granularity in data warehouse

Schema | Data Microsoft Data Warehouse architecture Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the function

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

Top 10 best practices for building a large Relational Data Warehouse Writer:Stuart ozer, Prem Mehra, and Kevin Cox Technical ReviewPerson:Lubor Kollar, Thomas kejser, Denny Lee, Jimmy may, Michael Redman, and Sanjay Mishra Building a large relational data warehouse is a complex task. This article describes some design

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.

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

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

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

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 and dimension table. In the dimension modelin

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

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

building data warehouses. Pay extra attention to which data sources are compatible with the data type, granularity, and content. (4) Capacity Planning In addition to architecture, hardware and software resources are critical to the Data

server|sql| data Partitioned views join horizontal partitioned data from a group of members so that the data looks like it comes from the same table. SQL Server 2000 distinguishes between local partitioned views and distributed partitioned views. In the local partitioned view, all related tables and views reside on the same instance of SQL Server. In a distribute

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