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
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
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
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
Data Warehouse is a comprehensive technology and solution based on data management and application. The successful implementation of data warehouses has a significant impact on the cultivation of a culture of knowledge sharing. Currently, the data
The common dwh architecture is as simple as figures 2 and 3. Generally, for an enterprise, the data lifecycle is 5-7 years, especially for detailed data. The lower the data granularity level, the shorter the lifecycle, the higher the data granularity and the longer the lifecycle. For the flow account
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
Just a few days ago, a user participated in a job interview for an enterprise. He applied for the DBA of the company and was responsible for data analysis. This company successfully completed the process. Until the person in charge of the company. The owner only gave him an interview question: Let's talk about the differences between the database and the data warehouse
According to the Informix Data Warehouse System implementation methodology, we can divide the data warehouse implementation into the following steps:
1. Business Demand Analysis
Business Requirement analysis is the basis for data warehou
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?
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
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
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
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
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
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
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
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
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