elt data warehouse

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "

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

A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for e

A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for e

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

Microsoft's Azure Data Warehouse is a distributed system based on the MPP architecture:Control node is responsible for managing the system and accepting requests from users, Compute node is responsible for computing.Currently, Azure Data Warehouse has landed in the country. You can use the new portal page to manage it,

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

---note---Database Warehouse:1. Theme-oriented2. Data integration (cleanup)3. Time-variant of the database4. The non-volatile nature of data5. Support decision-making systemData Warehouse using parallel structureAdopt a new query optimization strategy and index structureDatabase warehouse conceptual model (

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

The previous article describes the backup and restore of SVN data in a Windows environment, and this article describes data migration under Linux environments. A preparatory work 1 Installation Environment 1 CentOS 7 2 available online 2 Software Requirements 1 WinSCP 2 PuTTy All of our command operations are on top of the putty, and the following is no longer emphasized, because the SVN environment of Linu

Tags: loading HBA datasets Organization development int checked Storage sub 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. (1) Topic-oriented: Index data