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BI architecture and data warehouse design
(14:26:41)BI architecture and data warehouse design
A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo
A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for e
A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for e
solutions. This statement is especially misleading when developing OLAP solutions for a department or a limited user group.
The most important feature of a data warehouse is data integration. The most important purpose of a data warehouse is information
The index of the Data warehouse is a tricky issue. If there are too many indexes, the data is inserted quickly but the query response is slow. If too many indexes, the data import is slow and the data is more storage space, but the query responds faster. The role of indexes
Data
Three CIF Case-sap BW
The main feature is that ERP vendors provide the entire architecture, which saves a lot of design work, and reduces the cost of design and development, encapsulation of the business in BW, reducing the difficulty of long-term maintenance. ERP data resources are very rich and valuable, should be an important source of data warehousing,
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
dw solution, and teradata began to provide its dw product on suse-based OS-running hardware. The advantage of closed hardware is that it is out-of-the-box. It has been strictly tested by the manufacturer and has a high security level. Open Hardware requires the enterprise to possess powerful technical strength and can have a hardware, storage, A team with comprehensive knowledge and capabilities of the operating system is combined into a basic platform that can run dw software, and can quickly
This article mainly introduces the open-source MySQL efficient data warehouse solution: Infobright details. This article describes the features of Infobright, the value of Infobright, the applicable scenarios of Infobright, and the comparison with MySQL, for more information, see Infobright, a column-based database based on the unique patented knowledge grid technology. Infobright is an open-source MySQL
time dimension and address dimension as an example. The creation process is the same.
Click Next to create a time dimension (Time).AddressAndDetailCreate a snowflake model sharing dimension
Click Next to createDetailDimension. After the creation is complete, it must be processed to take effect.
After creating a dimension, you should create a multi-dimensional dataset. A multi-dimensional dataset is a dataset Based on dimension tables and fact tables. It all
and load data into programs and develop data mining and analysis programs. If you do not have an ERP platform yet, you need to purchase a storage device and use the extract-transform-load (ETL) software to import data to the data wareho
applications.ProgramFor exampleERP,OA,CRM,Ehr,E-business,PDMAnd so on.BaIt will become the data source of the data warehouse. Although the business models and processes of different companies are differentBaThe basic concept is similar to the data model. Although there are already manyEAI(Enterprise applications integ
Data Warehouse data volume is generally very large, we need to back up every day? This point I still do not understand, just feel that the data warehouse at the very least from the production library flow of data does not need to
databases, data warehouses complement each other.To add, the purpose of the Data Warehouse scheme is to provide front-end query and analysis as the basis, because there is a large redundancy, so the need for storage is also large. In order to better serve the front-end application, the data
Data Warehouse scheme is to provide front-end query and analysis as the basis, because there is a large redundancy, so the need for storage is also large. In order to better serve the front-end application, the data warehouse must have the following advantages, otherwise it is a failed
Perhaps many people understand that the data warehouse is built on the basis of multidimensional data model for OLAP data platform, through the previous article-the basic architecture of the data Warehouse, we have seen that the
Technical Architecture Design of the data warehouse system
Author: Cheng Xiaoxu
Statement]
Because the technical solutions described in this article are derived from online production systems, they will not provide complete and detailed technical solutions, nor provide source code. You are welcome to discuss technical solutions and exchange design experiences.
The main function of the
users with local multidimensional analysis. Represents a product that has brio designer,business Object. DSS Decision Support Systems (Decision Support System) are equivalent to data warehouse based applications. Decision support is the collection of all relevant data and information, processed and collated, to provide information for the decision management of
Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright
Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength
product Dimension has a product family, a large class, and a small class of three attributes, which defines [ classify layer level, take advantage of these three properties directly, That is, each level is a property of a member. The other is between the dimension members, such as hr , each level is a specific dimension member, that is, each level is one or more dimension members, Each level contains multiple properties. The latter level is often persisted in the database in a recursive man
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