data granularity in data warehouse

, 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

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by

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

The construction process and method of data warehouse system is different from the process and method of building the traditional operation type processing system, the construction of Data Warehouse system has two difficulties: first, how to guarantee the data quality, make

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

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

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

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

Number of materialized views synchronized 1. The purpose is to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, the method of regularly refreshing the Materialized View Number of materialized views synchronized 1. The purpose is to synchronize some data in th

A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong

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

Export data from data warehouse to word‑excel‑.txt using system; Using system. Data; Using system. drawing; Using system. Data. sqlclient; Using Excel; Using word; Using system. IO; Namespace common{/// /// Import data to the .

This course aims to achieveIn the SQL Server Enterprise ManagerData conversion Service (DTS) designerCreate an analysis services processing taskTo achieve automatic extraction, conversion, and filling of the data required by the Data Warehouse-------------------------------(For details, refer toCreate an analysis services processing task)This example is as follow

Multidimensional Analysis operations for OLAP include drillthrough (roll up and drill down), slices (slice) and dice (dice), and rotation (pivot), drill across, drill through, and so on. * Drill-through is to change the dimension of the level, transformation analysis of granularity. It consists of an upward drilling (roll up) and a downward drill (drill down). Roll up is a dimension that summarizes low-level detail

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

Materialized View synchronization count 1. Usage Now we need to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, we need to regularly refresh the materialized view for data synchronization. 2. Overall Implementation ideas L create a dblink to access the remot

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,

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

enough to reflect a problem. For normal video learning, we should take it seriously and make a summary. We should not be lazy when doing this. After all, we really don't have such a good brain, multi-Summary and multi-summary. Another piece of content is also learned from Shijie. When we clear the text box, we can use a method to traverse the control: 'Declare a control dim TXT as Control' to traverse each control for each TXT in me. controls' if the control type is textbox if typeof txt is tex

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