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
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 solution for online analytical processing (OLAP), which differs from many previous technologies, and it is mainly a concept, under the guidance of this concept, to complete the system c
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 Warehouse Introduction
Definition:A data warehouse is a structured data environment that supports decision-making and online analysis of application data sources. The data warehouse researches and solves the problem of obtaining information from the database.Data Warehouse features theme-oriented, integration, st
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 Technology is a general term for various technologies and modules to effectively integrate operational data into a unified environment to provide decision-making data access. All you d
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),
, fetched: 4 row (s)# Import/root/soft/student.txt local records to the student tableHive> load data local inpath '/root/soft/student.txt' into Table student;Copying data from file:/root/soft/student.txtCopying file:/root/soft/student.txtLoading data to table default. StudentTable default. Student stats: [numfiles = 1, numrows = 0, totalsize = 43, rawdatasize = 0]OKTime taken: 0.376 seconds# Check the student table. If there is a record, the local data is successfully inserted.Hive> select * fro
Original address
I. Definition of metadata
According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of data warehouses to easily find the data they care about; metadata is the data that describes the structure and methods of data in a data warehouse
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
In general, two monitored operational components in a data warehouse environment are the use of data and data stored in the Data warehouse. Monitoring data in a data warehouse environment is the basic ability to manage a data warehouse environment. Some important information can be obtained by monitoring data in a data
Basic concepts:
1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a data warehouse, and is organized and aggregated into a multi-dimensional structure defined by a set of dimen
This article discusses two common methods in data warehouse model design. In the application environment of data warehouses, there are two types of load: one is to answer repetitive questions, and the other is to answer interactive questions. Dynamic query has obvious interactive features. This interaction process is often called data mining or knowledge exploration.
Features of the Data Warehouse Model
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