How To 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 ...

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 ...

I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. 　　Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...

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 ...

Integrated equipment (appliance) and large data analysis features have been the focus of attention in the latest 2012-year Data Warehouse Magic Quadrant report of Gartner, where major data warehouse vendors have increased their input in their offerings. This article will be the current industry's major manufacturers and products to make a comparison, end users can also be based on their own needs to evaluate the data Warehouse products. After acquiring Aster Data Bae last year at a price of 263 million dollars, Teradata's product line gets ...

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 ...

Recently, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, chapter of "The ultimate interpretation of the value of data" as the theme, in-depth discussion of how enterprises to fully utilize the latest data warehouse and enterprise analysis technology, with the help of data sources to provide insight to quickly formulate the best business decisions, grasp the business opportunities. At the press conference, Teradata dynamic Enterprise Data Warehouse platform 6690 (Active EDW 6690) platform began to supply, provide the latest generation of hybrid storage, further enhance the capacity of data warehousing, help ...

Most data warehousing projects will bring huge investment. For example, the Nordbanken bank, a European lender, spent 100 million euros to build a data warehouse system for data unification across regions and business units. However, in the face of the same business challenges, another European bank, UniCredit, has taken a radically different approach. "Our philosophy is to look for space in other projects, as long as there are any other projects," UniCredit chief financial officer Criscito Ambrisi said in an interview.

Teradata http://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse-specific platform to help enterprises to quickly make smarter decisions to win in the competition Analysis application platform performance upgrade one times, data capacity increase twice times To meet a variety of business intelligence mission requirements China, Suzhou-the world's leading data analysis solutions manufacturer Teradata (Teradata Corporation, New York Securities Exchange ...)

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 ...

2013 Teradata Big Data Summit was held in Beijing International Hotel recently. Industrial and Commercial Bank of China, deputy general manager of the Ministry of Information Technology, made a speech at the meeting, introduced how ICBC is using data and information to enhance the level of management and business value. ICBC has now become China's largest commercial bank. According to Zhang, ICBC in Beijing and Shanghai have built data centers, the current branches and affiliated institutions are fully to the direction of electronic development. From the statistical data, the first half of 2012, ICBC mobile phone Bank new customers to increase customer turnover rate to 18%, the turnover of 300% year-on-year growth.

2013 Teradata Big Data Summit was held in Beijing International Hotel recently. Industrial and Commercial Bank of China, deputy general manager of the Ministry of Information Technology, made a speech at the meeting, introduced how ICBC is using data and information to enhance the level of management and business value. ICBC has now become China's largest commercial bank. According to Zhang, ICBC in Beijing and Shanghai have built data centers, the current branches and affiliated institutions are fully to the direction of electronic development. From the statistical data, the first half of 2012, ICBC mobile phone Bank new customers to increase customer turnover rate to 18%, the turnover of 300% year-on-year growth.

Apache Hadoop is the foundation of a new generation of data warehouses. Hadoop is used by companies as a strategic role in their current warehousing architectures, such as extraction/transformation/loading (ETL), data staging, and unstructured content preprocessing. I also see Hadoop as a key technology in a new generation of large-scale parallel data warehouses in the cloud, and Hadoop complements today's warehousing techniques and low latency streaming platforms. At IBM, we look forward to the next few years, Hadoop and data warehousing technology can be more perfect for each other ...

March 16, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, the branch to "the ultimate interpretation of data value" as the theme, in-depth discussion of how to fully utilize the latest data warehouse and enterprise analysis technology, with data sources to provide insight, rapid development of the best business decisions, Grasp the business opportunities. Teradata President and CEO Michael Colle, chief technology officer Baoliming, Greater China Singlun, etc. attended the summit. In the afternoon of the club two, China Aviation Corporation Information Management Department data ...

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "Data Warehouse" book defines the concept of data warehousing, Then gave more ...

Research on application of Data warehouse in scenic spot based on cloud computing She Fowei Liang Changyong Marbangshau The development and application of new information technologies, such as cloud computing, IoT, large data, and so on, while improving the information service level of scenic area, it also put forward the serious challenge to the effective utilization of the massive information resources. In the face of large scale and unstructured data, the traditional data warehouse based on relational database is difficult to support the data storage and analysis of the scenic spot effectively. Based on this paper, a data warehouse of scenic spot based on cloud computing technology is proposed, and the data is distributed by using HDFs ...

Based on the hive of the Water conservancy Census Data Warehouse Chen Wandingshen Gu Xinzhen According to the mass and multidimensional characteristics of water Conservancy census data, this paper studies the Hadoop and hive developed rapidly under the concept of "big data", and combines the mature technology of the traditional data warehouse in multidimensional data analysis, This paper puts forward the construction method of the data warehouse of the Water conservancy census based on hive, describes the architecture of the Data Warehouse system, and according to the design characteristics of the hive, improves the traditional multidimensional analysis model through the method of splitting bucket, reducing dimension table and redundant fact table, finally building the cluster system to ...

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by the designer's ability to consider the new data source integration. If we can overcome some of the challenges of data migration, the problem can be solved by moving a data warehouse and its data analysis tools from dedicated servers in the datacenter to cloud-based file systems and databases. Cloud data management is often involved in loading and maintaining text in Distributed File systems ...

"IT168 Information" December 13, 2012 news, Microsoft Parallel Data Warehouse Global Center for Excellence director Russ Cavan to the Chinese market, introduced Microsoft's big Data strategy and parallel Data Warehouse Integration 2012 Product Roadmap, 　　At the same time, the announcement of Microsoft Parallel Data Warehouse machine first settled in the National Audit department. 2013, China will enter the third year of Twelve-Five planning ...