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Discussion on data modeling methods in data warehouse construction The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in
The following is an excerpt from the Internet and collated.Noun:BI (Business Intelligence): Commercial Intelligence,DW (Data Warehouse): Warehouse, see the Text Q1 section.OLTP (on-line Transaction processing): Online transaction processingAlso known as the transaction-oriented processing system, its basic characteristic is that the customer's raw
The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste
The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste
The following content is taken from the Internet and sorted out.Terms:BI (Business Intelligence): Business Intelligence,DW (Data Warehouse): Data Warehouse. For details, see section Q1.OLTP (On-Line Transaction Processing): online Transaction ProcessingIt is also known as a transaction-oriented processing system. Its b
Data Warehouse Introduction Definition:A data warehouse is a structured data environment that supports decision-making and online analysis of application data sources. The data
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
Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)Course category: data and data warehouseSuitable audience: elementaryLesson count: 76 lessonsTechnologies used: Data
Data Warehouse and data mining--a sharp weapon to participate in the competition of digital telecommunication enterprises The solution of Guangdong Telecom Data Warehouse based on Sybase Guangdong Institute of Telecommunication Science and technology 1 overview With the o
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
a common subject or business field. The following describes how to create an information package chart through information packaging technology to determine the topic and metadata in the data warehouse.3.4.1 information packaging technology1. Basic use of information packaging technology The information packaging method is a top-down design method, which focuses on one or more topics of an enterprise from
Schema | Data Microsoft Data Warehouse architecture Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the function
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
Design | Data building Data Warehouse What do you want to do? Generally, there are two main areas of data Warehouse construction: 1. Interface design with operational database. 2. The design of the data
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
Data warehouses are subject-oriented, integrated, non-updatable, and changing over time, which determines that the system design of a data warehouse cannot be designed with the same design method as the traditional OLTP database.The original requirements of the Data Warehouse
Data Warehouses are subject-oriented, integrated, non-updatable, and constantly changing over time, these features make sure that the system design of the data warehouse cannot be the same as that of the traditional OLTP database. The original requirements of the data warehouse
processing, and data loading. To implement these functions, various ETL tools generally expand functions, such as workflows, scheduling engines, rule engines, script support, and statistics. 3. Mainstream ETL tools There are two types of ETL tools from the vendor perspective. One is the ETL tools provided by the database vendor, such as Oracle warehouse builder and ORACLE
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
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