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Document
Document

... Define source and revision control Discuss coding standards Define code optimization Define and use a test assessment plan Discuss application testing both before and after deployment ...
Object/Relational Access Layers
Object/Relational Access Layers

CSO_Gaddis_Java_Chapter16
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... – well suited for applications that store only a small amount of data – not practical for applications that must store a large amount of data – simple operations become cumbersome and inefficient as data increases ...
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... Evolution Effects • SW artifacts around the DBMS are affected: – Syntactically – i.e., become invalid – Semantically – i.e., query must conform to the new source database semantics ...
Chapter 7: Relational Database Design
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... Example: Strings would normally be considered indivisible ...
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...  Data manipulation or data modification language (DML) commands are SQL commands that retrieve, insert, update, and delete table rows in an Oracle database. The four basic DML commands are SELECT, INSERT, UPDATE, and DELETE. Subsequent sections of this chapter provide you with a thorough introduct ...
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... The DBMaker distributed database environment builds on the traditional client/server architecture, effectively linking multiple client applications and multiple database servers. Client applications process user requests and display the results, and the database servers handle data management. Each ...
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... It is possible for an HP Vertica database to have more than K nodes fail and still continue running safely, because the database continues to run as long as every data segment is available on at least one functioning cluster node. Potentially, up to half the nodes in a database with a K-safety level ...
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... • With CASCADE, all related dependent objects are deleted; i.e. any views defined on view being dropped. • With RESTRICT (default), if any other objects depend for their existence on continued existence of view being dropped, command is rejected. ...
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... when E1 is generated from E2 by an equivalence rule, usually only the top level of the two are different, subtrees below are the same and can be shared using pointers ...
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... Types of SQL Commands The four primary categories of SQL commands are DML, transaction control, DDL, and DCL commands.  Data manipulation or data modification language (DML) commands are SQL commands that retrieve, insert, update, and delete table rows in an Oracle database. The four basic DML com ...
here. - NYU Computer Science
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... action that occurs between entities  Binary versus n-ary relationship sets Although it is possible to replace any nonbinary (n-ary, for n > 2) relationship set by a number of distinct binary relationship sets, a nary relationship set shows more clearly that several entities participate in a single ...
pptx
pptx

... ◦ SPARQL ◦ Only a part of the mapping result is accessed ◦ No additional storage medium is required (i.e. no materialization) ◦ Rewriting of a SPARQL query to an SQL one ◦ SQL results transformed back to SPARQL results ◦ Aka. query-driven access ...
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...  Primary medium for the long-term storage of data typically stores entire database. Data must be moved from disk to main memory for access, and written back for storage  Much slower access than main memory (more on this later) direct-access – possible to read data on disk in any order, unlike magn ...
original - Kansas State University
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... $d in /bank/depositor where $a/account_number = $d/account_number and $c/customer_name = $d/customer_name return { $c $a }  The same query can be expressed with the selections specified as XPath selections: for $a in /bank/account $c in /bank/customer $d in /bank/depositor[ ...
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... ANOMALIES EXAMPLES TABLE: COURSE COURSE# ...
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PDF file - Jim Gray
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... III. Significance of TPC-D’s Database Focus TPC-D is first and foremost a database benchmark, whose intent is to simulate ad hoc queries that provide answers to real-world business questions. [Transaction Processing Performance Council, 1997] Performance in TPC-D is especially influenced by the inte ...
MS with Concentration in Bioinformatics
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... first two semesters. An applicant whose Bachelor's degree is not in Computer Science or a related area and who has exceptional experience in Computer Science also may be considered for conditional admission on an individual basis. Such applicants must have a minimum GPA of 2.75 and provide a written ...
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... filesystems for DB2 and AIX 2. Perform a complete offline backup for DB2 databases 3. FTP over the backup image to the new database servers 4. Perform a redirected restore from old hardware to new hardware after install version ...
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... case, the order clerk enters the last name, such as Adams. If several customers have a last name of Adams, the clerk can check other fields, such as address, first name, and so on, to find the correct customer record. After locating the correct customer record, the order can be completed and the clo ...
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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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