Why Data Warehouse

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for 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 ...

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 ...

Over the past three years, the Hadoop ecosystem has expanded to a large extent, with many major IT vendors introducing Hadoop connectors to enhance the top tier of Hadoop or the Hadoop release that the vendor uses. 　　Given the exponential growth in the deployment rate of Hadoop and the growing depth and breadth of its ecosystems, we wonder whether the rise of Hadoop will lead to the end of traditional data warehousing solutions. We can also put this issue in a larger context to discuss: to what extent, large data will change ...

It seems that the word "big data" hangs on everyone's lips. The discussion around big data has almost completely overwhelmed the traditional http://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse." Some big data enthusiasts even boldly predict that in the near future, all enterprise data will be hosted by a system based on Apache Hadoop, and the Enterprise Data Warehouse (EDW) would eventually die out. Anyway, the traditional data Warehouse ...

1 traditional warehouse system, generally rely on a non automated, paper-based document based system to record and track the goods in and out of the warehouse to implement the internal management. For the whole storage area, the uncertainty of human factors leads to low labor efficiency and serious waste of human resources. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; 2 with the increase in inventory and the number of varieties and the frequency of the play ...

Should celebrate the company's first birthday, but in an uncertain atmosphere to see colleagues one by one left, and even the CEO waved farewell, online shopping platform "Big warehouse" story near the end. 　　This once and 1th stores and said the "Shanghai Electronics business Super Double-hung" site will lose confidence in shareholders, the flow of funds are facing a crisis, the current large warehouses have completely terminated the main station operation, its office space in Shanghai also deserted. Although the company has been actively dealing with various services, debt relations, but due to tax and consumer complaints, and so on, the status of the large warehouses has caused the relevant departments to note ...

Big data is now a very hot topic, SQL on Hadoop is the current large data technology development in an important direction, how to quickly understand the mastery of this technology, CSDN specially invited Liang to do this lecture for us. Using Sql-on-hadoop to build Internet Data Warehouse and business intelligence system, through analyzing the current situation of business demand and sql-on-hadoop, this paper expounds the technical points of SQL on Hadoop in detail, shares the experience of the first line, and helps the technicians to master the relevant technology quickly ...

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 ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

April 12, 2010 8:42 A.M., a network report letter provoked thousands of waves, not only the planned listing of industrial securities in the spotlight, but also the entire securities industry ripped open a person to see the hole. This report letter, directed at the original Societe Generale Securities Information Technology department deputy general manager Sho Junguang Use the Post special permissions, inquiries tracking company's own account for stock trading. The report material exposes the Sho Junguang September 2007 period part of the securities trading behavior, its operation and Societe Generale Securities proprietary account highly consistent, and the transaction interval is extremely short, the shortest time interval only one minute, the transaction amount from 2.0 ...