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INSY 3304 - The University of Texas at Arlington
INSY 3304 - The University of Texas at Arlington

... management of large databases in a corporate environment. Course Description: This course covers concepts, tools, and technologies associated with the design, implementation, and management of large databases. The focus is on relational DBMS and the associated concepts. Different database models are ...
ActiveObjects
ActiveObjects

... type. This is how the EntityManager can dynamically create an instance of an arbitrary Entity subinterface. In fact, the instance created by EntityManager is extremely special in that it will dynamically parse all method calls, attempting to proxy the relevant calls down to the database. This is how ...
Extracting Domain Semantics for Knowledge Discovery in Relational
Extracting Domain Semantics for Knowledge Discovery in Relational

... In discovering knowledge from an existing database, a major difficulty is that often the meaning of the data has been lost during various evolutions and modifications of the database over many years by many persons. No one may know exactly what the data and the relationships between the data really ...
The Relational Data Model: Fundamental Operations
The Relational Data Model: Fundamental Operations

... • Now that we’ve looked at the structure of a relational database, we will look at its fundamental operations — that is, what you can do with that database. • We can think of relational operations on multiple levels: – Pure mathematical abstractions: this would be the relational algebra, and if you ...
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... database, by ensuring that authorized changes to the database do not result in a loss of data consistency.  Domain constraints are the most elementary form of integrity ...
The Application Model
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... Over the past few decades, the architecture of applications, especially large enterprise, have evolved from single-tier to n-tier designs. The driving force for this change has been the following general goals: scalability, separation and encapsulation of functionality, maintainability, multi-user s ...
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attachment=39904

... Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rap ...
380E_SP16_Week9
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... make up an Open Archival Information System (OAIS). • It allows existing and future archives to be more meaningfully compared and contrasted. • It provides a basis for further standardization within an archival context and it should promote greater vendor awareness of, and support of, archival requi ...
Database System Concepts, 5th Ed
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... constructs to deal with added data types. „ Allow attributes of tuples to have complex types, including non-atomic ...
SQL Server 2000
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JRS New and Noteworthy Sprint 3
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... Component), the synchronization of application data into the repository is much faster then in the past. This integration with SQL based queries is also part of the Query Builder support, so for most people it is not necessary to understand SQL in order to construct queries. ...
Database Intrusion Detection with Automated Recovery
Database Intrusion Detection with Automated Recovery

... matching node (say u) with same quadruple. If such a node is not found the transaction is labeled malicious or else proceed again with the next transaction. For the next transaction simply check all the nodes ‘v’ such that there is an edge between ‘u’ and ‘v’. This way malicious transactions can be ...
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Integrating Multiple Web Sources

... – XML base integration approach – Current focus on multiple information sources integration – Tools for data extraction and Data Integration Engine Market focus: CRM, Business Intelligence, B2B, Portals ...
WareHousePoster2 - Networked Software Systems Laboratory
WareHousePoster2 - Networked Software Systems Laboratory

... emphasized the working procedures and the project management. We have set a clear timelines and milestones, defined a defects handling procedures, etc. In addition, we have written many wiki pages to help documenting our work. Like in real life projects, the system security was one of our top concer ...
Normalization
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... Database Normalization  Database normalization relates to the level of redundancy in a relational database’s structure.  The key idea is to reduce the chance of having multiple different version of the same data.  Well-normalized databases have a schema that reflects the true dependencies betwee ...
Distributed database - GCG-42
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... An implementation done as diploma thesis by D. Aleksovski Java based, open framework Initial purpose: analyze Java code Allows easy extension ...
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... Geographic Information Systems (GIS) Data Warehouses Real-time and Active Databases Many other applications ...
BioSem
BioSem

... Consider the PD case study that used ontological approach to querying distributed databases. Discuss 10 reasons of using this approach as opposed to common SQL query and relational database approach. Why is Google, Yahoo or MSN search not good enough for searching biological database? Discuss centra ...
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... visualisation. These experiments were carried out using programs written in SQL, Java and the Native interfaces offered by the DataBlade and Informix APIs respectively. ...
DATA WAREHOUSING
DATA WAREHOUSING

Evolution of Database Technology
Evolution of Database Technology

... Online Databases: Transition from handling transactions in daily batches to systems that managed an on-line database that captures transactions as they happened. ...
04_VDB_encyc_cpt - NDSU Computer Science
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... hence requiring a surrogate key to be associated with each att ribute of each record in the database. Attribute -level vertical decomposition is also used in Remotely Sensed Imagery, e.g. Landsat Thematic Mapper Imagery, where it is called Band Sequential (BSQ) format. Beyond attribute -level decomp ...
Relational Databases - CSE Buffalo
Relational Databases - CSE Buffalo

... COUNT(A): the number of all values in the column A (with duplicates) SUM(A): the sum of all values in the column A (with duplicates) AVG(A): the average of all values in the column A (with duplicates) MAX(A): the maximum value in the column A MIN(A): the minimum value in the column A. ...
Mining Spatial and Spatio-temporal Patterns in Scientific Data
Mining Spatial and Spatio-temporal Patterns in Scientific Data

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Database model



A database model is a type of data model that determines the logical structure of a database and fundamentally determines in which manner data can be stored, organized, and manipulated. The most popular example of a database model is the relational model, which uses a table-based format.
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