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... one. So the label “semantic” must not be interpreted in any absolute sense. Moreover, database models developed earlier (and sometimes attacked as “syntactic”) were not devoid of semantic features (take domains, keys, and functional dependence,for example). The goal is nevertheless an extremely impo ...
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Dimension Build - dbmanagement.info

... 6. For the ProductTypeCode attribute, select the Id check box. 7. For the ProductType attribute, select the Caption check box. 8. For the ProductLineCode attribute, select the Parent check box. When you execute a build, DecisionStream creates links between a level and its parent by matching the Pare ...
Oracle Database 10g
Oracle Database 10g

... Oracle8 was introduced in 1997 with larger size limitations and management features, such as partitioning, aimed at very large database implementations. In 1998, Oracle announced Oracle8i, which is sometimes referred to as Version 8.1 of the Oracle8 database. The i was added to denote added function ...
Using AlwaysOn Availability Groups for High Availability and
Using AlwaysOn Availability Groups for High Availability and

... on the new primary node is not an ideal situation for the unplanned failover scenario as it hinders high-availability of the DQS application. To work around this, you can setup a SQL Server Agent job that polls the replica status, and detects when its node has become a primary node, and then automat ...
Database Design Section The Second Data Models
Database Design Section The Second Data Models

... • Size - For sheer speed of manipulation, for the typical object size less than 1MB, Books Online suggests using storage in a varchar(max). If objects are going to be more than 2GB, you must use one of the filestream ...
Identifying Source Bottlenecks
Identifying Source Bottlenecks

... large tables should be cached As a general practice, do not use uncached lookups. In place of lookups, tables can be joined in the source qualifier. However, often necessitates left joins, which can complicate source qualifiers. Weigh performance vs ease of maintenance when deciding between source q ...
Auditing Compliance with a Hippocratic Database
Auditing Compliance with a Hippocratic Database

... whether an enterprise can use their data in an aggregation. Verifying that database accesses have been compliant with such user preferences is not possible given only a log of aggregated results. To address this issue, one might instead consider logging the tuples “read” by a query during its execut ...
WYSIWYG Development of Data Driven Web
WYSIWYG Development of Data Driven Web

... sequently, they are beyond the reach of the majority of users who lack this knowledge, but would nevertheless like to create and share their own custom applications. For instance, members of a book club in Yahoo! Groups may wish to create a custom application for managing their club events (since no ...
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The Design of an Interactive Computer Assisted System To

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1. Relational Model Concepts

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... 29. A thin client is a personal computer that does not have to be very powerful (or expensive) in terms of processor speed and memory because it only presents the interface (screens) to the user. Answer: True Page: 487 LOD: Easy 30. A fat client is a personal computer, notebook computer or workstati ...
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Heterogeneous / Federated / Multi-Database Systems
Heterogeneous / Federated / Multi-Database Systems

... • Global dictionary information is used to query and manipulate the data. The global language statements are translated into equivalent statements of the local languages supported by the local systems ...
Microsoft SQL Server 2012 Reporting Services
Microsoft SQL Server 2012 Reporting Services

... Some examples depicted herein are provided for illustration only and are fictitious. No real association or connection is intended or should be inferred. This document does not provide you with any legal rights to any intellectual property in any Microsoft product. You may copy and use this document ...
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... Cross-product of relation-list is computed; tuples that fail qualification are discarded; `unnecessary’ fields are deleted; remaining tuples are partitioned into groups by the value of attributes in grouping-list.  The group-qualification is then applied to eliminate some groups. Expressions in gro ...
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... and in case of a disaster they can be restored into the Primary database. The Standby database Control File can not be restored into a Primary database, but in case of a disaster the Standby database becomes the new Primary database (Failover) and the former Primary will become the Standby database. ...
Aalborg Universitet 3XL Xiufeng, Liu; Thomsen, Christian; Pedersen, Torben Bach
Aalborg Universitet 3XL Xiufeng, Liu; Thomsen, Christian; Pedersen, Torben Bach

... key is shown as a dotted arrow. For now, ignore the map and overflow tables which are explained later. Note how easy the schema from Example 1 is to use in SQL queries. This makes it easy to integrate the data with other data. Further, the user can exploit all the advanced functionality that the und ...
Joe Celko`s Complete Guide to NoSQL
Joe Celko`s Complete Guide to NoSQL

... layer has no way to know what will come back to it. These systems are optimized for retrieval, and the safety and query power of SQL systems is replaced by better scalability and performance for retrieval. Chapter 7: Textbases. The most important business data is not in databases or files; it is in ...
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Performance Guidance for SQL Server in

... • Setup default locations. • Enable locked pages. • Backup directly to blob storage. For more information, please follow the guidelines provided in the following sub sections. ...
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The Measured Performance of Database

... conditions are true: The query contains a U N I O N clause or a U N I O N A L L clause that affects many columns. The query contains several J O I N statements. The query has a large estimated cost. BUG 473858 (SQL Server 8.0) Gregory M. Kapfhammer ...
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Microsoft Jet Database Engine



The Microsoft Jet Database Engine is a database engine on which several Microsoft products have been built. A database engine is the underlying component of a database, a collection of information stored on a computer in a systematic way. The first version of Jet was developed in 1992, consisting of three modules which could be used to manipulate a database.Database connect for MicrosoftJET stands for Joint Engine Technology, sometimes being referred to as Microsoft JET Engine or simply Jet. Microsoft Access and Visual Basic use or have used Jet as their underlying database engine. It has since been superseded for general use, however, first by Microsoft Desktop Engine (MSDE), then later by SQL Server Express. For larger database needs, Jet databases can be upgraded (or, in Microsoft parlance, ""up-sized"") to Microsoft's flagship database product, SQL Server.However, this does not mean that a MS Jet (Red) database cannot match MS SQL Server in storage capacity. A 5 billion record MS Jet (Red) database with compression and encryption turned on requires about 1 terabyte of disk storage space, comprising hundreds of (*.mdb) files, each acting as partial table, and not as a database in itself.Over the years, Jet has become almost synonymous with Microsoft Access, to the extent that many people refer to a Jet database as an ""Access database"".
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