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Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

...  Nested relations are an example of collection types  Structured types  Nested record structures like composite attributes  Inheritance  Object orientation  Including object identifiers and references  Our description is mainly based on the SQL:1999 standard ...
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Introduction To Business Intelligence

... • In a cube, a measure is the set of values, usually numeric, that are based on a column in the fact table in the cube. • A measure group contains one or more or all the measures from a single fact table. It can’t contain measures from different fact table. ...
Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

...  Nested relations are an example of collection types  Structured types  Nested record structures like composite attributes  Inheritance  Object orientation  Including object identifiers and references  Our description is mainly based on the SQL:1999 standard ...
Chapter 3 Effects of IT on Strategy and Competition
Chapter 3 Effects of IT on Strategy and Competition

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Data sheet: Oracle NoSQL Database Community Edition
Data sheet: Oracle NoSQL Database Community Edition

... system knows about the capacity for the storage nodes in a configuration, it automatically allocates replication nodes intelligently. This results better load balancing for the system, better use of system resources and minimizing system impact in the event of storage node failure. Smart Topology al ...
Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

...  Nested relations are an example of collection types  Structured types  Nested record structures like composite attributes  Inheritance  Object orientation  Including object identifiers and references ...
Publisher
Publisher

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Discovery Robust Knowledge from Databases that Change

... Data set continuously updated with diagnostic or calibration information Predictive failure rules used to dictate system resource planning ...
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... This is the key for accessing most of the database objects (such as tables, columns, and so on). 3. java.sql.Statement: The Connection object creates Statement objects. You can use the Statement object to execute SQL statements and queries, which produce ResultSet objects (the result of executing SQ ...
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... individual tables, collections of tables, views, or partitions of tables according to pre-defined schedule. ...
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...  Updating by multiple computers: allows multiple updates on the same data at multiple sites – Three types of distributed update conflict can occur: • Loss of uniqueness • Lost updates due to concurrent transactions • Updates of deleted data ...
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... broadly for ‘anyone who uses an Oracle database to solve business problems.’ An analyst’s main interest in the database is to solve business problems that have data-driven solutions. An analyst may be lucky enough to receive a mapping that includes tables, variable names, relationships, and definiti ...
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...  An insertion into loan requires a value for amount. The insertion can be dealt with by either.  rejecting the insertion and returning an error message to the user.  inserting a tuple (“L-37”, “Perryridge”, null) into the loan relation  Some updates through views are impossible to translate into ...
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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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