Database Systems: Design, Implementation, & Management
Format: PDF / Kindle (mobi) / ePub
Practical and easy to understand, DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, Eleventh Edition, gives students a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading text provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, this text provides students with an outstanding balance of theory and practice. The eleventh edition has been updated to include expanded relational algebra coverage, updated business vignettes showing the impact of database tech in the real world, updated coverage of cloud data services, expanded coverage of Big Data and related Hadoop technologies, SQL coverage expanded to include MySQL databases, and many other improvements! In addition, new review questions, problem sets, and cases have been added throughout the book so that students have multiple opportunities to test their understanding and develop real and useful design skills.
Discriminators cannot be null. Subtype sets are not unique. Cengage Learning © 2015 Copyright 2015 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time.
Different storage media. Therefore, the DBMS doesn’t have to wait for one disk request to finish before the next one starts. In other words, the DBMS can fulfill database requests concurrently. Data storage management and performance tuning issues are addressed in Chapter 11, Database Performance Tuning and Query Optimization. Copyright 2015 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content.
M:N) can be represented using ERDs. The use of ERDs allows you to create and evaluate simple logical design. The 1:M relationship is most easily incorporated in a good design; just make sure that the primary key of the “1” is included in the table of the “many.” K e y associative entity attribute domain bridge entity candidate key closure composite entity composite key data dictionary dependent determinant determination domain entity integrity equijoin flags T e r m s foreign key (FK) full.
Rectangle. (See Figure 4.1.) Because the Chen representation consumes more space, software vendors have adopted the Crow’s Foot attribute display. FIGURE 4.1 The attributes of the STUDENT entity: Chen and Crow’s Foot Chen Model Crow’s Foot Model STU_INITIAL STU_EMAIL STU_FNAME STU_LNAME STUDENT STU_PHONE Cengage Learning © 2015 Required and Optional Attributes A required attribute is an attribute that must have a value; in other words, it cannot be left empty. As shown in Figure 4.1,.
Procedures. Building an ERD usually involves the following activities: • Create a detailed narrative of the organization’s description of operations. • Identify the business rules based on the description of operations. • Identify the main entities and relationships from the business rules. • Develop the initial ERD. • Identify the attributes and primary keys that adequately describe the entities. • Revise and review the ERD. Copyright 2015 Cengage Learning. All Rights Reserved.