kimball vs inmon

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

operation. Reliability must be ensured.Relative to ODS. Edw can allow for more offline time.(1O) System opennessBecause of the need to exchange data with a large number of different hardware, database configuration systems. ODS requires a relatively high level of system openness.Edw generally only gets data. Instead of providing other applications with direct access to multiple modes, a relatively closed database, hardware and software platform can also be used on the solution.4 ODS and EDW con

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 presented by two Masters Ralph Kimballbill Inmon in the early 90. These two masters are the

mart first and then developing a data warehouse. There is always a debate over the top-down and bottom-up methods. Here we will mention two people-Ralph Kimball and Bill inmon, who have been the innovator in the Business Intelligence field and developed and tested new technologies and architectures, I have also written many books on data warehouses. Inmon beli

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 historical changes to support decision-making), which is Inmon proposed, and he is also known as

programmes have emerged. People have invented many methods, such as the Dewey Decimal system. They arrange the names of people or business names in the address Book in alphabetical order. There are metal filing cabinets, warehouse with shelves, Address Card file system, and so on. Employers try to track employees with time cards, clocks, and timetables. People need to structure and organize data, and they need to reflect and examine that data. If you can't access, structure, or understand the

actual project construction.3) data warehouse modeling method In fact, everything follows its own law. There are also many data warehouse modeling methods. Each modeling method represents a philosophical point of view and a method of generalization and generalization. Currently, there are many popular data warehouse modeling methods in the industry. Here we mainly introduce several methods, such as the paradigm modeling method, Dimension Modeling Method, and entity modeling method, in essence,

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, which is different from the three-paradigm modeling of operational database system.

entity modeling method, in essence, each method is to look at the problems in our business from different perspectives. either at the technical or business level, it actually represents a philosophical world outlook. The following describes the modeling methods in detail. 1. paradigm modeling (third normal form, 3nf) The paradigm modeling method is a commonly used method for building data models. This method is primarily promoted by inmon and mainly

system. Inmon Data Warehouse Modeling method is divided into three layers, the first layer is the entity relationship layer, also is the enterprise's business data Model layer, in this layer and enterprise's Operation database system modeling method is the same; the second layer is the data item set layer, The modeling method in this layer is different from the modeling method of operation database system based on the factors such as the frequency of

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 saw two graphs combined with the above basic knowledge should be understood, I will not say more. The Data warehouse is divided into t

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 Warehouse Concepts1.3 Data Warehouse ResponsibilitiesChapter II Architecture of Data Warehouse2.1 Inmon CIF2.2 Kimball2.3 For and analysisChapter III Fundamentals of Dimensional

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" method. First look at the relational model, where relational data exists in a form called "normalization". Data normalization refers to

Although the quality of information has only recently been merged into a subject, it has undergone several stages of evolution in its scope and significance. These are the stages of data cleansing, prevention, product overview, and corporate assets, respectively.Problem cognition: Data Cleansing phaseIn the early 90 's, in Inmon (1992),Kimball, etal. (1998) and other people's joint efforts, from the Data Wa

of understanding (7) Limited investment (8) Other issues 3. Advantages of BI products over Excel What are the major advantages of using BI and Excel that we often use, as shown in: (1) Deep data mining (2) Data Classification (3) timely data query (4) multi-dimensional data analysis (4) Future Trend Analysis (5) three-dimensional comprehensive report (6) intuitive front-end display 4. Benefits of Enterprise BI Import (1) enhanced information sharing (2) accelerated enterprises' decision-making

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, which is different from the three-paradigm modeling of the operating database system in te

It is relatively difficult to modify the default backend address of the Z-Blog PHP version. Although this is not a big problem, if zblog administrator password leaks, the default background will open the door for intruders. Therefore, website security depends on the details. The following section describes how to modify the default backend address of the Z-Blog PHP version:The default logon portal for zblog is "/zb_system/login. php". After successful logon, the system automatically ju