems not mixed in the data circles. So, the data passed by the outside world amazing, in the end can promote business take off? Or put it another way, the business what level of data needs? Where can the data help the business? Combined with the author's many years of work experience and Data and business understanding, business demand for data summarized ...

More and more companies, individuals have the importance of the data, more than ever before momentum. The concept of big data is everywhere, as if everyone is talking about big data, met without greetings of big data, as if it was not in the data world. So, was such a miraculous data from the outside world, in the end in what areas can promote business development? Or that business data on what level of demand? Where can the data to help business? With their many years of work experience and Data and business rough understanding, the business needs of the data summarized in four levels ...

Absrtact: The importance of data has been more and more well-known and accepted by more and more companies and individuals, even the momentum of too much overkill. The concept of large data flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not the importance of data has been more and more companies, individuals are familiar with and accept, and even the momentum of overkill. The concept of large data is flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not in the data circle mixed. Then, by the outside gadget ...

According to Google trends, "big data" is rarely used as a search term in 2011, but since the beginning of 2012, you can almost hear people in all walks of life talking about "big data". This is a very fast growing area, and it has spawned a lot of jobs. A McKinsey report predicts that by 2018 only the United States will have a gap between 140,000 and 180,000 people in the "in-depth analysis" of large data professionals. According to the new Vantage company, "Fortune" of the United States 5 ...

Absrtact: The importance of data has been more and more well-known and accepted by more and more companies and individuals, even the momentum of too much overkill. The concept of large data flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not the importance of data has been more and more companies, individuals are familiar with and accept, and even the momentum of overkill. The concept of large data is flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not in the data circle mixed. Then, by the outside gadget ...

The hottest three key words in the big Data age are: Cloud, big data, analysis. The heat of cloud computing does not need to repeat, because no matter you look at Weibo or browse the site, if three pages can not see a cloud word, that means you must not be in IT industry. However, people often see cloud computing, and do not know how to do, what kind of things. Cloud computing, if not used to do analysis, then you can only cloud, the cloud, never to the cloud for rain. What is large data? What is the rationale? Let's take a look at the history of the word big data. In the 60 's, people ...