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
Oracle Financial Services Application (OFSA) technical platform: includes Oracle Warehouse Builder Data Warehouse building tool, Oracle8i Database, Oracle Express multi-dimensional database, Common Warehouse Metadata Common Data Warehous
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
The following describes the functions and usage of the DB2 data warehouse center. If you are interested in the DB2 data warehouse, take a look.
DB2 on Windows and AIX comes with a data warehouse center. This free tool provides a
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
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
-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
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
A data warehouse (DW) cleans, extracts, and transforms a large amount of traditional database data for transaction processing, and reorganizes the data according to the needs of decision topics. A large number of organizations have discovered that in today's competitive and fast-growing world,
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
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
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
Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright
Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength
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