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 Course Description

This course presents advanced concepts in the SQL programming language to cover multi-table database, and advanced query options. The data definition language (DDL) elements will be fully covered, including working with Entity-Relationship (ER) diagrams and options for implementing indexes.

By successfully completing this course you will earn 3 units of college credit.

 Course Objectives

• Design, code and implement base schema objects, constraints, and indexes using the data definition language elements of SQL.
• Examine ER diagrams and translate those models into the appropriate and necessary database constructs.
• Create programming solutions that use data structures and existing libraries.
• Define and describe these terms: Cartesian product, cross product, cross join, inner join, outer join, left join, right join, full join, equi-join, self-join.
• Construct table joins using the 1989 standard (i.e. traditional method) and construct table-joins using the 1992 standard (i.e. Join Method).
• Evaluate the need for disabling/enabling constraints in conjunction with DML statements.
• Revise and rewrite subqueries and correlated subqueries as joins.
• Assess the need for advanced reporting features and where appropriate incorporate ROLLUP and/or CUBE group operations in a SQL program.
• Demonstrate working effectively as a member of a team to accomplish common goals.
• Analyze technical information, as well as listen effectively to, communicate orally with, and prepare memos, reports and documentation for a wide range of audiences.
• Investigate and assess new sources of information and learning opportunities to stay abreast of emerging information and computing technologies.
• List career paths related to the program of study, as well as any qualifications and/or professional certifications that may be associated with those careers.

 Course Learning Outcomes

• Prepare SQL statements that will perform complex joins using data manipulation language elements.
• Evaluate SQL commands for processing efficiency.
• Evaluate and improve a data model using the higher-order rules of normalization.
• Understand common uses of database triggers and stored procedures.
• Use the data control language elements of SQL to support database administration tasks related to defining and managing user roles