Best Language For Data Analysis

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 ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

One of the key decisions faced by enterprises that perform large data projects is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. 　　Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couchba ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall Internet data analysis transforms the artificial perceptual judgment into the quantitative analysis, plays the important role in the enhancement customer experience. 　　I have always believed that the number of "language", the number is the most intuitive reflection of the performance of a measurement, and the idle pile of data is useless, only after the conscious processing, analysis can bring benefits to our work. In particular, the trade on the Internet, we can not only from the number of orders to determine whether there is value. For example, the author is the operating outfit ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

The industrial chain of large data can be divided into four layers, including IT foundation layer, data base layer, data application layer and data security layer. Personally think that in the Chinese market for entrepreneurs, the data application layer of the most entrepreneurial opportunities, the most imaginative space. This article will focus on the development opportunities of the data application layer in China market and the corresponding entrepreneurial opportunities. But in the data application tier, the biggest challenge is that most entrepreneurs start with a large data application capability and lack of data, and need to collect data while doing application services, once both data and application capabilities are available, Big Data startups will enter valuations than ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall in My Network Promotion Training Series article The second article "Wu Jian: Will micro-blog to achieve the ultimate, in fact, you can also" the main share of the completion of Mouchangqing Master's first on the microblogging mission after the experience and some of the skills to increase the audience, the article published by many peer friends of concern, 　　Also have to add my QQ exchange, in the process of communication I mentioned the most is "executive power" the word. In fact, in that article, I also focused on the implementation of the network to promote the importance of the work, and this importance, after I finished ...

Big data is no longer the subject of computing and statistics, and the widespread use of business schools has shown that big data is officially coming into the wider application of the industry. "Most of the big data is irrelevant noise," says Natte Silver, a statisticians in the famous "Signal and noise" book. Unless there is good technical information to filter and deal with, otherwise will get into trouble. "Duke University's rich-card business school this fall began to recruit large data business analysis direction of the master's degree, the XI ' an Institute of Management will accept overseas large data analysis of doctoral students as the new admission of teaching staff ...

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...