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Perhaps many people understand that the data warehouse is built on the basis of multidimensional data model for OLAP data platform, through the previous article-the basic architecture of the data Warehouse, we have seen that the
The common dwh architecture is as simple as figures 2 and 3. Generally, for an enterprise, the data lifecycle is 5-7 years, especially for detailed data. The lower the data granularity level, the shorter the lifecycle, the higher the data granularity and the longer the lifecycle. For the flow account
Adopt flexible and effective methods to plan, design, and implement Basic Data Warehouse solutions based on IBM DB2 Data Warehouse Edition. Part 1 of this series will focus on the customer interaction process and plan data warehouse
Objective:Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.The first part of the basic articleChapter One concept and definition of data Warehouse1.1 Data Management System1.2 Data
system, the data in the Data Warehouse has the following characteristics:
3.1.1 Theme-oriented
Theme-oriented is one of the most important features of data warehousing. The traditional data is application oriented, data and app
Data warehouse and data mining are two big concepts. They are very mature in foreign countries. In China, with the accumulation of enterprise data and the maturity of ERP in the past few years, data warehouse and
Design | data
[For the convenience of their own reading so collect and organize here, Www.DMResearch.net]
21 Principles of Data Warehouse design
--7 steps, 7 taboos and 7 ways of thinking
Seven steps to efficiently implement a data warehouse
The
21 principles of data warehouse design-7 steps, 7 taboos and 7 ideas
Seven steps for efficient data warehouse implementation
The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have n
Seven steps for efficient data warehouse implementation
The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have not implemented a data warehouse, from setting goals to providing design
Schema | Data Microsoft Data Warehouse architecture
Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the function
in multiple legacy locations, and in some cases even relatively small data sources, such as Microsoft Excel spreadsheets, can be stored on file shares.
Clean up data
When you merge OLTP data into a data warehouse, you provide an opportunity to clean up your
First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data
First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data
Data Warehouse--digging in "beer and diapers" 01-5-21 04:19:25
Interlocutor: Host: Cheng Hung--"Computer World" reporter Home: Mengxiao--Renmin University of China School of Information Professor Qi-"Data Warehouse Road" website host it Manufacturers: Yang Shunsheng--NCR Greater China Market and partner g
Number of materialized views synchronized 1. The purpose is to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, the method of regularly refreshing the Materialized View
Number of materialized views synchronized 1. The purpose is to synchronize some data in th
A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong
A data warehouse is an environment rather than a product that provides current and historical data for decision-making support. This data is difficult or cannot be obtained in traditional operational databases. Data Warehouse Tech
How data builds a bank data warehouse
Song Yuchang, No. 11th Xinhua East Road, Dengzhou, Henan, China.
As a new technology in data management field, the essence of Data Warehouse technology is to put forward a comprehensive solut
Export data from data warehouse to word‑excel‑.txt using system;
Using system. Data;
Using system. drawing;
Using system. Data. sqlclient;
Using Excel;
Using word;
Using system. IO;
Namespace common{/// /// Import data to the .
Why layer data warehouses?
Use space for time and a large amount of preprocessing to improve the user experience (efficiency) of the application system. Therefore, a large amount of redundant data exists in the data warehouse;
If there is no hierarchy, changing the business rules of the Source Business syste
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