On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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Relational Database Design
Purpose of Normalization
Anomalies
Functional Dependencies
Normalization
Keys
SuperKey
a set of attributes whose values together uniquely identify a tuple in a relation
Candidate Key
a superkey for which no proper subset is a superkey…a key that is minimal .
Can be more than one for a relation
Primary Key
a candidate key chosen to be the main key for the relation.
One for each relation
Keys can be composite
Normalization
Nor ....etc

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Fragile Watermarking Scheme for Relational Database


Existing System

Database integrity has long been considered one of the three pillars in the database security arena, together with authentication and authorization (access control).

But the research of database integrity mainly focuses on semantic integrity constraints, which are rules defining the correct states of the database. Traditional approaches use verification information such as message authentic ....etc

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Definition

The term On-Line Analytical Processing (OLAP) was coined by E.F. Codd in 1993 to refer to a type of application that allows a user to interactively analyze data. An OLAP system is often contrasted to an OLTP (On-Line Transaction Processing) system that focuses on processing transaction such as orders, invoices or general ledger transactions. Before the term OLAP was, coined, these systems were often referred to as Decision Support Systems.
OLAP is now acknowledged as a key technology for successful management in the 90's.It descr ....etc

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Abstract
In this paper the various tactics for query processing in INGRESS are empirically evaluated on a test bed of sample queries.
1. Introduction
In Ref. 5 we presented a general strategy for query processing known as decomposition, which had been designed for the nonprocedural query language QUEL2 and was in the process of being implemented in the relational database management system INGRESS. 4 In this approach the problem of dealing with a multi-relational query is separated into two
stages. First, a query which refere ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

[:=Read Full Message Here=:]