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Chapter 1
Chapter 1

... 13.7 Database Access with ASP.NET and MySQL (continued) - Data-bound controls – data is fetched from a data source and bound to the properties of server ...
Language Integrated Query: An introduction
Language Integrated Query: An introduction

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MODELING MOVEMENT RELATIONS IN DYNAMIC URBAN SCENES
MODELING MOVEMENT RELATIONS IN DYNAMIC URBAN SCENES

... for video generalization are the ones describing the behaviors of the moving objects in time. We consider the spatiotemporal space of a scene as comprising two (x,y) spatial dimensions and one (t) temporal dimension. Object movements are identified by tracing objects in this 3-dimensional (x, y, t) ...
AWR Equivalent tools for MS SQL Server
AWR Equivalent tools for MS SQL Server

... Top worst performing TSQL Statements and statistics (execution time, logical/physical reads, lock and blocks etc..) Locks DeadLocks (Session details if possible) ...
Chapter 1
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... - Convenient for Web access to databases, because the Perl program can be run as CGI on the Web server system ...
Slide 2-1
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Modeling and Querying Moving Objects
Modeling and Querying Moving Objects

... In this paper we propose a data model called Moving Objects Spatio-Temporal (or MOST for short) for databases with dynamic attributes, i.e. attributes that change continuously as a function of time, without being explicitly updated. In other words, the answer to a query depends not only on the datab ...
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LESSON: Java DataBase Connectivity (JDBC)
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HALL, ACCOUNTING INFORMATION SYSTEMS
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Data Warehouse System
Data Warehouse System

... related to the design, maintenance, and operation of a data warehouse • Risks associated with ERP implementation • Key considerations related to ERP implementation • Internal control and auditing implications of ERPs • The leading ERP products and their distinguishing ...
Getting to Know the SQL Server Management Studio
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... traditional security measures. Chung et al. [6] presents a misuse detection system called DEMIDS which is personalized to relational database systems. This approach uses audit logs to derive profiles that describe typical behaviour of the users working with the DBS. The profiles computed can be used ...
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... popular modeling example of a file system adapted from [1]. The model, shown in Figure 2, consists of a series of paragraphs, each specifying a signature, a fact, a predicate, or an assertion. Signatures realize the notion of type or class in Alloy and denote sets of atoms. Similarly to object-orien ...
Chapter 3 - Relational Model
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... In some circumstances we would like to apply aggregate function not only to the single set of tuples but to several groups, where each group is set of tuples Can be done by using an operation called Grouping Denoted by aggregation operator Ç G1, G2, . . ., Gn ÇF1 A1, F2 A2, . . ., Fm Am ( E ) Where, ...
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NetPlus White Paper

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ad44319 approaches for updating databases wit v
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... augmented. Set nulls can be updated by eliminating some alternatives front the sets. Additional predicates, such as marked nulls, can be imposed on the database. The first step in processing an update is to deter- ...
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Versant Object Database



Versant Object Database (VOD) is an object database software product developed by Versant Corporation.The Versant Object Database enables developers using object oriented languages to transactionally store their information by allowing the respective language to act as the Data Definition Language (DDL) for the database. In other words, the memory model is the database schema model.In general, persistence in VOD in implemented by declaring a list of classes, then providing a transaction demarcation application programming interface to use cases. Respective language integrations adhere to the constructs of that language, including syntactic and directive sugars.Additional APIs exist, beyond simple transaction demarcation, providing for the more advanced capabilities necessary to address practical issues found when dealing with performance optimization and scalability for systems with large amounts of data, many concurrent users, network latency, disk bottlenecks, etc.
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