coursera data warehouse

21 principles of data warehouse design-7 steps, 7 taboos and 7 ideas Seven steps for efficient data warehouse implementation The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have n

What is a data warehouse? Bill inmon, father of data warehouse, was widely accepted in the definition proposed in building the Data Warehouse published in 1991, A data

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 book "Building The Data

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 book "Building The Data

　　Seven steps for efficient data warehouse implementation The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have not implemented a data warehouse, from setting goals to providing design

in multiple legacy locations, and in some cases even relatively small data sources, such as Microsoft Excel spreadsheets, can be stored on file shares. Clean up data When you merge OLTP data into a data warehouse, you provide an opportunity to clean up your

Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any

How data builds a bank data warehouse Song Yuchang, No. 11th Xinhua East Road, Dengzhou, Henan, China. As a new technology in data management field, the essence of Data Warehouse technology is to put forward a comprehensive solut

A data warehouse is an environment rather than a product that provides current and historical data for decision-making support. This data is difficult or cannot be obtained in traditional operational databases. Data Warehouse Tech

Introduction With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data.

Why layer data warehouses? Use space for time and a large amount of preprocessing to improve the user experience (efficiency) of the application system. Therefore, a large amount of redundant data exists in the data warehouse; If there is no hierarchy, changing the business rules of the Source Business syste

The original: "Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation tableFact tableIn a multidimensional data warehouse, a table that holds a detailed value or fact for a measure is called a fact table. A fact table that s

Original address I. Definition of metadata According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of

Fact tableIn a multidimensional data warehouse, a table that holds a detailed value or fact for a measure is called a fact table. A fact table that stores sales and sales by state, product, and month has 5 columns that are conceptually similar to the following example. Sate Product Mouth Units Dollars WA Mountain-100 January 3 7.95

To illustrate their relationship, we have to talk about business intelligence. From a technical point of view, the process of business intelligence is based on the data warehouse in the enterprise by the online analysis and processing tools, data mining tools, and the professional knowledge of decision planners, obtain useful information and knowledge from

About star schema In the construction of the Data Warehouse, the star pattern shown in the following illustration is almost the most commonly used. It is called star mode because the E-R graphic in the pattern is like a star (it feels strange to say). NBSP as shown in the figure, the center is a large fact table with some dimension tables around it. The fact table contains the primary information fo

Policy | data 6 Strategies of Data Warehouse implementation In the implementation of the data warehouse, the need for theoretical guidance, with the development of data Warehouse t

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

Data currently, the term Data Warehouse does not yet have a unified definition, the famous data Warehouse expert W.h.inmon in his book, "Building The Data Warehouse", gave the following

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