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 basic feature is that the customer's raw data can be immediately transmitted to the com
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 the perspective of managers, focus on the mul
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 opening of the telecom market, the competition will be more and more fierce. The reduction of profit makes it necessary to change from e
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 warehouse is a topic-oriented (subject oriented), integrated (integrate), relatively stable (non-volatile), and time variant data set, used to support m
Local Warehouse
One of Maven's most prominent features is Jar package management, which, once the project needs to rely on which jar packages, can be configured in Maven's Pom.xml, the jar package will automatically introduce the project catalog. For the first time, it will be amazing, so let's explore how it works.
First of all, these jar bags are certainly not the children who have no father or mother, they have come, there are places. Places wh
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 data, at the same time it does not need to "consume" any data, data from outside, and open to external applications, which is why it is called "
Schema | Data Microsoft Data Warehouse architecture
Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the functions that the data warehouse can implement, the appropriate time to use the Data Warehouse, a
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 not implemented a data warehouse, from setting goals to providing design, from creating a d
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 data can be transferred to the computing center immediately
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 data warehouse is somewhat related to our common RDBMS system, but it is different. If you have not implemented
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 system. Its basic feature is that the customer's raw data can be immediately transmitted to the
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, from creating a data structure to writing data analysis programs, to evaluating the users who are picky about it, the whole process w
Function modules of the Warehouse Management System:
1. the system function setting module allows you to customize the management rules of the entire system, including the functions of defining administrators and operating passwords;
2. the basic information maintenance module generates a unique basic bar code serial number tag for each batch of products. You can define the serial number according to your needs. Each type of product has a fixed en
Policy | data
6 Strategies of Data Warehouse implementation
In the implementation of the data warehouse, the need for theoretical guidance, with the development of data Warehouse technology, Data Warehouse implementation strategy has been from the original "Top-down" a model developed to six models.
1, "Top-down"
Data currently, the term Data Warehouse does not yet have a unified definition, the famous data Warehouse expert W.h.inmon in his book, "Building The Data Warehouse", gave the following description: the database Warehouse) is a theme-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile),
Power WMS is a key product of our company. To be honest, the framework and performance are very good. We use the WCF technology and will introduce it to you here. The specific download has been uploaded to PDF download.
Power WMS Storage Management SystemOverviewIn the manufacturing and logistics fields, warehouses have always been one of the hubs of your operation. In today's increasingly fierce competition and changing market demands, warehouse
server|sql| data
Partitioned views join horizontal partitioned data from a group of members so that the data looks like it comes from the same table. SQL Server 2000 distinguishes between local partitioned views and distributed partitioned views. In the local partitioned view, all related tables and views reside on the same instance of SQL Server. In a distributed partitioned view, at least one table in a related table resides on one of the other (remote) servers. It is recommended that you do n
1, the storage jar package positioning Any dependency, plug-in, or project-built output in the MAVEN world can be called artifacts, and any one component has a coordinate as its unique identity. The coordinates are: group, Artifactid, version; Depending on the coordinates, it is possible to define its unique storage path in the warehouse, so it can be referenced in the project. 2. Maven Warehouse princip
1. Environment Construction1.1 Downloadshttp://www.sonatype.org/nexus/NEXUS oss [OSS = open source software, open source software--free]NEXUS Professional-free TRIAL [Professional version-charge].So choose Nexus OSS Locate the download Andinstall Nexus OSS. You can download the zip: 1.2 ConfigurationUnzip the downloaded zip package to get the following directory: Add the Bin directory of the Nexus to the PATH environment variable: To associate the Nexus with the JDK currently in
Compare | data
Comparison of the characteristics of nine large data warehouse schemes
China Institute of Electronic Equipment Systems Engineering Wang Jiannu Lidompo
Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acquisitions or research and development). Professional software companies such as Bo and Brio also have a place in the front-end online ana
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