information system

It is a process of constructing a data model for each view of the real world problem which is independent of physical considerations. This stage involves assessing the informational needs of an organization so that a database can be designed to meet those needs.

Be sure to provide a detailed explanation of relational databases along with their associated business advantages.

1. Given a business situation in which managers require information from a database, determine, analyze and classify that information so that reports can be designed to meet the requirements.

The data structure represents the logical relationships between data elements. In addition the data also determines the organizational structure, access methods, and alternative processing assosiativitas level for information.

A. Lab # : BSBA BIS245A-1 B. Lab 1 of 7 : Introduction to MS Visio and MS Access C. Lab Overview--Scenario/Summary TCOs: 1. Given a business situation in which managers require information from a database, determine, analyze and classify that information so that reports can be designed to meet the requirements. 2. Given a situation containing entities, business rules, and data requirements, create the conceptual model of the database using a database modeling tool. Scenario: You have been asked to create two conceptual database models using MS Visio Database Model Diagram Template. The purpose of this lab is to have you gain familiarity with the various modeling tools needed to create a conceptual model (entity relationship diagram) of a

The world has become a very complex place. From the earliest days of computers, storing and manipulating the data have been a major application focus. There has been enormous growth in the computer and database applications over the past two decades. Database is a group of data which consists of tables, schema, reports and views. Database may be of any size and complexity. For example, a salesperson may maintain a small database of customer contacts which consists of few megabytes in his or her computer. A large

There are several important steps to consider when designing a database, as a well-designed database should be deployed and not only support the accuracy and integrity of business information but also avoid redundant data and assist with has enterprise level reporting tasked. If we analyze the

Logical and physical models represent the key elements and processes of the software development. The logical model describes the processes, and data, in as much detail as possible, without giving regard to how the system will be implemented. Logical data models include

A database is used to store collections of information and easily retrieved at a later date. The larger the amount of information, the more organized a database needs to be. A database is created with the requirements and needs of current and future users and most importantly, with past users and their information. Out book defines database systems as “an organization of components that define and regulate the collection, storage, management, and use of data within a database environment”. (Database Systems, 2013)

Relational database contains data records that do not have a preset of relationships, permitting the user to define his or her relationship when accessing the data. Since users have much control over the data being accessed, relational databases can perform a variety of tasks. Such as defining the database; querying the database; adding, editing, and deleting data from the database; modifying the structure of the database; securing data from public access; communicating within the network; and exporting and importing data (Murthy, 2008).

Database development creates enterprise data modeling, which forms the range and wide-ranging contents of organizational databases. There are 5 phases in Database Development Cycle: Planning; Analysis; Design; Implementation and Maintenance.

A logical data model is a data model for a particular problem are presented related to a specific data management technology. Without being specific to a particular DBMS product, it describes the data as much as details (Watt and Eng 2014). As we mentioned before, there is another type of DBMS involved in the logical data model such as hierarchical data model and network data model, which will be discussed in the following.

In the present juncture, data is the most significant entity for almost every type of organization. Be it software, hardware, healthcare, banking, government, scientific, etc., one of the most crucial part for the success of such organizations relies on how they manage their data and with the passage of time, amount of data is being increased radically which is making it quite difficult for the organizations to manage their data in an efficient manner.

Data modeling is the most critical aspect development process. Developing data model is very expensive in terms of labor, time and future business process. Even if there is time crunch or pressure to deliver the project, still data modeling should be done, before any other database development activity happens. Databases should not be built without data model. Same as it is not viable to build a house without blueprints. Projects can go terribly wrong if the process is not being followed and would cost in terms of money time and loss in profit. The primary goal of the data model is to ensure that the all data objects required by the database are analyzed and planned to represent it

Conceptual database design: the process of constructing a model of the data used in an enterprise, independent of all physical consideration. It begin with creating conceptual data model for the enterprise that is entirely independent of implementation details.