Before you start spraying this topic, let's take a look at the official definition of the Data warehouse:数据仓库(Data Warehouse)是一个面向主题的(Subject Oriented)、集成的(Integrate)、相对稳定的(Non-Volatile)、反映历史变化(Time Variant)的数据集合,用于支持管理决策。以上是数据仓库的官方定义。"Operational database" such as the Bank accounting system database, every business op
Label:In the absence of a real data warehouse database, all data warehouses are now just a relational database created based on the dimension model, but the Data Warehouse database itself has some differences, such as the unique features of an OLTP database, such as the most
A Introduced
Some "super users" with access to data have learned professional Transact-SQL. The convenience of the Report Builder in SQL Server 2005 Report Services (SSRS) extends to the creation of powerful Transact-SQL queries, making it easier for more users to use it. Their ability to consume system resources is beyond their capabilities, posing a challenge to the database administrator (DBA) in maintaining consistent performance. However, when S
Data topic: How to Advertise Data Warehouse?
Author: hem
Affiliated Forum: Data Warehouse
Problem points: 300
Number of replies: 1
Popularity Index: 6
Publish Time: 2001-9-13 16:38:32
Data warehousing is a theme-oriented, integrat
Tags: des style blog http color os using IO JavaFor the first two years of the Data Warehouse, all calculations (including data ETL, and report calculation) were implemented using a high-profile standalone + MySQL approach. No OLAP). Used MySQL's own MyISAM and Columnstore engine infobright. This article summarizes some of the common performance issues and soluti
EndorsementWith the advent of big data, often hear the relevant vocabulary, dimensions, indicators, BI, PV, UV, and so on, if you do not know what the meaning, embarrassed to come out mixed, today I tidied up these words, can let everyone quickly into the relevant topics.DwDW is the abbreviation for Data Warehouse, which is the database
Lesson 5: Use Database Access(Data Warehouse access) Parts
The ASP database access group uses ActiveX Data Objects (ADO) to provide a simple and easy-to-use method, information stored in the data warehouse or in the data
Data Warehouse applications have the ability to capture large amounts of shared information from multiple decentralized departmental systems. They can effectively transform the original data of the organization into useful knowledge information, so the knowledge information can be used for strategic decision support to improve the enterprise benefit. With the hel
system does not contain student information, as shown in the system database model:
The student status management system is built and managed by the student office. The database stores basic information such as the student's degree, graduation destination, and family status, and stores the student's exam scores for each semester. Because the system focuses on students, there is no instructor information, as shown in the system database model:
Because different systems are built and managed
According to the author's experience in the Data Warehouse ETL internship in Teradata and Main Street network, we can understand the relationship and difference between them in architecture design.
Teradata is generally the enterprise-class data Warehouse, in the Teradata Data
When building a data warehouse, we will certainly mention the dimension modeling method. This method is first proposed by Kimball, and its simplest description is to build the Data Warehouse, data mart according to the fact table and dimension table. In the dimension modelin
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.(1) Topic-oriented: Index data in the warehouse is organiz
Kickfire: the SQL chip boosts the MySQL data warehouse to equip every MySQL database server with an SQL chip. this is a vision of Kickfire to focus on the data warehouse market.
Kickfire launched the Kickfire Database Appliance test version integrated with the new SQL chip in April 14. The company said that the SQL ch
What is a data warehouse, and what is the difference between a databaseDataWarehouseis a subject-oriented (Subject oriented), integrated (integrate), A relatively stable (non-volatile), data collection that reflects historical changes (timeVariant) to support management decisions. (1) topic-oriented: Index data in the
What does the granularity in the data warehouse mean?
Granularity is one of the most important aspects of data warehouse design. Granularity refers to the level at which the data stored in the data unit of the
The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res
Partitioning a relational data warehouse
The following sections will briefly explain the concept of a relational data warehouse, the benefits of partitioning a relational data warehouse, and the benefits of migrating to Microsoft
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Review
As more and more organizations of data from the GB, TB level to the PB level, marking the entire social informatization level is entering a new era-the big data era. The processing of massive data, analytical ability, increasingly becoming the key factor in the future of the organization in this era, and based on the application of large
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