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Database Processing

Autor David M. Kroenke, David J. Auer
en Limba Engleză Paperback – 30 noi 2009
For undergraduate database management courses

Get students straight to the point of database processing.

Today’s students are too impatient to start a class with lengthy discussions—they want to do something, see a result, and obtain feedback. Database Processing reflects a new teaching method that gets students straight to the point with its thorough and modern presentation of database processing fundamentals.

The eleventh edition of Database Processing now includes active use of DBMS products, a new focus on database application processing, and coverage of Business Intelligence systems.  

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Specificații

ISBN-13: 9780131579453
ISBN-10: 0131579452
Pagini: 637
Dimensiuni: 219 x 274 x 28 mm
Greutate: 1.27 kg
Ediția:Nouă
Editura: Addison Wesley
Locul publicării:Upper Saddle River, United States

Cuprins

PART 1:  GETTING STARTED
Chapter 1:  Introduction
Chapter 2:  Introduction to Structured Query Language

PART 2: DATABASE DESIGN
Chapter 3: The Relational Model and Normalization
Chapter 4: Database Design Using Normalization
Chapter 5: Data Modeling with the Entity-Relationship Model
Chapter 6: Transforming Data Models into Database Designs

PART 3: DATABASE IMPLEMENTATION
Chapter 7: SQL for Database Construction and Application Processing
Chapter 8: Database Redesign

PART 4: MULTIUSER DATABASE PROCESSING
Chapter 9: Managing Multiuser Databases
Chapter 10: Managing Databases with SQL Server 2008
Online Chapter 10a: Managing Databases with Oracle Database 11g
Online Chapter 10b: Managing Databases with MySQL 5.1

PART 5:  DATABASE ACCESS STANDARDS
Chapter 11: The Web Server Environment
Chapter 12: Database Processing with XML
Chapter 13: Database Processing for Business Intelligence Systems

ONLINE APPENDICES:
Appendix A: Getting Started with Microsoft Access 2007
Appendix B: The IDEF1X Standard
Appendix C: UML-Style Entity-Relationship Diagrams
Appendix D: Data Structures for Database Processing
Appendix E: The Semantic Object Model


Caracteristici

For undergraduate database management courses

Get students straight to the point of database processing.

Today’s students are too impatient to start a class with lengthy discussions–they want to do something, see a result, and obtain feedback. Database Processing reflects a new teaching style that gets students straight to the point with its thorough and modern presentation of database processing fundamentals.

The eleventh edition of Database Processing now includes active use of DBMS products, a new focus on database application processing, and coverage of Business Intelligence systems. 

Early Introduction of SQL. This text provides an early introduction to SQL data manipulation language (DML) SELECT statements. By presenting SQL SELECT statements in Chapter 2, students learn early in the class how to query data and obtain results, seeing firsthand how database technology will be useful to them. The discussion of SQL data definition language (DDL) and additional DML statements can be found in Chapters 7 and 8.

A Spiral Approach to Database Design. Rather than teach database design once from the data models, this text gives professors a significant pedagogical opportunity to teach database design three times–once from each of the three sources:
1.    Existing data from spreadsheets, data files, and database extracts.
2.    The development of new information systems projects.
3.    The need to redesign an existing database to adapt to changing requirements.

NEW! Active Use of DBMS Products. This text assumes that students will work through the SQL statements and examples with a DBMS product. This is practical in today’s world because nearly every student has access to Microsoft Access. However, if a non-Access based approach is desired, there are versions of Oracle Database, SQL Server 2008, and MySQL 5.1 readily available for use, allowing professors flexibility in selecting which product to use for their course.

NEW! Focus on Database Application Processing. This text streamlines the content to focus on the basic tools that are immediately applicable to database-driven applications. In order to accomplish this new focus, Kroenke and Auer have:
•    Focused on specific database dependent applications:
    o    Web-based database-driven applications
    o    XML-based data processing
    o    Business Intelligence (BI) systems applications
•    Emphasized the use of commonly available, multiple OS compatible application development languages.
•    Limited the use of specialized vendor-specific tools and programming languages as much as possible.

NEW! Coverage of Business Intelligence Systems
. Chapter 15 covers the hot new topic of Business Intelligence (BI) and includes a discussion of dimensional databases, which are the underlying structure for data warehouses, data marts and OLAP servers.



Caracteristici noi

NEW! Active Use of DBMS Products. This text assumes that students will work through the SQL statements and examples with a DBMS product. This is practical in today’s world because nearly every student has access to Microsoft Access. However, if a non-Access based approach is desired, there are versions of Oracle Database, SQL Server 2008 and MySQL 5.1 readily available for use, allowing professors flexibility in selecting which product to use for their course.

NEW! Focus on Database Application Processing. This text streamlines the content to focus on the basic tools that are immediately applicable to database-driven applications. In order to accomplish this new focus, Kroenke and Auer have:
•    Focused on specific database dependent applications:
    o    Web-based database-driven applications
    o    XML-based data processing
    o    Business Intelligence (BI) systems applications
•    Emphasized the use of commonly available, multiple OS compatible application development languages.
•    Limited the use of specialized vendor-specific tools and programming languages as much as possible.

NEW! Coverage of Business Intelligence Systems
. Chapter 15 covers the hot new topic of Business Intelligence (BI) and includes a discussion of dimensional databases, which are the underlying structure for data warehouses, data marts and OLAP servers.