Data Warehouse Presentation

The purpose of data warehouse is to build an integrated data environment oriented to analysis, and to provide decision support for enterprises (Decision-support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data, data Warehouse, data application: From the graph can be seen data warehouse data from ...

The intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall the article before--the website data analysis Some questions 2 mainly collates the bi related question, this article mainly wants to organize some data warehouse related question. Because I recently looked back at some data warehouse information and books, want to put forward as well as the current problems to come up (blog about data Warehouse related content Please refer to the website Data Warehouse this directory), at the same time they also have the knowledge of the data warehouse under the reorganization and understanding, and for a long time ...

The traditional business intelligence system only serves for the decision person, and is affected by the security factor, the analysis data can only be reflected in the local user terminal, but manifests the way almost is the ordinary computer. With the rapid development of computing and Internet technology, the mobility and activity space of sales, market and decision makers are more and more, more and more managers involved in decision-making, the real-time and interactive requirements of information transmission are more and more high, which puts higher demands on business intelligence. The development of the next generation business intelligence requires that it not only can provide strategic decision for senior decision-makers, but also can ...

In recent years, more and more enterprises have focused on optimizing their business in order to gain greater and more lasting competitive advantage, which is inseparable from the analysis and utilization of the existing data of the enterprise, in order to create more value or avoid more risks and better optimize the business, the construction of a new generation of data center is put on the agenda. The new-generation data center is developed on the basis of traditional data warehouse and Dynamic Data Warehouse, which can be divided into three kinds: relational data center, non relational data center (based on Hadoop or enterprise content Management) and mixed data according to different data types.

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

Intermediary transaction SEO diagnosis Taobao guest owners group buy Cloud host technology Hall on a--Web site data analysis of some of the problems in 1 mainly listed in the Web site data analysis industry and data analyst this career-related issues, this is the second, mainly to list some questions about BI. Bi (Business FDI, Business Intelligence), first look at Wikipedia's definition of bi: Business FDI (B ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

Chen Jingxi: Hello, I am the world's Super Cloud product manager, "Super Warehouse-help build private storage Cloud", cloud everybody knows, cloud computing is very hot, Cang everybody first thought is what? Warehouses, and granaries, and grain. There are rice, put noodles. What kind of stuff is in the warehouse? Not now. I'm going to cook dinner tonight, I'll take the grain out of the warehouse, but I have a lot of reserves. The time to put in the warehouse, including goods, food, including any kind of reserve material is defined by the warehouse. The Super Warehouse we are going to introduce to you today is also based on this ...

If the number of reports or concerns of non-it media is used to measure the heat of an IT vocabulary, I believe that "big data" is definitely the hottest it vocabulary, and cloud computing is certainly not its opponent. The big data is so hot because it seems to have more to do with the life of the general public than other it terminology, or more legendary relationships. From targeted marketing to helping the U.S. presidential election, big data quickly wears a magical cloak. And it is because of this overt influence on human life that it becomes every life in the letter ...

If the number of reports or concerns of non-it media is used to measure the heat of an IT vocabulary, I believe that "big data" is definitely the hottest it vocabulary, and cloud computing is certainly not its opponent. The big data is so hot because it seems to have more to do with the life of the general public than other it terminology, or more legendary relationships. From targeted marketing to helping the U.S. presidential election, big data quickly wears a magical cloak. And it is because of this overt influence on human life that it becomes every life in the letter ...