Logical Data Warehouse Architecture

I've found that a lot of big data providers are always trying to prove the superiority of their technology by debasing the Data Warehouse, and I have always hated this way of marketing. They always say that the Data Warehouse system is too large, expensive and inflexible, and that their technology is fast, flexible and inexpensive. In the end they will be smug and say, "Come buy our products, and we'll get you out of the Data warehouse." 　　"They are always implying that you are a technology, or that the solution itself is out of the question. I admit that there are many problems with the data warehouse itself. It's not easy to design a data warehouse, but to be real ...

The big data age is putting pressure on data storage, and more and more organizations need to build a storage platform that can store large amounts of structured and unstructured data on the basis of cloud computing technology. 　　Cloud storage should be "cloud"-born. The so-called cloud storage, refers to through the cluster application, grid technology or Distributed file system functions, the network of a large number of different types of storage devices through the application software together to work together to provide data storage and business access functions of a system. The key to implementing cloud storage that adapts to user needs is to choose a strong data architecture based on application and deployment requirements ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

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 ...

It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...

It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...

Up, big data is becoming the fulcrum of Intelligent city landing; down, the innovative applications of large data aggregation have created great business value, economic value and social value. As a leading high-performance computing leader and cloud computing leader, the pioneer of China's industry data and solution provider, 2013 Shuguang Company, in the "Platform integration, intelligent application," the industry's Big Data Strategy guide, through XData large data integration machine, Xdata-hadoop Large-size data processing software, such as independent and controllable innovative products, from data collection, data storage, data analysis, data ...

With the full integration of it and communication technology into the social life, the huge amount of data generated every day contains great value, the data is becoming the strategic assets of enterprises. 　　It is one of the strategic directions of various industries, especially the telecom industry, to acquire new cognition and method from the mass data and create new value. Telecom operators are expected to become big Data Navigator Big data to our first feeling is big, then big Data how big? 　　A set of data called "one day on the internet" can give us some reference. During the day, all the content that the Internet produces can be engraved with 1.6 ...

When new technologies emerge, large telecoms, pharmaceutical and energy companies are deployed quickly, and retail, government and smaller businesses typically start to deploy after new technology has entered the mainstream market. In view of the fact that data virtualization is already in the mainstream market, how is the data virtualization deployment of SMEs? How will these companies benefit from this? What is Data virtualization? Data virtualization is a method of data consolidation, a technology that companies use to provide users with data business perspectives, improve business agility, and reduce IT costs. Data virtualization technology is a data integration middleware form, it ...