EXPERIMENT NO 2 FACT TABLE FOR UNIVERSITY DATABASE AIM:-Creation of dimension table and fact table for University Database. THEORY:- DIMENSION TABLE In data warehousing‚ a dimension table is one of the set of companion tables to a fact table. The fact table contains business facts or measures and foreign keys which refer to candidate keys (normally primary keys) in the dimension tables. Contrary to fact tables‚ the dimension tables contain descriptive attributes (or fields) which are typically
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of a Relational Database Benefits of a relational database: https://www.sunadal.co.uk/db.php Advantages of using a relational database: http://pic.dhe.ibm.com/infocenter/tivihelp/v3r1/index.jsp?topic=%2Fcom.ibm.itnetview.doc%2Fanmdbmst18.htm Relational Database Systems: http://www.orafaq.com/wiki/Relational_Database_Systems Three main benefits of a relational database are report generation‚ data storage‚ and data integrity. When putting information in a relational database the possibilities
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A. Database concepts 1 Basic SQL Command: SQL commands which are worth knowing : TRIM (for stripping spaces) LEFT (for fetching the data from left side of string) RIGHT (for fetching the data from right side of string) REPLACE (for replacement in string) CONVERT (for converting data from one type to another) LEN (for fetching length of string) STUFF (way to insert one string into another) DIFFERENCE (diff between two strings return 4 represents no diff or strong similarity)
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Truck Maintenance Database for Huffman Trucking Entities and Attributes Summary When using a database‚ the most important step is knowing how to use the table elements. The table defines the structure of the database based on its entities and Attributes. The entity is the object being stored and the Attributes describe information about the entity and its reason being documented. When using this table‚ one needs to first know how to access the database‚ table and forms
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Information for Database Design 1. Scope of Project 2. Project Identification 3. Database Overview 4. Document Overview 5. 7 Steps of the SDLC/DBDSL 6. The 3 Steps in Database Creation
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Warehouse A data warehouse is a database that stores current and historical data of potential interest to decision makers throughout the company.[1] In the Terrorist Watch List Database case‚ the information about suspected terrorists are consolidated and standardized from multiple government agencies so that the information can be centralized into a single list‚ from which different agencies can communicate and share information with each other. This centralized database is a specific example of data
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Information Systems for Business Database Assignment Sunway- Kuala Lumpar Semester 1‚ 2011 The database assignment is divided into two major sections. The first requires you to develop a database in Access 2007. Imagine that this is a prototype that will have four tables and some basic features such as forms‚ reports and queries. The second part is documentation that is used to describe the database you have produced to the client who has requested the database. In this latter Microsoft Word 2007
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Relational Database Management System Oracle provides a flexible RDBMS called Oracle7. Using its features‚ you can store and manage data with all the advantages of a relational structure plus PL/SQL‚ an engine that provides you with the ability to store and execute program units. The server offers the options of retrieving data based on optimization techniques. It includes security features that control how a database is accessed and used. Other features include consistency and protection of data
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For candidates admitted in Anna University of Technology‚ Chennai in 2010 ANNA UNIVERSITY ‚ CHENNAI - 600 025 TIME TABLE - B.E/B.Tech. /B.Arch. DEGREE EXAMINATIONS -May/ June - 2012 Page : 1 of 2 Date : 28-03-12 Semester No. Exam Date Day Branch 01 Session : Thursday Forenoon 10 A.M. to 1 P.M. 19/06/2012 Tuesday 21/06/2012 Thursday 376105 Architectural Drawing I 116101 Chemistry for Marine Engineering 183101 Engineering Chemistry - I Regulation : 2010 23/06/2012
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C h a p t e r 15 Object-Oriented Database Development L E A R N I N G O B J E C T I V E S After studying this chapter‚ you should be able to: ● Concisely define each of the following key terms: atomic literal‚ collection literal‚ set‚ bag‚ list‚ array‚ dictionary‚ structured literal‚ and extent. ● Create logical object-oriented database schemas using the object definition language (ODL). ● Transform conceptual UML class diagrams to logical ODL schemas by mapping classes (abstract and concrete)
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