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Flashback Transaction Query
Flashback Transaction Query

...  Data in the tables and all associated objects (indexes, constraints, triggers, etc.) are restored ...
Data Management and Database Technologies - Indico
Data Management and Database Technologies - Indico

... : for each non-key attribute A that depends upon another non-key attribute B create a new table : create PK of the new table as attribute B : create a FK in the original table referencing the PK of the new table ...
Lecture 2
Lecture 2

...  A data type represents a constraint placed upon the interpretation of data in a type system, describing representation, interpretation, legal operations and structure of values.  Data types are a way to limit the kind of data that can be used by a particular program or stored in a database table. ...
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Title goes here

... – Batch multiple commands with DataAdapter or implement direct database interactions through SPs – Use binary remoting format for Dataset serialization ...
Relational Algebra - KFUPM Faculty List
Relational Algebra - KFUPM Faculty List

... query. Individual values within a tuple are terminated by a colon. The simplest query form is useful to display the database contents. More complicated relational algebra queries involve one or more applications of one or more of the several operators such as select, project, times, join, union, etc ...
Servlet Mediator
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...  With using HTTP calls to simulate IIOP is relative slower than using firewalls dedicated for CORBA, as we need to do many extra works to initialize the servlet, to convert parameters to XML format, invoke the servlets to work, etc. ...
Lecture 5
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... • Because there is little control or management of data, management will have no knowledge of who is accessing or even making changes to the organization’s data. Lack of data sharing and availability: • Information cannot flow freely across different functional areas or different parts of the organi ...
PPT file
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... Following notation is commonly used: •A relation schema R of degree n is denoted by R(A1, A2,…,An). •An n-tuple t in a relation r(R) is denoted by t = , where vi is the value corresponding to attribute Ai. The components values of tuples are denoted as: •Both t[Ai] and t.Ai refer to t ...
sql_i
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Queries management: Interfacing SAS with in-house EDC application
Queries management: Interfacing SAS with in-house EDC application

... In fact, even if on-line controls are cost-saving due to the limitation of errors at the time of data entry, the implementation of complex controls becomes rapidly cumbersome in EDC platforms. On the other hand, bias that could result from exhaustive on-line controls can be subject to controversy. S ...
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ER diagram of Staff and Branch entity types Relationship Types

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SQL - bYTEBoss
SQL - bYTEBoss

... •Very simple model. •It is the Abstract model that underlies SQL. By using the relational approach, the logic representation(the program) is separated from the physical implementation of the database. This makes the development of programs more effective and less dependent on changes in the physical ...
Chapter 8 - cda college
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... – SQL statement is not known in advance, but instead is generated at run time – Program can generate SQL statements at run time that are required to respond to ad hoc queries – Attribute list and condition are not known until end user specifies them – Tends to be much slower than static SQL – Requir ...
Database
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... 500 used XML in at least one pilot project in 2000, and in at least one application integration project by the end of 2001 According to International Data Corp., the market for XML servers and databases was $390 million in 2001 and will be $3.7 billion by 2005 Source: Language Lessons by Charles Bab ...
Class 14 - Turning Wheel
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... • J++ is targeted towards people building Windows based corporate intranets. • J++ is OOP which makes it better than languages such as Vbasic. ...
Multi-Dimensional OLAP
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... results by switching rows and columns. The report writers do not provide aggregate navigation. Once the report is formatted and run, you cannot alter the presentation of the result data sets. Spreadsheets are still cumbersome for showing all the aggregate levels and multidimensional views, let alone ...
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... What do they do differently ? How are they perceived by management ? Do they have more respect than us ? What software do they use ? Why are they seen as more productive ? ...
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... Completeness, Timeliness, Consistency With the advent of networks, sources increase dramatically, and data become often “found data”. Federated data, where many disparate data are integrated, are highly valued Data collection and analysis are frequently ...
Database Processing
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...  All students will do some programming as part of the assignments.  For the final project, teams will be formed in ways to include students with diverse backgrounds. ...
Innovation, Implementation, and Integration: Building a DataWarehouse with SAS® Data Integration Studio and MS SQL Server
Innovation, Implementation, and Integration: Building a DataWarehouse with SAS® Data Integration Studio and MS SQL Server

... number. We have created a set of databases for each bank and these databases contain data for one bank only. In other words: We have used the bank number as basis for our data partitioning. Knowing that we do not have ETL flows that read data from one bank and updates another, we are able to ensure ...
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\documentstyle[widepage,doublespace]{article}

... Objective: Group WDBs into different clusters such that all WDBs in the same cluster are related to the same domain (e.g., sell the same type of products). Techniques: 1. First, construct a concept hierarchy. 2. Then apply one of the following techniques ...
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... VENDOR table contains vendors who are not referenced in the PRODUCT table. PRODUCT is optional to VENDOR. ...
Unbreakable Architecture - Oracle Software Downloads
Unbreakable Architecture - Oracle Software Downloads

... Primary database in Tokyo and standby database in Kyoto (229 miles and 7ms RTT) in Maximum Protection mode ensure no data loss even in the face of a disaster, with minimum performance ...
Introduction to GIS - University of Vermont
Introduction to GIS - University of Vermont

... that each pair of tables has a field in common, or “key”. In a relational database, the records are generally different in each table The advantages: each table can be prepared and maintained separately, tables can remain separate until a query requires connecting, or relating them, relationships ca ...
Event-Entity-Relationship Modeling In Data Warehouse Environments
Event-Entity-Relationship Modeling In Data Warehouse Environments

... Often, measurement facts are categorized along multiple dimensions in multi-dimensional information models. The measurement facts are represented by events like “sale”, “order”, “request”, “deposit”, “pay”, and “ship”. EVER supports modeling of information structures in terms of related entities and ...
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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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