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CS6362 1998 - Northumbria University
CS6362 1998 - Northumbria University

... – Prof. Norman Paton, Object Relational Databases, University of Manchester. Advanced Databases (CM036): Lecture # 4 (Object-Relational and Nested-Relational Databases ...
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... sample data falling in the same leaf. Some of the model tree induction systems are M5 [23], RETIS, [9], M5’ [27], HTL [26], TSIR [17], and SMOTI [18]. The last two systems are characterised by a tree structure with two types of nodes: regression nodes, which perform only straight-line regression, an ...
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Oracle Backup Methods
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... • Fills the gaps of Data Guard by replicating non-Oracle systems and source code as well as tables in NOLOGGING mode • Works best in conjunction with Data Guard by jointly reducing replication traffic and reducing or eliminating single points of failure • Significantly improves RTO and RPO CONS: • S ...
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... Heterogeneous database integration systems are computational models and software implementations. They provide a single, uniform query interface to data that are stored and managed in multiple, heterogeneous data sources [12][24].The goal of such systems is to provide database transparency to users ...
SOLVED PAPERS OF ICS PART-2 (Computer Science) LAHORE
SOLVED PAPERS OF ICS PART-2 (Computer Science) LAHORE

... An attribute or set of attributes that is basis for retrieval is known as secondary key. Secondary key can be a non-unique attribute. One secondary key value may refer to many records. An attribute or set of attributes that uniquely identify a row or record in a relation is known as primary key. A r ...
Simultaneous Pipelining in QPipe: Exploiting Work Sharing
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Chapter 8: Object-Oriented Databases Need for Complex Data Types
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... not considering analog-based systems, and those which disregard polyphony, as these systems tend to be quite different internally. We will focus on each system’s query format, database schema, and respective advantages and disadvantages. These restrictions set our focus on Semex [1] and a system by ...
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... which are independent of each other  E.g. temporary/permanent is independent of Officer/secretary/teller  Create a subclass for each combination of subclasses – Need not create subclasses for combinations that are not possible in the database being modeled  A class inherits variables and methods ...
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...  Relational DBMSs (1980s)  Edgar F. Codd's relational model in 1970  Set of tuples (i.e., tables) as data model  Powerful high-level query language  Object-Oriented DBMSs (1990s)  Motivated by “impedance mismatch” between RDBMS and OO PL  Persistent types in C++, Java or Small Talk  Issues: ...
Chapter 8: Object-Oriented Databases
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... which are independent of each other " E.g. temporary/permanent is independent of Officer/secretary/teller " Create a subclass for each combination of subclasses ...
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... Constraints determine which values are permissible and which are not in the database. They are of three main types: 1. Inherent or Implicit Constraints: These are based on the data model itself. (E.g., relational model does not allow a list as a value for any attribute) 2. Schema-based or Explicit C ...
Multi-Dimensional Clustering: a new data layout
Multi-Dimensional Clustering: a new data layout

... some multidimensional cube form [2]. A request to find regions in this cube is easily satisfied by OLAP systems. However, these systems usually suffer from sparsity and scalability problems. OLAP systems organize data by maintaining a physical cell for each possible dimension combination. When data ...
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SQL Azure Presentation

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FederatedDataWarehouse

... ....a uniform access to autonomous and heterogeneous information sources. Furthermore, information sources may be classified as structured, as for instance relational databases, semi structured, i.e. web pages in HTML source, or de structured (text or images) The basic components of a FIS are [12] f ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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