¶ … Modeling and Database Design
Data Modeling Database Design The databases significantly improve organization's ability access, share, apply relevant information. However, wealth data a database, greatly dependent design. Designing a database creates logical data relationships end
Data modeling and database design
Making use of database systems would benefit a health care organization as information regarding a patient can be retrieved easily and quickly Choobineh & Lo, 2004.
The initial design of the database is vital to ensure that information is accurate and logical. Patient information can be easily retrieved and shared with other professionals. Information sharing becomes easy, and health care workers can collaborate with others irrespective of location. Using different descriptions for the same data in a database will create confusion especially when the information has to be exported to another system. The database system would treat the description differently and create a new field for storing the data. This would result in confusion when the data is retrieved by other health care workers. During the design phase, the health care workers should be consulted in order to establish their preferences and collate the information. Health care organizations have different ways of storing information. One health care facility could store its patient's names under one field while another would separate the fields into first, last, and surname.
Creating a blueprint for the required data, assists the designers to create logical presentations of the data captured Mantha, 1987.
Logical data relationships are vital for the database. When users query the database they expect to receive accurate information, but in some instances there might be conflicting information because of the database design. Health care organizations use database systems for capturing and storing patient information. This ease the burden and risk of losing patient records. In case the patient...
" "STUDENT INFORMATION TABLE" ( "STUDENT ID" CHARACTER (4) NOT NULL, NAME CHARACTER (25) NOT NULL, "STREET NUMBER" CHARACTER (10) NOT NULL, "STREET NAME" CHARACTER (25) NOT NULL, CITY CHARACTER (25) NOT NULL, STATE CHARACTER (10) NOT NULL, EMAIL CHARACTER (25) NOT NULL, "PHONE NUMBER" CHARACTER (15) NOT NULL ); CONNECT RESET; SQL FOR Book_Information CONNECT TO LIBRARY; CREATE TABLE "USER"; CREATE TABLE BookInformation ( "BookISBN" CHARACTER (10) NOT NULL; "AUTHOR" CHARACTER (25) NOT NULL; "TITLE" CHARACTER (50) NOT NULL; "PRICE" CHARACTER (10) NOT NULL; CONNECT RESET; SQL STATEMENT FOR
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Database Modeling and Normalization Entity Relationship Model (ERM) Diagram is a data model used to describe the database in an abstract method. The relational database stores data in table. The entity in the database could point to several entries. For example, employee is an entity in the relationship database, and a diagram used to create the entity in the database is called entity-relationship diagrams or ER diagrams. (Silberschatz, Korth, 2006). Objective of
These factors further accelerate the value and TCO of databases over time. Describe the features, tools, and utilities of Structured Query Language (SQL). How can tasks be automated with SQL? SQL has specifically been designed with features, tools and utilities to enable programmers to support nth-tier data architectures in addition to legacy client-server computing scenarios. The development and continual improvement of the features, tools and utilities of SQL for automating tasks
Database Security Plan and Requirements Definition for a University Department The database security plan and requirements definition were developed. The plan included, at the outset, the inclusion of major stakeholder at the University and described their roles in initiating, implementing, and maintaining the plan. Individuals responsible for daily and other periodic tasks were developed. A major consideration in planning the security was the policy that governs granting of access. The need-to-know,
Design criteria exist at the levels of the technical, system integration aspects of the database to other systems through XML. This integration is critically important to ensure that the applications created can be effectively used over time and not have any scalability issues. There is also the need for designing the databases at the presentation layer to provide for scalability and flexibility of being able to create applications relatively quickly
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