Original address
I. Definition of metadata
According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of
Follow the public number: Focusbi See more articles; Add QQ Group: 808774277 Get learning materials and explore issues together. Business Intelligence Tutorial PDFLink: https://pan.baidu.com/s/1f9VdZUXztwylkOdFLbcmWw Password: 2r4vData Warehouse is the core of decision support system, it is the decision-making process for all levels of enterprise, it provides the strategic, tactical and operational collection of all kinds of
China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level data
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse
Concept of data warehouse. With the intensification of market competition and the development of the information society, it is increasingly important to extract (retrieve, query, and so on) information from a large amount of data to develop market strategies. This requirement requires that, with the intensification of market competition and the development of th
Microsoft's Parallel Data Warehouse (Parallel data Warehouse, abbreviated PDW) was released last year with SQL Server 2008 R2, designed to compete with Oracle Exadata and Teradata. PDW a true sense of the ability to mix workloads, users can extend data from multiple physical
insufficient data access capabilities, its access performance to a large amount of data is significantly reduced.
With the maturity of C/S technology and the development of parallel databases, the development trend of information processing technology is from a large number
The transaction database extracts data and clears and converts it to a new storage fo
. With the development and refinement of this process, the special data that supports decision making
Storage is called a data Warehouse (Warehouse, DW).
W. H. Inmon The Data Warehouse is defined as a
We recommend that you read and understand the following articles:
◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and
The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res
-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for
Building a real data warehouse in a data warehouse may be a huge project. There are many different devices, methods, and theories. What is the greatest common value? What are facts and what are theme related to these facts? And how do you mix, match, merge, and integrate systems that may have existed for decades with s
Perhaps many people understand that the data warehouse is built on the basis of multidimensional data model for OLAP data platform, through the previous article-the basic architecture of the data Warehouse, we have seen that the
this process, such decision-making and special data storage is called Data Warehouse (DW ).
W. H. Inmon defines a data warehouse as a topic-oriented, integrated, stable, and time-varying data set that supports management decisio
Design | data
End Users
The end users are whom you are designing and building the Data Warehouse for? Your customers. They rely on the information They extract, the warehouse in order to work more effectively and efficiently. They also ultimately determine whether or not your Data
, good and standardized programming habits, and technical document writing habits;
Strong sense of responsibility, good cooperation spirit, learning and communication skills;
Understand the knowledge and concepts related to business intelligence (BI) product development;
Experience in data warehouse or bi project development is preferred.
Bi Data
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
Welcome to the Oracle community forum, and interact with 2 million technical staff to access the data warehouse. different data sources must be obtained from different data sources, in addition, this huge amount of data is converted into available
1. Introduction
Microsoft SQL Server 2008 provides a comprehensive data warehouse platform. It allows you to build and manage your data warehouse using a separate, integrated suite of products, and allows you to provide insights to your users. It can meet the needs of the largest enterprise and give your end users and
Before you start spraying this topic, let's take a look at the official definition of the Data warehouse:数据仓库(Data Warehouse)是一个面向主题的(Subject Oriented)、集成的(Integrate)、相对稳定的(Non-Volatile)、反映历史变化(Time Variant)的数据集合,用于支持管理决策。以上是数据仓库的官方定义。"Operational database" such as the Bank accounting system database, every business op
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