inmon data warehouse architecture

BI architecture and data warehouse design (14:26:41)BI architecture and data warehouse design A data warehouse solution is often related

IntroductionThe data warehouse architecture is a branch of the IT architecture. As the core role of data in enterprises increases, the data warehouse

The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). The basic architecture of data warehouse mainly consists of the process

Auto House Data Platform architectureInternet Enterprise Data Warehouse construction is to use the bottom-up approach, or top-down approach. If you are an architect in the data division, how do you plan a data warehouse? At the 20

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.

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

ModelingTo generate a business model, which mainly solves the business-layer decomposition and programming. Domain ModelingGenerate a domain model, which is mainly used to abstract the business model and generate a domain conceptual model. Logical ModelingTo generate a logical model. It mainly refers to the logic of the conceptual entities of the domain model and the relationships between entities at the database level. Physical ModelingThe physical model is mainly used to solve physical and

bank is huge, usually measured in millions or even tens of millions of times. The transaction system is real-time, which requires timeliness. It takes tens of seconds for the customer to save a sum of money, which requires the database to store data for a short period of time. The analysis system is post-event. It must provide all valid data within the specified time period. The

. Data Warehouse Model Through the above figure, we can easily see that during the modeling process of the entire data warehouse, we need to go through four steps: Business Modeling and generation of business models are mainly used to resolve and program the business layer. Domain Modeling: Generate doma

1. The concept of Data Warehouse began in the 1980s S and first appeared in the book William H. Inmon, known as "the father of Data Warehouse. As people deeply recognize and constantly improve the research, management, and maintenance of large

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introdu

0x00 Preface The following content, is the author in the study and work of some summary, of which the concept of most of the content from the book, the practical content mostly from their own work and personal understanding. Due to the lack of qualifications, there will inevitably be many mistakes, I hope to criticize. Overview The Data warehouse contains a lot of content, which can include

data, based on the use of appropriate query and analysis tools, data mining tools, OLAP tools and other analysis and processing (this time information into the knowledge of auxiliary decision), and finally the knowledge presented to the manager, Provide support for the decision-making process of the manager.Relational theory leads to relational databaseData Warehouse