In layman's terms, we have four main characteristics of big data one is a large number of diverse, feel the high speed and valuable, the second is dynamic and dense, we know that the tourism industry is a high information dependence industry, although he said he is now in the tourism industry started in a very short period of time, but the development of the industry is very rapid.
Golden Palm Wisdom big data team for the first time publicly unveiled: how to make tourism big data visualization (reproduced)
What is our realization path in tourism big data? General big data realization path is divided into four major environmental levels, first of all, the unified collection of data, we can also collect external data, we get these collection sources need to analyze the data, we store these data in the data warehouse, and according to the different business analysis and different themes, may form a different collection of data for the real analysis. In the real analysis of the application level, we can through the traditional technology, as well as we are now the hottest cloud computing way to analyze and mine the data. Ultimately, after we pass some data mining, more to some partial technical people to see, in fact, we are now more and more end-users partial business talent, such as the CEO, CFO may not particularly understand the technology, we need to improve the very visualization to these people to see,
In short, the processing of our entire data process is mainly divided into four parts, data collection, cleaning, mining, Show, which cleaning and mining is more biased technology, these two steps are the weakness of the tourism industry practitioners, he needs to rely on a very large number of data technology, we can introduce the more mature domestic and foreign advanced technology, or relatively advanced big data organizations to cooperate, to complement us this problem. Acquisition is our industry bottleneck, we are very restricted in this area, big data research organizations have very good models, suffering from the lack of real data to do the validation, so when we want to dig big data in the field of tourism industry, the more the collection of the source we will be strategic pastry.
Golden Palm Wisdom big data team for the first time publicly unveiled: how to make tourism big data visualization (reproduced)
Currently, Golden Palm is mainly through SQL and other ways to talent, through the TXT different levels of storage, the current accumulation of the entire industry's basic data, including more than 30,000 Chinese travel agencies, 730,000 tour guides, 100,000 tour guides, we can be modeled through our Detect our team, these data looks very large but he only exists in the database there is no way to give a wide range of users, so we need to be presented through the visualization of the way, visualization can be achieved through several elements. We have established a large screen monitoring platform to share the accumulated data, we can show all the information through a dynamic way, we can also **** enjoy their own macro data in the industry, to help you grasp the whole picture of the entire tourism industry.
Outbound, the top 10 destination countries are Japan, Taiwan, South Korea, Australia and the United States. Let's zoom out a little bit more, our country in May to go to destinations mainly in Europe, East Asia, as well as we have a very large number of tourists in Australia then the largest number of people in Europe, Italy, Switzerland. Half of them go to Japan, and 45-54 women traveling abroad in May is the largest number.