Remember Me. Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and topics that are critical for the practical success of database professionals. The 13th Edition updates and expands materials in areas undergoing rapid change as a result of improved managerial practices, database design tools and methodologies, and database technology — such as application security, multi-user solutions, and more — to reflect major trends in the field and the skills required of modern information systems graduates.
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Whether you need, Husqvarna chainsaw parts or riding mower parts, you'll find what you need at RepairClinic. Leave a Reply. For diverse languages, including morphologically more complex languages, languages with partial free word order, and low-resource languages. Stress that these advantages can only be achieved through strong organizational planning and commitment. Also discuss the costs and risks of the database approach Table Introduce the students to the major components of the database environment Figure Introduce the concept of a data warehouse as a type of enterprise database.
This topic is described in detail in Chapter 9. Review the evolution of database technologies and the significance of each era Figure 1- Add your own perspective to the directions that this field is likely to take in the future. You may also provide them with an understanding of where the DBMS software and their data will be stored at your school as an illustration. A quick in-class demo of Microsoft Access or similar product is useful to give the students an initial exposure to a DBMS and demonstrate a prototyping approach to database development.
Consider using the PVFC prototyping request as an example. If time permits, have the students answer several problems and exercises in class. Use the project case to reinforce concepts discussed in class. Students can be assigned to work on this case in class if time permits, or it can be used as a homework assignment. If time permits, use Teradata University Network resources to demonstrate the structure and contents of a relational database for some of the textbook datasets.
Demonstrate, or lead students through, some simple SQL retrieval exercises against the textbook databases. Answers to Review Questions Define each of the following key terms: a. Data that have been processed in such a way as to increase the knowledge of the person who uses it. Data that describes the properties or characteristics of end-user data and the context of that data. Enterprise resource planning ERP. A class of systems that integrate all functions of the enterprise, such as manufacturing, sales, finance, marketing, inventory, accounting, and human resources.
Data warehouse. An integrated decision support database whose content is derived from the various operational databases. A rule that cannot be violated by database users. An organized collection of logically related data. Entity A person, place, object, event, or concept in the user environment about which the organization wishes to maintain data. Database management system. A software system that is used to create, maintain, and provide controlled access to user databases.
A local area network-based environment in which database software on a server called a database server or database engine performs database commands sent to it from client workstations, and application programs on each client concentrate on user interface functions. Systems development life cycle SDLC. A traditional methodology used to develop, maintain, and replace information systems.
An iterative process of systems development in which requirements are converted to a working system that is continually revised through close work between analysts and users. Enterprise data model.
The first step in database development, in which the scope and general contents of organizational databases are specified. Conceptual data model. A detailed, technology-independent specification of the overall structure of organizational data. Logical data model. The representation of data for a particular data management technology such as the relational model.
In the case of a relational data model, elements include tables, columns, rows, primary and foreign keys, as well as constraints. Physical data model. There is one physical data model or schema for each logical data model. Match the following terms and definitions: c data b database application l constraint g repository f metadata m data warehouse a information j user view k database management system h data independence e database i enterprise resource planning ERP r systems development life cycle SDLC o prototyping d enterprise data model q conceptual schema p internal schema n external schema Contrast the following terms: a.
Data dependence; data independence. With data dependence, data descriptions are included with the application programs that use the data, while with data independence the data descriptions are separated from the application programs. Structured data; unstructured data. Data; information. Data consist of facts, text, and other multimedia objects, while information is data that have been processed in such a way that it can increase the knowledge of the person who uses it.
Repository; database. A repository provides centralized storage for all data definitions, data relationships, and other system components, while a database is an organized collection of logically related data. Entity; enterprise data model. An entity is an object or concept that is important to the business, while an enterprise data model is a graphical model that shows the high- level entities for the organization and the relationship among those entities.
Data warehouse; ERP system. Both use enterprise level data. Data warehouses store historical data at a chosen level of granularity or detail, and are used for data analysis purposes, to discover relationships and correlations about customers, products, and so forth that may be used in strategic decision making.
Personal databases; multitier databases. A personal database is intended for a single user to manage small amounts of data in an efficient manner, and it resides on a personal computing device such as a laptop or a smart phone.
Multitier databases share multiple sometimes very large numbers of users. They house the user interface on client devices and the business logic may be maintained on multiple server layers to accomplish the business transactions requested by client devices. Systems development life cycle; prototyping. Both are systems development processes.
The SDLC is a methodical, highly structured approach that includes many checks and balances. Consequently, the SDLC is often criticized for the length of time needed until a working system is produced, which occurs only at the end of the process.
Increasingly, organizations use more rapid application development RAD processes, which follow an iterative process of rapidly repeating analysis, design, and implementation steps until you converge on the system the user wants.
Prototyping is a widely used method within RAD. In prototyping, a database and its applications are iteratively refined through a close interaction of systems developers and users. Enterprise data model; conceptual data model. In an enterprise data model, the range and contents of the organizational databases are set. Generally, the enterprise data model represents all of the entities and relationships.
The conceptual data model extends the enterprise data model further by combining all of the various user views and then representing the organizational databases using ER diagrams. Prototyping; Agile software development. Prototyping is a rapid application development RAD method where a database and its application s are iteratively refined through analysis, design, and implementation cycles with systems developers and end users.
Agile software development is a method that shares an emphasis on iterative development with the prototyping method yet further emphasizes the people and rapidity of response in its process. Five disadvantages of file processing systems: a. Program-data dependence b. Duplication of data c. Limited data sharing d. Lengthy development times e. Excessive program maintenance Nine major components in a typical database system environment: a.
CASE tools: automated tools used to design databases and database applications. Repository: centralized storehouse of data definitions. Database management system DBMS : commercial software used to define, create, maintain, and provide controlled access to the database and the repository. Database: organized collection of logically related data. Application programs: computer programs that are used to create and maintain the database. User interface: languages, menus, and other facilities by which users interact with the various system components.
Data administrators: persons who are responsible for the overall information resources of an organization. System developers: persons such as systems analysts and programmers who design new application programs.
End users: persons who add, delete, and modify data in the database and who request information from it. Relationships between tables: Relationships between tables are expressed by identical data values stored in the associated columns of related tables in a relational database.
Definition of data independence: Data independence refers to the separation of data descriptions from the application programs that use the data. Additionally, data independence allows changes to application programs without requiring changes in data storage structure. Program-data independence b. Minimal data redundancy c. Improved data sharing e.
Increased development productivity f. Enforcement of standards g. Improved data quality h. Improved data accessibility and responsiveness i. Reduced program maintenance, and j. Improved decision support. Five costs or risks of the database approach are: a. New, specialized personnel b. Installation, management cost, and complexity c. Conversion costs d. Need for explicit backup and recovery, and e. Organizational conflict. Nine key components of a typical database environment a.
Possibility of no database on a tier of a multi-tiered database? Yes, it is possible. The client tier — a PC or a mobile client — typically has presentation logic but no database installed on it. Five SDLC phases: a.
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