1. Database Design Methodology

2. Lesson 1: Introduction to Databases

3. Objectives List database types (e.g., flat file, relational), and identify their uses and architectures Describe the types of database management system (DBMS), and explain the benefits and limitations of each DBMS type Analyze and select appropriate database designs, and identify the solution that addresses the application needs

4. What Is a Database? File-based databases –Flat-file databases The evolution of databases

5. Relational Databases and DBMSs Relational databases Structured Query Language Database administrator Advantages and disadvantages of DBMSs Choosing the correct database type

6. The Origins of Relational Databases Codd first proposed the relational data model in 1970 System R Development of SQL INGRES IBM UK Scientific Center

7. Summary List database types (e.g., flat file, relational), and identify their uses and architectures Describe the types of database management system (DBMS), and explain the benefits and limitations of each DBMS type Analyze and select appropriate database designs, and identify the solution that addresses the application needs

8. Lesson 2: Relational Database Fundamentals

9. Objectives Define common database architectures (e.g., single, multi-tier) Describe the function of Structured Query Language (SQL), including language subsets Describe the function of Data Definition Language (DDL) Describe the function of Data Manipulation Language (DML)

10. Objectives (cont’d) Describe the function of Data Control Language (DCL) Define essential database concepts and terms, including relation, relation name, table, row, column, value, relational algebra, data modeling, data relationship Explain the concepts of attribute, degree, tuple and cardinality

11. Objectives (cont’d) Define entities, including strong entities, weak entities List characteristics of relations (e.g., column characteristics, row characteristics) Describe table types (e.g., base tables, virtual tables) Distinguish between primary and foreign keys, including null value, composite key Explain data models in relational databases

12. Objectives (cont’d) Describe common database relationships (e.g., one to one, one to many, many to many) and identify the notation for such relationships (e.g., 1:n) Define relational integrity concepts, including domain constraints, entity and referential integrity views Explain the structure and purpose of a data dictionary

13. Multitier Database Architecture Two-tier client-server architecture –Fat client Three-tier client-server architecture –Thin client n-tier architecture

14. Relational Model Terminology Relational data structure Rows (tuples) Columns (attributes) Domains Degrees Cardinality Normalization

15. Using Tables to Represent Data Entities Characteristics of relations Types of tables Primary keys Foreign keys

16. Data Models Components –Structural information –Manipulative information –Integrity information

17. Entities and Data Relationships Entity-relationship (ER) modeling Strong entities Weak entities

18. Relational Integrity Domain constraints Entity integrity Referential integrity Views

19. Database Languages Data Definition Language Data Manipulation Language Data Control Language Data dictionaries

20. Summary Define common database architectures (e.g., single, multi-tier) Describe the function of Structured Query Language (SQL), including language subsets Describe the function of Data Definition Language (DDL) Describe the function of Data Manipulation Language (DML)

21. Summary (cont’d) Describe the function of Data Control Language (DCL) Define essential database concepts and terms, including relation, relation name, table, row, column, value, relational algebra, data modeling, data relationship Explain the concepts of attribute, degree, tuple and cardinality

22. Summary (cont’d) Define entities, including strong entities, weak entities List characteristics of relations (e.g., column characteristics, row characteristics) Describe table types (e.g., base tables, virtual tables) Distinguish between primary and foreign keys, including null value, composite key Explain data models in relational databases

23. Summary (cont’d) Describe common database relationships (e.g., one to one, one to many, many to many) and identify the notation for such relationships (e.g., 1:n) Define relational integrity concepts, including domain constraints, entity and referential integrity views Explain the structure and purpose of a data dictionary

24. Lesson 3: Database Planning

25. Objectives Describe the elements of a database planning strategy (e.g., defining the scope of a database application) List the necessary steps for creating a database requirements document, including conducting interviews, noting project constraints, identifying the precise duties of the database, creating a database design document

26. Objectives (cont’d) Explain the importance of data modeling and entity relationship diagrams during the planning stage (e.g., define the concept of an entity- relationship [ER] diagram) Create a database prototype Describe the purpose of database application testing, including white-box testing, black-box testing

27. Objectives (cont’d) List the criteria for selecting a database management system and an application interface Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

28. Database Design Life Cycle Create a database strategy Define database application scope Create a database requirements document Design the database Select a DBMS Design the database application Create database prototypes Test the database application Implement the database application Convert legacy data Maintain the database

29. Database Requirements Document Conducting interviews Requirements document information

30. Selecting a DBMS Selection criteria –Data definition functionality –Physical criteria –Access criteria –Transactions –Utilities –Development tools –Miscellaneous features

31. Selecting an Application Interface GUI considerations –Descriptive page titles –Clear instructions –Consistent grouping of input fields –Logically labeled fields –Consistent color use –Properly sized data entry fields –Logical cursor movement –Error messages –Clearly indicated optional fields –Completion message

32. Summary Describe the elements of a database planning strategy (e.g., defining the scope of a database application) List the necessary steps for creating a database requirements document, including conducting interviews, noting project constraints, identifying the precise duties of the database, creating a database design document

33. Summary (cont’d) Explain the importance of data modeling and entity relationship diagrams during the planning stage (e.g., define the concept of an entity-relationship [ER] diagram) Create a database prototype Describe the purpose of database application testing, including white-box testing, black-box testing

34. Summary (cont’d) List the criteria for selecting a database management system and an application interface Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

35. Lesson 4: Overview of Database Design Methodology

36. Objectives List the steps of the conceptual design phase (e.g., identifying entities, attribute domains, relationships) Describe how to identify entities List ways to identify attributes and attribute domains for entities

37. Objectives (cont’d) List ways to identify candidate and primary keys for entities Identify and determine data relationships Create an entity-relationship (ER) diagram Analyze an entity-relationship (ER) diagram or model to determine relation types

38. Objectives (cont’d) Define and describe domains Explain the results of poor database design, and describe insertion, deletion and update anomalies in databases Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

39. Effects of Poor Database Design Insertion anomalies Deletion anomalies Update anomalies

40. Database Design Phases Conceptual phase Logical phase Physical phase

41. Conceptual Database Design Identifying entities Identifying attributes and attribute domains for entities Identifying relationships Identifying candidate and primary keys for entities Creating an entity-relationship (ER) diagram Reviewing the ER model by the user and design team

42. Entity-Relationship Models Creating ER models Defining domains Common SQL data types Determining data relationships –Recursive relationships

43. Summary List the steps of the conceptual design phase (e.g., identifying entities, attribute domains, relationships) Describe how to identify entities List ways to identify attributes and attribute domains for entities

44. Summary (cont’d) List ways to identify candidate and primary keys for entities Identify and determine data relationships Create an entity-relationship (ER) diagram Analyze an entity-relationship (ER) diagram or model to determine relation types

45. Summary (cont’d) Define and describe domains Explain the results of poor database design, and describe insertion, deletion and update anomalies in databases Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

46. Lesson 5: Normalization

47. Objectives Distinguish between specific normal forms, including first normal form (1NF), second normal form (2NF), third normal form (3NF), Boyce-Codd normal form (BCNF) Describe the normalization process Define and explain determinant, decomposition and functional dependency

48. Objectives (cont’d) Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

49. What Is Normalization? Normal forms First normal form –First normal form anomalies Second normal form –Second normal form anomalies Third normal form Boyce-Codd normal form

50. Related Concepts Decomposition Atomic value Partial functional dependency Transitive dependency Denormalization

51. Summary Distinguish between specific normal forms, including first normal form (1NF), second normal form (2NF), third normal form (3NF), Boyce-Codd normal form (BCNF) Describe the normalization process Define and explain determinant, decomposition and functional dependency

52. Summary (cont’d) Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

53. Lesson 6: Logical Database Design

54. Objectives Explain the structure and purpose of a data dictionary Identify logical database design issues List the steps of the logical database design phase (e.g., creating a raw data model; identifying and documenting entities, attributes, relationships, domains, and candidate and primary keys)

55. Objectives (cont’d) Identify the cardinality of data relationships Identify and resolve inexpedient data relationships Create an integrated logical data model from a conceptual data model Use Data Definition Language (DDL)

56. Objectives (cont’d) Validate a logical data model against user operations and system requirements Define integrity constraints (e.g., necessary data, domain constraints, entity integrity, referential integrity) Create corporate and enterprise data models based on user views of data

57. Objectives (cont’d) Validate the enterprise data model Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

58. Logical Database Design Logical data models –One-to-one –One-to-many –Many-to-many

59. Creating a Logical Data Model Data model refinement Logical data model creation Normalization Logical data model creation Data model refinement Normalization

60. Using a Database Definition Language Data dictionaries Validating the logical data model

61. Defining Integrity Constraints Necessary data Domain constraints Entity integrity Referential integrity Enterprise constraints

62. Creating an Enterprise Data Model User views Normalization Validating data operations

63. Summary Explain the structure and purpose of a data dictionary Identify logical database design issues List the steps of the logical database design phase (e.g., creating a raw data model; identifying and documenting entities, attributes, relationships, domains, and candidate and primary keys)

64. Summary (cont’d) Identify the cardinality of data relationships Identify and resolve inexpedient data relationships Create an integrated logical data model from a conceptual data model Use Data Definition Language (DDL)

65. Summary (cont’d) Validate a logical data model against user operations and system requirements Define integrity constraints (e.g., necessary data, domain constraints, entity integrity, referential integrity) Create corporate and enterprise data models based on user views of data

66. Summary (cont’d) Validate the enterprise data model Describe database design steps, including determining the proper steps in creating entities, applying normalization, selecting a database management system (DBMS)

67. Lesson 7: Physical Database Design

68. Objectives List the elements of physical database design Determine physical database design issues Describe how to create base relations for a target database management system (DBMS) using Data Definition Language (DDL)

69. Objectives (cont’d) Identify and create enterprise constraints for a target DBMS Define secondary indexes and determine when to use them Create a base relation Identify referential constraints

70. Objectives (cont’d) Explain denormalization and describe when it is necessary Create user views (e.g., the CREATE VIEW SQL statement) Design database access rules

71. Objectives (cont’d) Use appropriate commands to create, insert and retrieve data from a database table, including the SELECT, CREATE TABLE and CREATE VIEW statements

72. Physical Database Design Creating base relations for a target DBMS Data Definition Language

73. Creating Enterprise Constraints Determining referential constraints

74. Using Secondary Indexes A secondary index is a mechanism that creates an additional key for a relation

75. Denormalization The process of reuniting relations that were split during the normalization process to improve performance

76. Creating User Views Determine the appropriate data to be included with each particular view

77. Designing Database Access Rules Identifiers Privileges –SELECT –UPDATE –DELETE

78. Summary List the elements of physical database design Determine physical database design issues Describe how to create base relations for a target database management system (DBMS) using Data Definition Language (DDL)

79. Summary (cont’d) Identify and create enterprise constraints for a target DBMS Define secondary indexes and determine when to use them Create a base relation Identify referential constraints

80. Summary (cont’d) Explain denormalization and describe when it is necessary Create user views (e.g., the CREATE VIEW SQL statement) Design database access rules

81. Summary (cont’d) Use appropriate commands to create, insert and retrieve data from a database table, including the SELECT, CREATE TABLE and CREATE VIEW statements

82. Lesson 8: Structured Query Language

83. Objectives Perform data manipulation Describe basic SQL syntax List data types used in SQL, including SMALLINT, DECIMAL (p, q), CHAR(n) and TIMESTAMP Define the term schema in relation to databases Create a schema using the CREATE SCHEMA statement

84. Objectives (cont’d) Drop schemas from a database using the DROP SCHEMA statement Use appropriate commands to create, insert and retrieve data from a database table, including using the SELECT, CREATE TABLE and CREATE VIEW statements Use the INSERT command appropriately

85. Objectives (cont’d) Use appropriate UPDATE and DELETE statements to update or delete information from a database, including working with tuples Use the DISTINCT keyword Compose predicates and other statements using the WHERE clause

86. Objectives (cont’d) Identify the use and structure of Boolean operators Describe SQL special operators and ORDER BY clauses (e.g., the IN, BETWEEN and LIKE operators) Deploy the ORDER BY clause to order output by column or group of columns

87. Objectives (cont’d) Retrieve data from relations using the SELECT statement Create statements using the GRANT keyword to control user access to relations Use the REVOKE keyword to limit access

88. SQL Basics Subsets of SQL SQL features Data types

89. Data Definition Language Creating a schema Altering and dropping relations and views

90. Data Manipulation Language Inserting values into relations Deleting records from relations Updating values in relations Retrieving data from relations Aliases SQL special operators and ORDER BY clauses

91. Data Control Language Granting privileges Revoking privileges

92. Summary Perform data manipulation Describe basic SQL syntax List data types used in SQL, including SMALLINT, DECIMAL (p, q), CHAR9n) and TIMESTAMP Define the term schema in relation to databases Create a schema using the CREATE SCHEMA statement

93. Summary (cont’d) Drop schemas from a database using the DROP SCHEMA statement Use appropriate commands to create, insert and retrieve data from a database table, including using the SELECT, CREATE TABLE and CREATE VIEW statements Use the INSERT command appropriately

94. Summary (cont’d) Use appropriate UPDATE and DELETE statements to update or delete information from a database, including working with tuples Use the DISTINCT keyword Compose predicates and other statements using the WHERE clause

95. Summary (cont’d) Identify the use and structure of Boolean operators Describe SQL special operators and ORDER BY clauses (e.g., the IN, BETWEEN and LIKE operators) Deploy the ORDER BY clause to order output by column or group of columns

96. Summary (cont’d) Retrieve data from relations using the SELECT statement Create statements using the GRANT keyword to control user access to relations Use the REVOKE keyword to limit access

97. Lesson 9: Relational Algebra

98. Objectives Describe a selection operation Create a projection operation Explain and use a Cartesian product operation Create unions Define a set difference operation

99. Objectives (cont’d) Describe an intersection operation Create a theta-join Use a natural join Create an equi-join Create an outer join

100. Defining Relational Algebra Selection Projection Cartesian product Union Difference Intersection Joins

101. Summary Describe a selection operation Create a projection operation Explain and use a Cartesian product operation Create unions Define a set difference operation

102. Summary (cont’d) Describe an intersection operation Create a theta-join Use a natural join Create an equi-join Create an outer join

103. Lesson 10: Transactions and Database Security

104. Objectives Define the concept of a transaction, including use of the INSERT, DELETE and UPDATE operations Identify the two results of a transaction (commit and rollback) Describe the four desirable "ACID" properties (atomicity, consistency, isolation, durability)

105. Objectives (cont’d) Define serializability in relation to a DBMS List concurrency control methods, including locking and timestamps Describe the steps involved in optimistic concurrency control (e.g., reading, validation, writing), including knowing when and when not to use optimistic concurrency control

106. Objectives (cont’d) Identify issues that can occur if concurrency control is not enacted property (e.g., dirty reads, lost and uncommitted updates, unrepeatable query results) Identify issues and determine the scope of database security (e.g., theft, privacy, integrity control, availability)

107. Objectives (cont’d) List typical security threats to databases Describe database countermeasure and protection techniques (e.g., encryption, ways to create views)

108. Transactions Commit Rollback ACID properties –Atomicity –Consistency –Isolation –Durability

109. Concurrency Control Lost updates Uncommitted updates Unrepeatable query results Serializability Concurrency control methods –Locking –Timestamps Optimistic concurrency control

110. Database Security The scope of database security Types of security threats Types of protection techniques

111. Summary Define the concept of a transaction, including use of the INSERT, DELETE and UPDATE operations Identify the two results of a transaction (commit and rollback) Describe the four desirable "ACID" properties (atomicity, consistency, isolation, durability)

112. Summary (cont’d) Define serializability in relation to a DBMS List concurrency control methods, including locking and timestamps Describe the steps involved in optimistic concurrency control (e.g., reading, validation, writing), including knowing when and when not to use optimistic concurrency control

113. Summary (cont’d) Identify issues that can occur if concurrency control is not enacted property (e.g., dirty reads, lost and uncommitted updates, unrepeatable query results) Identify issues and determine the scope of database security (e.g., theft, privacy, integrity control, availability)

114. Summary (cont’d) List typical security threats to databases Describe database countermeasure and protection techniques (e.g., encryption, ways to create views)

115. Database Design Methodology Introduction to Databases Relational Database Fundamentals Database Planning Overview of Database Design Methodology Normalization

116. Database Design Methodology Logical Database Design Physical Database Design Structured Query Language Relational Algebra Transactions and Database Security

117. Database Design Methodology For information about the CIW Database Specialist exam and certification, visit www.CIW-certified.com