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Data warehouse model development methodology (for future reference) Based on the business data model, the data model of the data warehouse system is formed through the eight-step conve
political support is very important. It Gets the Data Warehouse project manager off the hook and puts the burden of the decision making process on senior Manag Ement ' s shoulders, where it belongs. 三、二级 Data Mart (Second-level-Marts) After you has represented all the major production sources in the enterprise with First-level
the height of the whole enterprise, the data model described by entity plus relation describes enterprise business structure, which conforms to 3NF in the paradigm, and differs from 3NF in OLTP system, in which the 3NF on the Data Warehouse is based on the topic-oriented abstraction of the enterprise. Rather than an abstraction of the entity object relationship
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
. 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
cases, the star pattern is layered into the snowflake model, that is, the star pattern is further layered and the data redundancy is reduced. To say so much, simply to answer two questions: Repeatability interactivity. The two issues correspond to two entities, data warehousing data marts. Let's compare the differences between the two entities. Everyone s
Search for "Inmon and Kimball" on Google, and you'll easily find the concepts of these two names, which are two of the best-known ways of data Warehouse architecture. In this ocean of information, however, you will find that almost all of the content can come to a conclusion, that is, to choose between Bill Inmon and Ralph Ki
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 introduction to him should be very comprehensive: in
The Kimball of Master Ralph: The Inmon of Bill master 1. Brief introduction The architecture design of BI system is the core of Data Warehouse architecture design. In the field of Data Warehouse architecture, there are two schools of theoretical knowledge, which were pr
prospect in China. The Data warehouse itself has a lot of technical and methodological system, but in the establishment of data Warehouse application, but also should be problem-oriented and can not be a method-oriented, based on the problem to find products and tools. There are too many examples of failures in this a
In the field of data warehousing, we often hear some personal or organizational debate about the theory of data warehousing, whether it belongs to Bill Inmon or Ralph Kimball faction. Below we will describe the difference between the two. Bill Inmon Paradigm:The Data Warehouse
Objective:Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.The first part of the basic articleChapter One concept and definition of data Warehouse1.1 Data Management System1.2 Data
the field of business intelligence/data warehousing, but their two-bit ideas and ideas differ greatly. Their followers also often have a debate about which architectures and ways to build better.At home, we typically refer to the definition of the four characteristic angles of the Data warehouse (subject-oriented, integrated, relatively stable, reflecting histor
: The time base change is difficult to grasp. The existing operational data is usually the current value, precision controllable, can be updated, but the data in the data warehouse can not be updated, so these data must be accompanied by time elements, when the actual operat
Label:There are two kinds of database design models widely used in Data warehouse: Relational type and multidimensional type. It is generally believed that the relational model in the design method of Data Warehouse is "Inmon" method and multidimensional model is "Kimball" m
According to the Informix Data Warehouse System implementation methodology, we can divide the data warehouse implementation into the following steps: 1. Business Demand Analysis Business Requirement analysis is the basis for 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
The methods for modeling SQL Server four data warehouses are mainly grouped into the following four categories. The first class is the three-paradigm modeling of relational databases, and we usually use the three-normal modeling method to build various operational database systems. The second type is the three-paradigm Data warehouse model advocated by Inmon, w
First, preface Changes in the work content, resulting in a return to the Data Warehouse model architecture and design, so take a moment to compare the system Review Data Warehouse modeling and system building knowledge system, recorded, as a note it.Second, the model No matter how
SQL ServerCategory 4Data warehouse modelingMethods are mainly divided into the following four types. The first type is the three-paradigm modeling of relational databases. We usually use the three-paradigm modeling method to build various types of operational database systems. The second category is the three-paradigm data warehouse modeling promoted by inmon,
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