"Data modeling" Essays and Research Papers

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    ’ • View of DataData Models Chapter 1: Introduction $  $  • Purpose of Database Systems • Data Definition Language • Data Manipulation Language • Transaction Management & ’ & • Storage Management • Database Administrator • Database Users • Overall System Structure 1.1 Silberschatz‚ Korth and Sudarshan c 1997 Database Systems Concepts Database Management System (DBMS) • Collection of interrelated data • Set of programs to access the data • DBMS contains information

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    This data dictionary is all about the do of all my system like command buttons‚ text boxes and others.. example of content: Data Dictionary (Sales Form) NAME DESCRIPTION OBJECT USED Sales Grid Display the record product in table form. Data Grid Txt item num Display the item number of products. Textbox Txt descri Display the description of product. Textbox Txt price Display the price of product Textbox Txt av_item Display the present quantity of product. textbox Txt qnty Input the desired

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    Nt1330 Unit 1 Study Guide

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    storing data in a structured way in an efficient manner for insert‚ update and retrieval of data in well defined formats. On the other hand‚ in file system the data stored in unstructured manner with an unrelated data. 2) A database management system organizes both physical and logical approach to the data on the other hand file-processing system integrates only the physical access. 3) A database management system is designed to organize multiple users accessing at same time with the same data. a file-processing

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    DATA: A collection of known facts and figures. May contain text‚ numbers‚ images‚ sounds or videos etc. It doesn’t convey useful information METADATA: Data about data (describes prop and char of other data) INFORMATION: 1. Processed form of data is called Information 2. Processed data to increase knowledge of user e.g Name‚ Ages Older than 30 * Bit: Smallest unit of data; binary digit (0‚1) * Byte: Group of bits that represents a single character * Field: Group of words

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    Unit 18 - Database P1, M1

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    Database Database‚ it is a place use to store lots of data. It can be seen as a filing cabinet. And database management system (DBMS) is software that specificity designs for managing the data in database such as create‚ update or delete them. General is including security‚ retrieval and backup features. User also allows using the data to create a report or share data with multi-user. MS Access is a database management system design by Microsoft. It offers user four important objects they are:

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    database that it is applied to. Normalization makes everyone’s job easier due to the fact that it gets rid of as much useless data as possible. Repeated data is processed and simplified into single data. Repeated data‚ for example such as having someone named JOHN DOE in one table and the same person’s name JOHNNY M. DOE in another table. Modifying a table with as little data as possible is much easier than modifying a huge table with all the information that the database has. Normalization breaks

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    management request. Overview At first any database should be designed with the end user in mind. Logical database design‚ also referred to as the logical model‚ is the process of arranging data into logical‚ organized groups of objects that can easily be maintained. The logical design of a database should reduce data repetition or go so far as to completely eliminate it. The needs of the end user should be one of the top considerations when designing a database. We should remember trough all design

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    query‚ and manipulate data in the database (Rouse‚ 2005). The database management system also manages request from users and applications‚ making the database much more user friendly‚ since the users nor the applications have to know where the data is physically located for the database (Rouse‚ 2005). Where multi-user systems are being utilized the database management system does not allow the current user to see who else is accessing the information. The database contains data that needs to be protected

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    A MULTIDIMENSIONAL DATA MODEL Data warehouses and OLAP tools are based on a multidimensional data model. This model views data in the form of a data cube. FROM TABLES TO DATA CUBES What is a data cube? A data cube allows data to be modeled and viewed in multiple dimensions. It is defined by dimensions and facts. In general terms‚ dimensions are the perspectives or entities with respect to which an organization wants to keep records. Each dimension may have a table associated with it‚ called

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    Course Syllabus

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    metadata are discussed in detail. Finally‚ the module describes SQL‚ and explores the role of databases in data warehousing. At the end of the course‚ the students will be able to: Understand terms related to database design and management. Understand the relational model and relational database management system. Assess data and information requirements. Develop logical data models. II. COURSE OUTLINE Allotted time: 60 hours TOPICS TO BE DISCUSSED SPECIFIC OBJECTIVES

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