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
PHP-based simple collection data warehouse receiving program [continued], php collection warehouse receiving sequel
In the previous article, we have collected the list data on the news page. The next step is to read the URL to be collected from the database and capture the page.
Create a content table
However, you must
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
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
Introduction: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 data warehouse construction projects. We hope to help you summarize a set of methods that meet the current industry standards and meet the data
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
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
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
What is a data warehouse?
Bill inmon, father of data warehouse, was widely accepted in the definition proposed in building the Data Warehouse published in 1991, A 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
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
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
Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any
Introduction
With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data.
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
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