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Database Processing Fundamentals Design and Implementation 16th Edition by David Kroenke, David Auer, Scott Vandenberg, Robert Yoder 0136930093 9780136930099

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Database Processing: Fundamentals, Design, and Implementation 16th Edition David M. Kroenke Digital Instant Download

Author(s): David M. Kroenke, David J. Auer, Scott L. Vandenberg
ISBN(s): 2020042625
Edition: 16
File Details: PDF, 1.18 Gb
Year: 2022
Language: English
SKU: EB-49695138 Category: Tags: , ,

Database Processing Fundamentals Design and Implementation 16th Edition by David Kroenke, David Auer, Scott Vandenberg, Robert Yoder – Ebook PDF Instant Download/Delivery: 0136930093, 9780136930099
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ISBN 10: 0136930093
ISBN 13: 9780136930099
Author: David M. Kroenke; David J. Auer; Scott L. Vandenberg; Robert C. Yoder

Getting straight to the point of database processing  Database Processing: Fundamentals, Design, and Implementation,16th Edition, is a thorough and modern look at database processing fundamentals that’s designed to get straight to the point. The 16th edition refines the organization and content of this classic textbook to reflect a new teaching and professional workplace environment. It also addresses the latest software and expands upon new and emerging developments in the database processing field.

Database Processing Fundamentals Design and Implementation 16th Table of contents:

  1. Database Processing Fundamentals, Design, and Implementation
  2. Brief Contents
  3. Contents
  4. Foreword to the 40th Anniversary Edition
  5. Preface
  6. New to This Edition
  7. Fundamentals, Design, and Implementation
  8. Focus on Database Application Processing
  9. Business Intelligence Systems and Dimensional Databases
  10. Overview of the Chapters in the 16th Edition
  11. Supplements
  12. About the Authors
  13. Work Experience
  14. Consulting
  15. Publications
  16. Teaching
  17. Education
  18. Personal
  19. Work Experience
  20. Publications
  21. Teaching
  22. Education
  23. Personal
  24. Work Experience
  25. Publications
  26. Teaching
  27. Education
  28. Personal
  29. Part 1 Getting Started
  30. 1 Introduction
  31. Chapter Objectives
  32. The Importance of Databases in the Internet and Mobile App World
  33. The Characteristics of Relational Databases
  34. A Note on Naming Conventions
  35. A Database Has Data and Relationships
  36. Databases Create Information
  37. Database Examples
  38. Single-User Database Applications
  39. Multiuser Database Applications
  40. E-Commerce Database Applications
  41. Reporting and Data Mining Database Applications
  42. The Components of a Database System
  43. Database Applications and SQL
  44. The DBMS
  45. The Database
  46. Personal Versus Enterprise-Class Database Systems
  47. What Is Microsoft Access?
  48. What Is an Enterprise-Class Database System?
  49. Database Applications in an Enterprise-Class Database System
  50. The DBMS in an Enterprise-Class Database System
  51. Microsoft SQL Server 2019
  52. Oracle Database
  53. MySQL 8.0
  54. Database Design
  55. Database Design from Existing Data
  56. Database Design for New Systems Development
  57. Database Redesign
  58. What You Need to Learn
  59. A Brief History of Database Processing
  60. The Early Years
  61. The Emergence and Dominance of the Relational Model
  62. Post-Relational Developments
  63. Summary
  64. Key Terms
  65. Review Questions
  66. Exercises
  67. 2 Introduction to Structured Query Language
  68. Chapter Objectives
  69. Cape Codd Outdoor Sports
  70. Business Intelligence Systems and Data Warehouses
  71. The Cape Codd Outdoor Sports Extracted Retail Sales Data Database
  72. The RETAIL_ORDER Table
  73. The ORDER_ITEM Table
  74. The SKU_DATA Table
  75. The BUYER Table
  76. The CATALOG_SKU_20## Tables
  77. The Complete Cape Codd Data Extract Schema
  78. Data Extracts Are Common
  79. SQL Background
  80. The SQL SELECT/FROM/WHERE Framework
  81. Reading Specified Columns from a Single Table
  82. Specifying Column Order in SQL Queries from a Single Table
  83. Submitting SQL Statements to the DBMS
  84. Using SQL in Microsoft Access 2019
  85. Does Not Work with Microsoft Access ANSI-89 SQL
  86. Processing SQL Statements in Microsoft Access 2019
  87. Using SQL in Microsoft SQL Server 2019
  88. Using SQL in Oracle Database
  89. Using SQL in Oracle MySQL 8.0
  90. SQL Enhancements for Querying a Single Table
  91. Reading Specified Rows from a Single Table
  92. Reading Specified Columns and Rows from a Single Table
  93. Sorting the SQL Query Results
  94. SQL WHERE Clause Options
  95. Compound SQL WHERE Clauses Using Logical Operators
  96. SQL WHERE Clauses Using Sets of Values
  97. SQL WHERE Clauses Using Ranges of Values
  98. SQL WHERE Clauses That Use Character String Patterns
  99. SQL WHERE Clauses That Use NULL Values
  100. Performing Calculations in SQL Queries
  101. Using SQL Built-in Aggregate Functions
  102. SQL Expressions in SQL SELECT Statements
  103. Grouping Rows in SQL SELECT Statements
  104. Querying Two or More Tables with SQL
  105. Querying Multiple Tables with Subqueries
  106. Querying Multiple Tables with Joins
  107. Comparing Subqueries and Joins
  108. The SQL JOIN ON Syntax
  109. SQL Queries on Recursive Relationships
  110. Outer Joins
  111. Using SQL Set Operators
  112. Summary
  113. Key Terms
  114. Review Questions
  115. Exercises
  116. Case Questions
  117. Marcia’s Dry Cleaning Case Questions
  118. The Queen Anne Curiosity Shop Project Questions
  119. Morgan Importing Project Questions
  120. Part 2 Database Design
  121. 3 The Relational Model and Normalization
  122. Chapter Objectives
  123. Relational Model Terminology
  124. Relations
  125. Characteristics of Relations
  126. Alternative Terminology
  127. To Key or Not to Key—That Is the Question!
  128. Functional Dependencies
  129. Functional Dependencies That Are Not Equations
  130. Composite Functional Dependencies
  131. Finding Functional Dependencies
  132. Functional Dependencies in the SKU_DATA Table
  133. Functional Dependencies in the ORDER_ITEM Table
  134. When Are Determinant Values Unique?
  135. Keys
  136. Candidate Keys
  137. Primary Keys
  138. Surrogate Keys
  139. Foreign Keys
  140. Normal Forms
  141. Modification Anomalies
  142. A Short History of Normal Forms
  143. Normalization Categories
  144. From First Normal Form to Boyce-Codd Normal Form Step-by-Step
  145. Second Normal Form
  146. Third Normal Form
  147. Boyce-Codd Normal Form
  148. Eliminating Anomalies from Functional Dependencies with BCNF
  149. Normalization Example 1
  150. Normalization Example 1: The “Step-by-Step” Method
  151. Normalization Example 1: The “Straight-to-BCNF” Method
  152. Normalization Example 2
  153. Normalization Example 3
  154. Normalization Example 4
  155. Normalization Example 5
  156. Eliminating Anomalies from Multivalued Dependencies
  157. Fifth Normal Form
  158. Domain/Key Normal Form
  159. Summary
  160. Key Terms
  161. Review Questions
  162. Exercises
  163. Case Questions
  164. Regional Labs Case Questions
  165. The Queen Anne Curiosity Shop Project Questions
  166. Morgan Importing Project Questions
  167. 4 Database Design Using Normalization
  168. Chapter Objectives
  169. Assess Table Structure
  170. Designing Updatable Databases
  171. Advantages and Disadvantages of Normalization
  172. Functional Dependencies
  173. Normalizing with SQL
  174. Choosing Not to Use BCNF
  175. Multivalued Dependencies
  176. Designing Read-Only Databases
  177. Denormalization
  178. Customized Duplicated Tables
  179. Common Design Problems
  180. The Multivalue, Multicolumn Problem
  181. Inconsistent Values
  182. Missing Values
  183. The General-Purpose Remarks Column
  184. Summary
  185. Key Terms
  186. Review Questions
  187. Exercises
  188. Case Questions
  189. Marcia’s Dry Cleaning Case Questions
  190. The Queen Anne Curiosity Shop Project Questions
  191. Morgan Importing Project Questions
  192. 5 Data Modeling with the Entity-Relationship Model
  193. Chapter Objectives
  194. The Purpose of a Data Model
  195. The Entity-Relationship Model
  196. Entities
  197. Attributes
  198. Identifiers
  199. Relationships
  200. Maximum Cardinality
  201. Minimum Cardinality
  202. Entity-Relationship Diagrams and Their Versions
  203. Variations of the E-R Model
  204. E-R Diagrams Using the IE Crow’s Foot Model
  205. Strong Entities and Weak Entities
  206. ID-Dependent Entities
  207. Non-ID-Dependent Weak Entities
  208. The Ambiguity of the Weak Entity
  209. Subtype Entities
  210. Patterns in Forms, Reports, and E-R Models
  211. Strong Entity Relationship Patterns
  212. 1:1 Strong Entity Relationships
  213. 1:N Strong Entity Relationships
  214. N:M Strong Entity Relationships
  215. ID-Dependent Relationship Patterns
  216. The Association Pattern and the Associative Entity
  217. The Multivalued Attribute Pattern
  218. The Archetype/Instance Pattern
  219. Mixed Identifying and Nonidentifying Relationship Patterns
  220. The Line-Item Pattern
  221. Other Mixed Relationship Patterns
  222. The For-Use-By Subtype Pattern
  223. Recursive Relationship Patterns
  224. 1:1 Recursive Relationships
  225. 1:N Recursive Relationships
  226. N:M Recursive Relationships
  227. The Data Modeling Process
  228. The College Report
  229. The Department Report
  230. The Department/Major Report
  231. The Student Acceptance Letter
  232. Summary
  233. Key Terms
  234. Review Questions
  235. Exercises
  236. Case Questions
  237. Writer’s Patrol Case Questions
  238. Highline University Mentor Program Case Questions
  239. The Queen Anne Curiosity Shop Project Questions
  240. Morgan Importing Project Questions
  241. 6 Transforming Data Models into Database Designs
  242. Chapter Objectives
  243. The Purpose of a Database Design
  244. Create a Table for Each Entity
  245. Selecting the Primary Key
  246. Specifying Alternate Keys
  247. Specifying Column Properties
  248. Null Status
  249. Data Type
  250. Default Value
  251. Data Constraints
  252. Verify Normalization
  253. Create Relationships
  254. Relationships Between Strong Entities
  255. 1:1 Relationships Between Strong Entities
  256. 1:N Relationships Between Strong Entities
  257. N:M Relationships Between Strong Entities
  258. Relationships Using ID-Dependent Entities
  259. Association Relationships
  260. Multivalued Attributes
  261. Archetype/Instance Pattern
  262. Relationships with a Weak Non-ID-Dependent Entity
  263. Relationships in Mixed Entity Designs
  264. Relationships Between Supertype and Subtype Entities
  265. Recursive Relationships
  266. 1:1 Recursive Relationships
  267. 1:N Recursive Relationships
  268. N:M Recursive Relationships
  269. Representing Ternary and Higher-Order Relationships
  270. Relational Representation of the Highline University Data Model
  271. Design for Minimum Cardinality
  272. Actions When the Parent Is Required
  273. Actions on the Parent Row when the Parent Is Required
  274. Actions on the Child Row When the Parent Is Required
  275. Actions When the Child Is Required
  276. Actions on the Parent Row When the Child Is Required
  277. Actions on the Child Row When the Child Is Required
  278. Implementing Actions for M-O Relationships
  279. Implementing Actions for O-M Relationships
  280. Implementing Actions for M-M Relationships
  281. Designing Special Case M-M Relationships
  282. Documenting the Minimum Cardinality Design
  283. Documenting Required Parents
  284. Documenting Required Children
  285. An Additional Complication
  286. Summary of Minimum Cardinality Design
  287. The View Ridge Gallery Database
  288. View Ridge Gallery Database Summary of Requirements
  289. The View Ridge Data Model
  290. Database Design with Data Keys
  291. Surrogate Key Database Design
  292. Minimum Cardinality Enforcement for Required Parents
  293. Minimum Cardinality Enforcement for the Required Child
  294. Column Properties for the View Ridge Database Design Tables
  295. Summary
  296. Key Terms
  297. Review Questions
  298. Exercises
  299. Case Questions
  300. Writer’s Patrol Case Questions
  301. San Juan Sailboat Charters Case Questions
  302. The Queen Anne Curiosity Shop Project Questions
  303. Morgan Importing Project Questions
  304. Part 3 Database Implementation
  305. 7 SQL for Database Construction and Application Processing
  306. Chapter Objectives
  307. The Importance of Working with an Installed DBMS Product
  308. The View Ridge Gallery Database
  309. SQL DDL and DML
  310. Managing Table Structure with SQL DDL
  311. Creating the VRG Database
  312. Using SQL Scripts
  313. Using the SQL CREATE TABLE Statement
  314. Variations in SQL Data Types and SQL/PSM
  315. Creating the VRG Database ARTIST Table
  316. Creating the VRG Database WORK Table and the 1:N ARTIST-to-WORK Relationship
  317. Implementing Required Parent Rows
  318. Implementing 1:1 Relationships
  319. Casual Relationships
  320. Creating Default Values and Data Constraints with SQL
  321. Implementing Default Values
  322. Implementing Data Constraints
  323. Creating the VRG Database Tables
  324. The SQL ALTER TABLE Statement
  325. Adding and Dropping Columns
  326. Adding and Dropping Constraints
  327. The SQL DROP TABLE Statement
  328. The SQL TRUNCATE TABLE Statement
  329. The SQL CREATE INDEX Statement
  330. SQL DML Statements
  331. The SQL INSERT Statement
  332. The SQL INSERT Statement Using Column Names
  333. Bulk INSERT
  334. Populating the VRG Database Tables
  335. The SQL UPDATE Statement
  336. Bulk Updates
  337. Updating Using Values from Other Tables
  338. The SQL MERGE Statement
  339. The SQL DELETE Statement
  340. Using SQL Views
  341. Using SQL Views to Hide Columns and Rows
  342. Using SQL Views to Display Results of Computed Columns
  343. Using SQL Views to Hide Complicated SQL Syntax
  344. Layering Built-in Functions
  345. Using SQL Views for Isolation, Multiple Permissions, and Multiple Triggers
  346. Updating SQL Views
  347. Embedding SQL in Program Code
  348. SQL/Persistent Stored Modules (SQL/PSM)
  349. Using SQL User-Defined Functions
  350. Using SQL Triggers
  351. Using Triggers to Provide Default Values
  352. Using Triggers to Enforce Data Constraints
  353. Using Triggers to Update Views
  354. Using Triggers to Implement Referential Integrity Actions
  355. Using Stored Procedures
  356. Advantages of Stored Procedures
  357. The WORK_AddWorkTransaction Stored Procedure
  358. Comparing User-Defined Functions, Triggers, and Stored Procedures
  359. Summary
  360. Key Terms
  361. Review Questions
  362. Wedgewood Pacific Review Questions
  363. Exercises
  364. Wedgewood Pacific Exercises
  365. Case Questions
  366. Heather Sweeney Designs Case Questions
  367. The Queen Anne Curiosity Shop Project Questions
  368. Morgan Importing Project Questions
  369. 8 Database Redesign
  370. Chapter Objectives
  371. The Need for Database Redesign
  372. SQL Statements for Checking Functional Dependencies
  373. What Is a Correlated Subquery?
  374. Searching for Multiple Rows with a Given Title
  375. A Correlated Subquery that Finds Rows with the Same Title
  376. What Is the Difference Between Regular and Correlated Subqueries?
  377. A Common Trap
  378. Using Correlated Subqueries to Check Functional Dependencies
  379. SQL Correlated Subqueries Using the EXISTS and NOT EXISTS Comparison Operators
  380. Using NOT EXISTS in a Double Negative
  381. The Double NOT EXISTS Query
  382. How Do I Analyze an Existing Database?
  383. Reverse Engineering
  384. Dependency Graphs
  385. Database Backup and Test Databases
  386. Changing Table Names and Table Columns
  387. Changing Table Names
  388. Adding and Dropping Columns
  389. Adding NOT NULL Columns
  390. Dropping Columns
  391. Changing a Column Data Type or Column Constraints
  392. Adding and Dropping Constraints
  393. Changing Relationship Cardinalities
  394. Changing Minimum Cardinalities
  395. Changing Minimum Cardinalities on the Parent Side
  396. Changing Minimum Cardinalities on the Child Side
  397. Changing Maximum Cardinalities
  398. Changing a 1:1 Relationship to a 1:N Relationship
  399. Changing a 1:N Relationship to an N:M Relationship
  400. Reducing Cardinalities (with Data Loss)
  401. Adding and Deleting Tables and Relationships
  402. Forward Engineering
  403. Summary
  404. Key Terms
  405. Review Questions
  406. Exercises
  407. Case Questions
  408. Marcia’s Dry Cleaning Case Questions
  409. The Queen Anne Curiosity Shop Project Questions
  410. Morgan Importing Project Questions
  411. Part 4 Enterprise Database Processing
  412. 9 Managing Enterprise Databases
  413. Chapter Objectives
  414. The Importance of Working with an Installed DBMS Product
  415. Database Administration
  416. Managing the Database Structure
  417. Configuration Control
  418. Documentation
  419. Physical Database Design and Optimization
  420. Concurrency Control
  421. The Need for Atomic Transactions
  422. Concurrent Transaction Processing
  423. The Lost Update Problem
  424. Resource Locking
  425. Lock Terminology
  426. Serializable Transactions
  427. Deadlock
  428. Optimistic Versus Pessimistic Locking
  429. SQL Transaction Control Language and Declaring Lock Characteristics
  430. Implicit and Explicit COMMIT TRANSACTION
  431. Consistent Transactions
  432. Transaction Isolation Level
  433. SQL Cursors
  434. Database Security
  435. Processing Rights and Responsibilities
  436. DBMS Security
  437. DBMS Security Guidelines
  438. Application Security
  439. The SQL Injection Attack
  440. Database Backup and Recovery
  441. Recovery via Reprocessing
  442. Recovery via Rollback/Rollforward
  443. Managing the DBMS
  444. Maintaining the Data Repository
  445. Summary
  446. Key Terms
  447. Review Questions
  448. Exercises
  449. Case Questions
  450. Marcia’s Dry Cleaning Case Questions
  451. The Queen Anne Curiosity Shop Project Questions
  452. Morgan Importing Project Questions
  453. 10 Managing Databases with Microsoft SQL Server 2019, Oracle Database, MySQL 8.0, and ArangoDB
  454. Chapter Objectives
  455. Installing the DBMS
  456. Using the DBMS in the Cloud
  457. Using the DBMS Database Administration and Database Development Utilities
  458. Creating a Database
  459. Creating and Running SQL Scripts
  460. Reviewing the Database Structure in the DBMS GUI Utility
  461. Creating and Populating the View Ridge Gallery VRG Database Tables
  462. Creating SQL Views for the View Ridge Gallery VRG Database
  463. Importing Microsoft Excel Data into a Database Table
  464. Database Application Logic and SQL/Persistent Stored Modules (SQL/PSM)
  465. DBMS Concurrency Control
  466. DBMS Security
  467. DBMS Database Backup and Recovery
  468. Other DBMS Topics Not Discussed
  469. Choose Your DBMS Product(s)!
  470. Summary
  471. Key Terms
  472. Exercises
  473. Part 5 Database Access Standards and Technology
  474. 11 The Web Server Environment
  475. Chapter Objectives
  476. A Web Database Application for the View Ridge Gallery
  477. Before You Read the Rest of Chapter!
  478. The Web Database Processing Environment
  479. Database Server Access Standards
  480. The ODBC Standard
  481. ODBC Architecture
  482. Conformance Levels
  483. ODBC Conformance Level
  484. SQL Conformance Level
  485. Creating an ODBC Data Source Name
  486. The Microsoft .NET Framework and ADO.NET
  487. OLE DB
  488. Goals of OLE DB
  489. OLE DB Terminology
  490. ADO and ADO.NET
  491. The ADO.NET Object Model
  492. The Java Platform
  493. JDBC
  494. Driver Types
  495. Using JDBC
  496. Java Server Pages (JSP) and Servlets
  497. Apache Tomcat
  498. Web Database Processing with PHP
  499. Web Database Processing with PHP and the NetBeans IDE
  500. Getting Started with HTML Web Pages
  501. The index.html Web Page
  502. Creating the index.html Web Page
  503. Using PHP
  504. The PHP Scripting Language
  505. The NetBeans Integrated Development Environment (IDE)
  506. The ReadArtist.php File
  507. Creating a Connection to the Database
  508. Creating a RecordSet
  509. Displaying the Results
  510. Disconnecting from the Database
  511. Web Page Examples with PHP
  512. Example 1: Updating a Table
  513. Example 2: Using PHP Data Objects (PDO)
  514. Example 3: Invoking a Stored Procedure
  515. Challenges for Web Database Processing
  516. SQL Injection Attacks
  517. Extensible Markup Language (XML)
  518. The Importance of XML
  519. XML as a Markup Language
  520. Creating XML Documents from Database Data
  521. Using the SQL SELECT . . . FOR XML Statement
  522. Summary
  523. Key Terms
  524. Review Questions
  525. Exercises
  526. Case Questions
  527. Marcia’s Dry Cleaning Case Question
  528. The Queen Anne Curiosity Shop Project Questions
  529. Morgan Importing Project Questions
  530. 12 Data Warehouses and Business Intelligence Systems
  531. Chapter Objectives
  532. Business Intelligence Systems
  533. The Relationship Between Operational and BI Systems
  534. Reporting Systems and Data Mining Applications
  535. Reporting Systems
  536. Data Mining Applications
  537. Data Warehouses and Data Marts
  538. Problems with Operational Data
  539. Components of a Data Warehouse
  540. Purchasing Data from Vendors
  541. Data Warehouses Versus Data Marts
  542. Dimensional Databases
  543. The Star Schema
  544. Illustrating the Dimensional Model
  545. Multiple Fact Tables and Conformed Dimensions
  546. Reporting Systems
  547. RFM Analysis
  548. Producing the RFM Report
  549. OLAP
  550. Reporting System Components
  551. Report Types
  552. Report Media
  553. Report Modes
  554. Reporting System Functions
  555. Report Authoring
  556. Report Management
  557. Report Delivery
  558. Data Mining
  559. Unsupervised Versus Supervised Data Mining
  560. Unsupervised Data Mining
  561. Supervised Data Mining
  562. Four Popular Data Mining Techniques
  563. Market Basket Analysis
  564. Decision Trees
  565. Summary
  566. Key Terms
  567. Review Questions
  568. Exercises
  569. Case Questions
  570. Marcia’s Dry Cleaning
  571. The Queen Anne Curiosity Shop Project Questions
  572. Morgan Importing Project Questions
  573. 13 Big Data, NoSQL, and the Cloud
  574. Chapter Objectives
  575. What Is Big Data?
  576. The Three Vs Plus One
  577. Volume
  578. Velocity
  579. Variety
  580. Veracity
  581. Big Data and NoSQL Systems
  582. The CAP Theorem
  583. Distributed Database Processing
  584. Types of Distributed Databases
  585. Challenges of Distributed Databases
  586. Object-Relational Databases
  587. Big Data Processing Models
  588. MapReduce
  589. Hadoop
  590. Non-Relational Database Management Systems
  591. Key-Value Databases
  592. Document Databases
  593. Column Family Databases
  594. Graph Databases
  595. Virtualization
  596. Cloud Computing
  597. Using a Cloud Database Management System
  598. Connecting to Microsoft Azure
  599. Creating a New SQL Database
  600. Setting Up Our Database Server Firewall Rules
  601. Migrating Our Existing Local HSD_DW Database to Azure
  602. Creating a New Relational Database on Microsoft Azure
  603. Creating and Using a NoSQL Document Database in Azure
  604. Cloud Reflections
  605. Big Data, NoSQL Systems, and the Future
  606. Summary
  607. Key Terms
  608. Review Questions
  609. Exercises
  610. Case Questions
  611. Marcia’s Dry Cleaning
  612. The Queen Anne Curiosity Shop Project Questions
  613. Morgan Importing Project Questions
  614. Online Appendices
  615. Bibliography
  616. Glossary
  617. Index
  618. Symbols
  619.  

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