Solution Manual Modern Database Management Byhoffer
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Description For introductory courses in Database Management. Provide the latest information in database development 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 Twelfth Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology. Provides hands-on practice with database development.
Organization accommodates structural flexibility. The modular nature of the text allows the instructor to omit certain chapters or to cover chapters in a different sequence, to meet the needs of both his/her curriculum and student career paths. Information from the best in the industry. The authors worked closely with database practitioner organizations to include vitally important information that students need to know in order to become effective database practitioners.
Expanded coverage and integration of SQL. In addition to expanded SQL coverage (including changes to the latest standard, new features, etc.), this text also includes figures to graphically depict the set processing related logic of SQL queries, giving students vital tools for assistance in writing queries. Chapter introductions and summaries both encapsulate the main concepts of each chapter and link material to related chapters. Learning objectives, located at the beginning of each chapter, preview major concepts and skills students will learn from that chapter and provide a great study review aid for students as they prepare for assignments and examinations. Every chapter went through significant edits to streamline coverage to ensure relevance with current technologies and eliminate redundancies. End-of-chapter material (review questions, problems and exercises, and/or field exercises) in every chapter has been revised with new material.
The figures in several chapters were updated to reflect the changing landscape of technologies that are being used in modern organizations. Field Exercises. A set of “hands-on” mini-cases can be assigned to either individual students or small teams. Field exercises range from directed field trips to Internet searches. A simpler mini-case titled “Forondo Artist Management Excellence Inc.” (FAME) has replaced the The Mountain View Community Hospital case study. The Web Resources section in each chapter was updated to ensure that students have information on the latest database trends and expanded background details on important topics covered in the text.
Custom-developed short videos address key concepts and skills from different sections of the book, helping students learn potentially difficult material in a format that speaks to visual learners. These videos, available on the student Companion Website, support topics such as:. Introduction to database (Chapter 1). Conceptual data modeling (Chapters 2 and 3). Normalization (Chapter 4). SQL (Chapters 6 and 7) To learn more, visit.
The reduced length of this edition is more consistent with what reviewers say can be covered in a database course today, given the need for depth of coverage in the most important topics. Topics reflect major trends in the information systems field.
NEW! Additional information including a dedicated chapter on Big Data and Analytics has been added, providing in-depth coverage of big data technologies such as NoSQL, Hadoop, MapReduce, Pig, and Hive, and providing an introduction to the different types of analytics (descriptive, predictive, and prescriptive) and their use in business. A “Why Data Modeling is Important” section provides compelling reasons for why data modeling is still crucial (Chapter 2). A section on routines provides clarity on the nature of routines and how to use them (Chapter 7).
Topics such as in-memory databases, in-database analytics, data warehousing in the cloud, and massively parallel processing are now covered (Chapters 9 and 11). Provides hands-on practice with database development. UPDATED! Every chapter went through significant edits to streamline coverage to ensure relevance with current technologies and eliminate redundancies. End-of-chapter material (review questions, problems and exercises, and/or field exercises) in every chapter has been revised with new material. The figures in several chapters were updated to reflect the changing landscape of technologies that are being used in modern organizations.
A simpler mini-case titled “Forondo Artist Management Excellence Inc.” (FAME) has replaced the The Mountain View Community Hospital case study. The Web Resources section in each chapter was updated to ensure that students have information on the latest database trends and expanded background details on important topics covered in the text. Custom-developed short videos address key concepts and skills from different sections of the book, helping students learn potentially difficult material in a format that speaks to visual learners.
These videos, available on the student Companion Website, support topics such as:. Introduction to database (Chapter 1). Conceptual data modeling (Chapters 2 and 3). Normalization (Chapter 4). SQL (Chapters 6 and 7) To learn more, visit. The reduced length of this edition is more consistent with what reviewers say can be covered in a database course today, given the need for depth of coverage in the most important topics. Topics reflect major trends in the information systems field.
Additional information including a dedicated chapter on Big Data and Analytics has been added, providing in-depth coverage of big data technologies such as NoSQL, Hadoop, MapReduce, Pig, and Hive, and providing an introduction to the different types of analytics (descriptive, predictive, and prescriptive) and their use in business. A “Why Data Modeling is Important” section provides compelling reasons for why data modeling is still crucial (Chapter 2). A section on routines provides clarity on the nature of routines and how to use them (Chapter 7). Topics such as in-memory databases, in-database analytics, data warehousing in the cloud, and massively parallel processing are now covered (Chapters 9 and 11). Table of Contents I. The Context of Database Management 1. The Database Environment and Development Process II.
Database Analysis 2. Modeling Data in the Organization 3. The Enhanced E-R Model III. Database Design 4. Logical Database Design and the Relational Model 5. Physical Database Design and Performance IV. Implementation 6.
Introduction to SQL 7. Advanced SQL 8. Database Application Development 9. Data Warehousing V. Advanced Database Topics 10.
Data Quality and Integration 11. Big Data and Analytics 12. Data and Database Administration Glossary of Acronyms Glossary of Terms Index Online Chapters 13. Distributed Databases 14. Object-Oriented Data Modeling Appendices Appendix A. Data Modeling Tools and Notation Appendix B. Advanced Normal Forms Appendix C.
Data Structures.
Relationship and metadata chart a. Relationship between entities: Entities:. Entities may represent the physical object, event or concept. An attribute is a property of an entity. Relationship denotes the link between the entities. Relationship between PATIENT and PATIENT CHARGES entity:.
Solution Manual Modern Database Management Hoffer
PATIENT and PATIENT CHARGES are the two tables of the Mountain View Community Hospital. The PATIENT table describes the current and recent patients of the hospital. The PATIENT CHARGES table describes the charges provided for each patient.
The relationship exists between the PATIENT and PATIENT CHARGES is one-to-many relationship. Metadata for entities: Metadata is the information present in the data dictionary. It helps to understand the components of the data model. It contains all information such as entity names, attribute description, and relationship for the data model. The two entities are PATIENT and PATIENT CHARGES. A patient may have many charges so there exists a 1:N (one-to-many) relationship. The metadata entries for the two attribute table are shown below: Data item Value Name Type Length Min Max Description Patient Name Character 30 -Patient’s Name Patient Number Integer 4 0000 9999 Patient’s ID Patient Address Character 40 -Street/city/state Contact Number Integer 10 20 Phone/Mobile number Item Description Character 20 -Item Name Item Code Integer 3 00 999 Item Id Amount Decimal 7 0.0 99,999.99 Amount Charged.
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