indexing in data warehouse

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ZT: A brief explanation of common nouns in data Warehouse

Data ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data

Data Warehouse--Data modeling (not finished) __dw

Ho, August See a colleague on the desktop there is a Data Warehouse Toolbox Third edition, this blog simply discusses the Data Warehouse modeling general process and modeling methods (mainly practical experience and network data integration) First describe the application

DataBase vs Data Warehouse

://en.wikipedia.org/wiki/Data_warehouse In computing, a Data Warehouse (DW or DWH), also known as an enterprise Data Warehouse (EDW), is a system used for reporting and data analysis, and are considered a core component of business Intellig ence. [1] DWs is central

Auto House Data Platform Architecture _ Data Warehouse

Auto House Data Platform architectureInternet Enterprise Data Warehouse construction is to use the bottom-up approach, or top-down approach. If you are an architect in the data division, how do you plan a data warehouse? At the 20

Initial Data Warehouse (warehousing)-"Lift Your Veil"

Data Warehouse (Data warehousing)-"set off your Hijab" I'm here to say some of my beginner's understanding and views, I hope these can be as a simple introduction to those novice friends, but also want to play a good effect. When it comes to data warehousing, let's take a look at the background he's producing. Since Db

Use db_link to create a materialized view and synchronize data to a data warehouse

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

The difference between a database and a data warehouse

Label:In short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is to avoid redundancy as far as possible, generally adopt the rule of conforming to the pat

The application of Sybase Data Warehouse technology in China Unicom Operation Analysis System

Application background China Unicom has a national scale of public telecommunications network, operating a variety of basic telecommunications business and value-added telecommunications services, the formation of mobile (GSM, CDMA), 193 long-distance, VoIP, 165 (Internet and E-commerce), paging, local calls, value-added services, such as a variety of business coexistence and common development pattern. How to give full play to Unicom's comprehensive advantages, to achieve flexible marketing st

Analysis of Data Warehouse equipment advantages and Limitations

With the advent of data warehousing equipment (Warehouse appliance), the potential of business intelligence and advanced analytics applications has been stimulated, and many enterprises will use the advantages of data warehousing technology to enhance their competitiveness. But not to say that integration equipment is omnipotent, it also has many limitations, acc

BI architecture and data warehouse design

BI architecture and data warehouse design (14:26:41)BI architecture and data warehouse design A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo

Overview of dimension model Data Warehouse base objects Concept

product Dimension has a product family, a large class, and a small class of three attributes, which defines [ classify layer level, take advantage of these three properties directly, That is, each level is a property of a member. The other is between the dimension members, such as hr , each level is a specific dimension member, that is, each level is one or more dimension members, Each level contains multiple properties. The latter level is often persisted in the database in a recursive man

Introduction to OSFA and data warehouse in Oracle

Oraclew.alservicesapplication (OFSA) Technology Platform: Includes OracleWarehouseBuilder data warehouse building tool, Oracle8i Database, OracleExpress multi-dimensional database, CommonWarehouseMetadata Common Data Warehouse metadata management tool, OracleInternetDevelopSuites Business Intelligence Oracle Financial

One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model

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

Use partitions in SQL Server 2000 Data Warehouse

The partition view joins the horizontal partition data from a group of Members to make the data look like it is from the same table. SQL Server 2000 distinguishes the local partition view from the distributed partition view. In the local partition view, all related tables and views reside on the same instance of SQL Server. In the distributed partition view, at least one table in the relevant table resides

Data Warehouse Integrated Equipment Selection Guide

Choosing the right Data warehouse technology is never easy. Whether the traditional enterprise Data Warehouse software or the current very popular data Warehouse integration equipment, how to choose the right solution to meet the

Data Warehouse Series: The three types and prototype design of the common slow-changing dimension

In the process of extracting data from an OLTP business database to a DW data warehouse, especially after the first import, the problem is that some data in the business database has been changed to reflect these changes to the Data ware

Wikipedia-differences between data warehouse, data mining, and OLAP

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

Software function Comparison of nine large data warehouse development

What are the data warehousing solution software available for selection in the market? What difference does it have? Can you analyze and compare their performance and characteristics? Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acquisitions or research and development). Professional software companies such

Database and Data Warehouse

intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only

AWS pushes the data warehouse service Redshift price only for TeradataIBMOracle

[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata. [CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazo

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