granularity in data warehouse

in the fact table, so we cannot build a new dimension-product dimension, but also build a product-themed fact table.Therefore, before building a multidimensional model, we will generally be based on the requirements of the detailed design of the model, which should be included in the measurement of the size of the data should be kept to what granularity to meet the needs of users.The multidimensional model

Data Warehouse and data mining--a sharp weapon to participate in the competition of digital telecommunication enterprises The solution of Guangdong Telecom Data Warehouse based on Sybase Guangdong Institute of Telecommunication Science and technology 1 overview With the o

Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a

server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data

Data Warehouse--digging in "beer and diapers" 01-5-21 04:19:25 Interlocutor: Host: Cheng  Hung--"Computer World" reporter  Home: Mengxiao--Renmin University of China School of Information Professor  Qi-"Data Warehouse Road" website host it Manufacturers: Yang Shunsheng--NCR Greater China Market and partner g

special attention to which data sources are compatible with the data type, granularity, and content. (4) Capacity PlanningIn addition to the architecture, hardware and software resources are also critical to data warehouses. As part of the requirement definition, it is important to estimate the amount of

, their capacity and update frequency, the properties of the columns of the entity, and so on The design of particle size model By roughly estimating the amount of data to determine the granularity of the division, is a single granularity or multiple granularity (for example, 1 years of

Data Warehouse Introduction Definition:A data warehouse is a structured data environment that supports decision-making and online analysis of application data sources. The data

warehouse with different granularity. Data File Transfer module: This system provides two kinds of operating information access interface: One is to generate the interface data file according to the external Data requirement format specification, and the

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, wh

Radish (: Robbie_qi)The recent study of a big data company 1010data in the United States, which presented the concept of a new generation of data warehouses in the product whitepaper (next-generation data DISCOVERY), has the following characteristics compared to the first generation Data warehouse:users can analyze and

One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model Magenfeng(Guangdong Union Electronic Service Co., Ltd., Guangzhou 510300, China) SummaryThe star mode is a well-known concept in the Data Warehouse Based on relational databases. the design concept of the star co

Data warehouse and data mining are two big concepts. They are very mature in foreign countries. In China, with the accumulation of enterprise data and the maturity of ERP in the past few years, data warehouse and

Data Data Warehouse Learning Experience A Concept 1. Data Warehouse: Refers to the theme-oriented, consistent, different time, stable data collection, to support the management of the decision support process. In a broad sense,

or external customers of enterprises often produce nonstandard data on these systems. To ensure data qualityETLWhen a large number of review steps are addedETLThe process is complicated and the performance will also decrease. ETLUse different policies in different environments and applications to balance performance and quality. Tips for Data

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