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UNIT II DATA WAREHOUSING Data ware house – characteristics
UNIT II DATA WAREHOUSING Data ware house – characteristics

... large scale. Most of today’s applications are based on this interaction methodology, with implementations of centralized or descentralized systems. OLTP database and operations On the database level, these transactional systems base their operation on multi-access, fast and effective querys to the d ...
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... As we showed in Section 2.3, when we pattern match on a proof, we introduce equations between values. In the same way that a Haskell type checker uses equations between types to check the branches of the eval function in Section 2.3, Agda’s type checker uses the equations between two values during t ...
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Accounting 3603 - University of Colorado Boulder

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... The idea of wrapping heterogeneous databases to provide a common interface for information integration is also well discussed ([15]). XML has been recognized as a good method for web-based information integration ([6]). More recently, XML based information mediation has been extensively studied in t ...
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... • The DBMS usually maintains the data dictionary. – It is often one of the first applications of a newly implemented database system. – Inputs to the dictionary include: • Records of new or deleted data elements. • Changes in names, descriptions, or uses of ...
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... This document assumes Oracle Fusion Middleware 11.1.1.4 [Oracle Weblogic Server 11gR1(10.3.4) & Oracle SOA Suite 11.1.1.4], Oracle Database XE, iTKO Lisa 5.0.24+ Virtualize Edition and the latest lisajdbcsim.jar. This document describes how to perform JDBC virtualization for SOA Composite applicatio ...
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... Define a relational database (Lecture a) Describe data modeling and normalization (Lecture b) Describe the structured query language (SQL) (Lecture c) Define the basic data operations for relational databases and how to implement them in SQL (Lecture c) • Design a simple relational database and crea ...
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Ultralog User`s Guide - Automated Home Online

< 1 ... 121 122 123 124 125 126 127 128 129 ... 492 >

Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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