indexing in data warehouse

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Discussion on data modeling methods in data warehouse construction

Introduction:The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in data warehouse construction projects. We hope to help you summarize a set of methods that meet the current industry standards and meet the data

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out.Terms:BI (Business Intelligence): Business Intelligence,DW (Data Warehouse): Data Warehouse. For details, see section Q1.OLTP (On-Line Transaction Processing): online Transaction ProcessingIt is also known as a transaction-oriented processing system. Its b

Flexible and effective data warehouse solutions: Part 1: customer interaction and Project Planning

Adopt flexible and effective methods to plan, design, and implement Basic Data Warehouse solutions based on IBM DB2 Data Warehouse Edition. Part 1 of this series will focus on the customer interaction process and plan data warehouse

Some basic concepts of data warehouse and data mining

The following is an excerpt from the Internet and collated.Noun:BI (Business Intelligence): Commercial Intelligence,DW (Data Warehouse): Warehouse, see the Text Q1 section.OLTP (on-line Transaction processing): Online transaction processingAlso known as the transaction-oriented processing system, its basic characteristic is that the customer's raw

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste

The sharp weapon of Telecom enterprises ' participation in competition-data warehouse and data mining

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

Data Warehouse--digging in "beer and diapers"

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

Index of data related to data warehouse

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

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)Course category: data and data warehouseSuitable audience: elementaryLesson count: 76 lessonsTechnologies used: Data

My view of Data Warehouse (design article)

Design | Data building Data Warehouse What do you want to do? Generally, there are two main areas of data Warehouse construction: 1. Interface design with operational database. 2. The design of the data

Steps to build a data warehouse

Data warehouses are subject-oriented, integrated, non-updatable, and changing over time, which determines that the system design of a data warehouse cannot be designed with the same design method as the traditional OLTP database.The original requirements of the Data Warehouse

Data Warehouse theme design and metadata design

a common subject or business field. The following describes how to create an information package chart through information packaging technology to determine the topic and metadata in the data warehouse.3.4.1 information packaging technology1. Basic use of information packaging technology The information packaging method is a top-down design method, which focuses on one or more topics of an enterprise from

Implementation methods and steps of Data Warehouse Construction)

Data Warehouses are subject-oriented, integrated, non-updatable, and constantly changing over time, these features make sure that the system design of the data warehouse cannot be the same as that of the traditional OLTP database. The original requirements of the data warehouse

Talking about the nature of data warehouse and data mining

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

What is a data warehouse and its difference from traditional relational databases?

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 Warehousing Special Topic (6)-Data Warehouse, subject domain, topic concept and definition

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

Data Warehousing Special Topic (6)-Data Warehouse, subject domain, topic concept and definition

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

Data Warehouse construction and continuous improvement of data quality

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

OLTP data conversion to OLAP data Warehouse

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

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