The database development life cycle (DDLC) is the steps involved from the start to finish of a database 's life. Typically, a database’s life end when its functionality to a user is no longer applicable to the users ' needs. The DDLC consists of seven interdependent steps: database planning, database analysis, logical database design, physical database design, implementation and data mapping, integration and testing, operation and maintenance, and disposition (Gupta, Mata-Toledo, and Monger 2011). Each step has associated security risks that must be accounted for. This assessment aims to describe, briefly, the purpose of each step and associated security risks
Database Development Life Cycle Database planning is the first step of the DDLC. During this step, the requirement of the database in relation to an organization’s wants and anticipated use is determined. The amounts of data stored, processed, and daily resource activity is determined by consultation with the organization’s upper level management (Aaron 2016). For security reasons, the level of access rights to the database is also determined by upper level management of the organization. Database designers, knowing the requirements and security measures, can more accurately translate the requirements to the second step of the DDLC. The privilege levels also aids database developers in asking appropriate questions to departments within the organization whilst restricting “need to know” information. Database
At this stage, the specifics of the scope and the general content of the project has been identified and is the first step in database development. It illustrates the overall picture of organizational data at a high level of abstraction. In addition,
A database administration framework (DBMS) is a PC programming application that connects with the client, different applications, and the database itself to catch and dissect information. A universally useful DBMS is intended to permit the definition, creation, questioning, upgrade, and organization of databases.
This research paper is to survey on database environment and development process. Database is an organized collection of logically related data. It consists of tables, queries, views and other objects. Database management system is a software system used for creating and managing databases. It is a collection of programs used to store, modify and extract information from database. It helps users and programmers for creating updating and managing the data in a systematic way. There are many types of database management system ranging from small systems to huge systems that run on personal computers and mainframes.
A Database Management System or (DBMS) is an essential tool for any organization or company in today’s modern world. A DBMS is “a group of programs that manipulate the database and provide an interface between the database and its users and other application programs” (Stair & Reynolds, 2011, p. 189). So in choosing the right DBMS there are many factoring issues with choosing the right one for the company or organization. When choosing a DBMS one has to think about how the system will ultimately help the company or organization with day to day processes and the goals of the company or organization.
Database plays a major role in any organization. As a Database administrator(DBA) he/she is responsible in developing, implementing and maintaining the databases and DBA 's are also responsible in updating, backup 's and security of the databases. The first Database Management System was developed in the late 1960 's by two firms based on their network data model but in the early 1970’s a scientist of IBM introduced Relational database theory after six years IBM completed prototype on RDBMS (relational database management system). Oracle created the first versatile Relational Database Management Systems In 1983, which allowed organizations to use their DBMS on different machines including mainframes, workstations, and Pc 's. In 1993 Microsoft first created a database application called Access for Macintosh machines. Microsoft SQL server is a RDBMS which is used to store and retrieve the data by other software applications. There are 12 types of servers concentrated on various types of user 's from single computer to large networks (Microsoft SQL DBA).
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
Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This
Coronel, C. (2013). Database Systems: Design, Implementation, and Management, Tenth Edition. Mason, Ohio, United States: Cengage Learning.
In conclusion, the database project present a few risks. As the project timeline is further along in the process, other risks will arise. As the risks arise, it is important to analyze the probability of the risk happening and if the risk were to occur how damaging or ideal will it be to the
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).
What is a database? According to our book, it’s an organized collection of logically related data. The information collected in a database can be effortlessly administered and accessed. However, with each database there is a concern of security. According to our book, the goal of database security is to protect and prevent data from unintentional or deliberate threats to its integrity and accessibility. The database environment has grown more complex, with distributed databases located on client/server architectures and personal computers as well as mainframes. Access to data has become more open through the Internet and corporate intranets and from mobile computing devices. As a result, managing data security has become more difficult and time-consuming.
Our data is never at rest. Even when organizations depend on their database for storage, there is always copies of data somewhere else to be found. To service our men and women in the Army Reserves, data has to be manipulated at the local computer and then sent back to be stored back on the database. The very moment that data is moved and stored on a local machine for it to be manipulated is also the moment that the data is most vulnerable. Despite the concerted efforts to ensure data confidentiality the overall security depends efforts put forth by the weakest link. The insider threat is one of the hardest risk to mitigate, mainly due to their initial need to legitimately data access.
Databases are normally used by businesses and schools to store their data. These databases are kept secure, and users can only access the information stored on the database they have been granted access to. Now data is added to, accessed, or remove from a database using languages such as SQL (Structured Query Language), MYSQL (My Sequel), etc.
This paper defines the Software Development Life Cycle phases specifically the Waterfall method with a review of tasks to improve the quality of datasets throughout the cycle. It includes recommendations of actions to be performed for full optimization for enhancing performance from data quality assessment. Although full optimization may be reached throughout the process of SDLC, continued maintenance must be in sued to properly retain the database error-free and protected. An evaluation of three methods and activities to ensure maintenance
With advances in technology constantly happening, it can be hard to keep up with all of the latest trends. If organizations cannot keep up with the latest trends, it can lead to flaws in their security. Any flaws in security can have a detrimental effect on an organization’s database. Almost every organization has some sort of database, whether it is for maintaining customers, inventory, or vital information.