What Is Data Warehouse

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with ...

In the wave of cloud computing, large data and mobile technology, IT systems play a more and more important role in telecom operators ' business, and transform from back-office support system to core business system. A survey from the Economist Information Division shows that more than half of the respondents rely heavily on it to improve their operational efficiency. Among all respondents, the most efficient companies, those that outperform their peers, have identified different roles for it in key areas of their business. 　　2013, operators will invest more money and human resources to transform IT systems. In this year's "it Month" newspaper ...

People rely on search engines every day to find specific content from the vast Internet data, but have you ever wondered how these searches were performed? One way is Apache's Hadoop, a software framework that distributes huge amounts of data. One application for Hadoop is to index Internet Web pages in parallel. Hadoop is a Apache project supported by companies like Yahoo !, Google and IBM ...

The 2nd Session of the "2012 China Data Center Industry Development Conference" was held in Beijing on the 20,112-year 17th, in the afternoon of cloud computing and the flexible and efficient IT Infrastructure forum, Dr. Yianyang, general manager of the China National Securities Information Technology Department, made a keynote speech on "The evolution of enterprise-class data centers and the application of securities industry data". The following is the full text of the speech. Dr. Yianyang, general manager of China National Securities Information Technology Department Yianyang: Good afternoon. I come from the financial industry, I talk about cloud computing from the user's point of view, then I push us to cloud computing, especially the big numbers ...

In almost everyone's mind, big data is the large and small amount of structured and unstructured data that the enterprise IT department is growing exponentially. But while big data has become a mainstream it phenomenon, most large data projects still end in failure. The reason is that it is difficult for enterprises to find appropriate methods for large data collection, management and understanding, and ultimately from large data information to extract valuable things. Conquering large data items, and ultimately extracting the business insights that your business needs, is a daunting task in itself. But when it comes to defining ...

Today, Apache Hadoop is no longer known to anyone. 　　When Doug Cutting, the Yahoo search engineer, developed the Open-source Software Library to create a distributed computing environment and named his son's elephant doll, who would have thought it would one day occupy the top spot of "Big data" technology? While Hadoop is associated with big data, it is believed that many users have little knowledge of it. In last week's Tdwi Solution Summit, TDWI research director and industry analyst Phil ...

Hadoop technology friends will certainly be confused about its system under the parasitic open-source projects confused, and I promise Hive, Pig, http://www.aliyun.com/zixun/aggregation/13713.html "> HBase these open source Technology will get you some confused, do not confused more than just one, such as a rookie post doubt, when to use Hbase and when to use Hive? ...

Now, Apache Hadoop no one I do not know unknown. When Doug Cutting, a Yahoo search engineer, developed the open source repository for creating a distributed computing environment and named his son's elephant doll, who could think of one day it would occupy the head of "big data" technology Top spot it. Although Hadoop hot with big data together, but I believe there are still many users do not understand it. In last week's TDWI Solutions Summit, TDWI Research Director and Industry Analyst Phili ...

If you ask 6 people about how to define cloud computing, you may get at least a dozen numbers of answers. And if you ask them what the relationship between software, SaaS, and cloud computing is, you may get a much more varied answer. Currently, companies that use software as a service have access to applications based on an ordered price model, which is also commonly known as on-demand software. This application is typically deployed outside the company (contrary to the software installed in-house). The result is a reduction in the cost of getting software and hardware, and ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

Although businesses are well aware that every customer has its own needs, each customer is a market segment. However, for each customer to subdivide, provide personalized service, for most businesses is not realistic, personalized service is only a few high-end customers exclusive. However, the emergence of a new generation of data analysis technologies, represented by large data, "one customer, one market" is becoming a reality on e-commerce websites. Some of these advanced technology E-commerce site is through this personalized service, to provide including competitive product recommendations, intimate shopping experience, enhance the site's customer transformation ...

Eckerson Wayne, a consultant, says Hadoop provides a platform where dynamic environmental monitoring provides more convenient control for individual data analysis and Spreadmart (report marts) established by business users, while also allowing them to have local self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, the different spreadsheets that multiple individuals and teams create. 　　Because the data is inconsistent, it brings a lot of trouble to the business. ...

It is estimated that by 2015, more than half of the world's data will involve hadoop--an increasingly large ecosystem around the open source platform, a powerful confirmation of this alarming figure. However, some say that while Hadoop is the hottest topic in the bustling Big data field right now, it is certainly not a panacea for all the challenges of data center and data management. With this in mind, we don't want to speculate about what the platform will look like in the future, nor do we want to speculate about what the future of open source technology will be for radically changing data-intensive solutions.

Absrtact: 1, what is the hottest and most famous High-tech start-up company in Silicon Valley? In Silicon Valley, we are very enthusiastic about the opportunity to talk about entrepreneurship, I also through their own some observation and accumulation, saw a lot of recent years, the emergence of the popular start-up companies.   I'll give you a 1. What are the hottest and most famous High-tech startups in Silicon Valley at the moment? In Silicon Valley, we are very enthusiastic about the opportunity to talk about entrepreneurship, I also through their own some observation and accumulation, saw a lot of recent years, the emergence of the popular start-up companies. I give you a list, this is China ...

The machine learning algorithm platform allows users to experiment by dragging visualized operational components so that engineers without a machine learning background can easily get started with data mining.

Recently released Hive 0.13 ACID semantic transaction mechanism used to ensure transactional atomicity, consistency and durability at the partition layer, and by opening Zoohttp: //www.aliyun.com/zixun/aggregation/19458.html "> Keeper or in-memory lock mechanism to ensure transaction isolation.Data flow intake, slow changes in dimension, data restatement of these new use cases in the new version has become possible, of course, there are still some deficiencies in the new Hive, Hive ...

Absrtact: Because Hive employs SQL query Language HQL, Hive is easily understood as a database. In fact, the structure of the Hive and the database in addition to have a similar query language, there is no similarity. This article will explain the differences between Hive and database from several aspects. The database can be used in Online applications, but Hive is designed for the Data Warehouse, which helps to understand the characteristics of Hive from an application perspective. Hive and database comparison query Language ...

After years of accumulation, China's industry information market is in the critical period of transition from "external force traction" to "domestic demand". Informatization has become the key means and new impetus of enterprise reengineering business model, continuous optimization process. CCW Information believes that the change of enterprise Information application power and the combination of new technology and service will cause a series of changes of information application. First of all, the company's demand for service providers has changed. The demand for service providers ' comprehensive service ability is increasing. Companies require service providers to provide a package of solutions to meet better support ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

Big data surging, red IT industry has never lacked a new concept, the term, new technology, update fast, the launch of the fierce, dizzying. 　　After cloud computing and social networking, big data is now on fire again, surging, and seems to be the most fashionable word in the 2012 Information technology field. Oracle, SAP, IBM, Microsoft and other IT giants, such as looking for a new gold mine, began to dig up large data, multi-directional promotion of large data concepts, especially SAP Hana and Oracle ...