bill inmon data warehouse

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 sc

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

First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the bo

First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the bo

called the second paradigm, and so on. Therefore, Paradigms at all levels are backward compatible.　　What is star mode?　　　　The star schema is a multidimensional data relationship that consists of a Fact Table and a set of dimension tables.. Each dimension table has a dimension as the primary key. All these dimensions are combined into the primary key of the fact table. In other words, each element of the primary key of the fact table is a foreign key

first from the system and the overall perspective, taking into account information integration and sharing, good long-term and overall plan, there is an old story, can explain the argument of this law. Three blind men met an elephant and everyone screamed loudly. The first man grabbed an elephant's ear and said, "It's a big, rough thing, wide and broad, like a rug." The second man held the elephant's nose and said, "What I feel is the truth, it's a straight and hollow pipe." The third blind man

consumption transactions, it is necessary to set up an ATM in the region. Apparently, the transaction volume of a 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

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