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2.0 The Background of Database Systems
2.0 The Background of Database Systems

... This segment proposes different architectures for database systems. The centralized, distributed, parallel, and web-based designs are presented each with its strengths and weaknesses and the concrete reasons for their selection. The segment recommends using web enabled centralized databases unless t ...
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... a host language, and the SQL structures permitted in the host language comprise embedded SQL.  The basic form of these languages follows that of the System R embedding of SQL into PL/I.  EXEC SQL statement is used to identify embedded SQL request to the preprocessor EXEC SQL
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... not specify a query execution plan. • A relational algebra expression is procedural – there is an associated query execution plan. • Solution: Convert SQL query to an equivalent relational algebra and evaluate it using the associated query execution plan. – But which equivalent expression is best? S ...
Le forme di mercato - European Virtual Museum
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Supported Operating Systems, Databases and Associated Drivers
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... correspondingly more difficult to use DBMS. Filemaker also more easily generalizes from one to hundreds of users, whereas Access is limited to only several users at a time. Large companies and organizations run their database systems on mainframe computers. Examples include airline reservation syste ...
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Fund Finder Wrapper: A case study of database-to-ontology mapping

... correspondences between components of two models. A mapping can be defined at different levels. In our case, it will be defined at the implementation level between a database’s SQL description and an ontology’s implementation. Furthermore, the intended direction of the mappings is from the database ...
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... Copyright © 2012, Oracle and/or its affiliates. All rights reserved. ...
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An Architecture for Automatic Relational Database System Conversion
An Architecture for Automatic Relational Database System Conversion

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INT7016 – Contemporary Issues in Database Development

... checkpoint (CKPT) process has been started, in which case it will perform this task. • The parameter LOG_CHECKPOINT_TIMEOUT is used to determine the interval of time between checkpoints. • The parameter LOG_CHECKPOINT_INTERVAL is used to determine how many redo file blocks must be filled since the p ...
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... Step 5.1 Analyze Transactions To focus on areas that may be problematic: (1) Map all transaction paths to relations. (2) Determine which relations are most frequently accessed by transactions. (3) Analyze the data usage of selected transactions that involve these relations. ...
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Hibernate Vs JDBC - Mindfire Solutions

... By database versioning one can be assured that the changes done by one person is not being roll backed by another one unintentionally. Hibernate enables developer to define version type field to application, due to this defined field Hibernate updates version field of database table every time relat ...
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Concurrency control

In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible.Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules. When components that operate concurrently interact by messaging or by sharing accessed data (in memory or storage), a certain component's consistency may be violated by another component. The general area of concurrency control provides rules, methods, design methodologies, and theories to maintain the consistency of components operating concurrently while interacting, and thus the consistency and correctness of the whole system. Introducing concurrency control into a system means applying operation constraints which typically result in some performance reduction. Operation consistency and correctness should be achieved with as good as possible efficiency, without reducing performance below reasonable levels. Concurrency control can require significant additional complexity and overhead in a concurrent algorithm compared to the simpler sequential algorithm.For example, a failure in concurrency control can result in data corruption from torn read or write operations.
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