1. SQL - Structured Query Language For database analyses

2. SQL – Structured Query Language SQL is designed to do variable selection and manipulation on data stored in multiple tables Why multiple tables? (aka database) Avoid duplication of information Ease of updating information Linked by unique identifiers/codes Where would we use? A single entity with many different operations with common information

3. University Many functions: students taking classes & getting grades, scheduling classes in rooms, students paying tuition & fees, faculty teaching classes, faculty getting paid, etc Tables of Students, faculty with demographics Students*classes, faculty*classes Tuition payments, faculty payroll, etc. Linked by studentID, facultyID, classID, etc

4. Business Multiple functions including selling, buying, production, and paying employees Tables of orders, suppliers, customers, products, accounts payable & receivable, payroll, …. Linked by productID, customerID, …

5. Baseball Lahman database – season summaries Tables of teams, batting (player*season), pitching (player*season), salaries, demographics (Master) Linked by playerID, teamID, etc. Why baseball? Nonproprietary, not small, interesting? … maybe

6. In SAS PROC SQL Designed to run interactively (end with QUIT;) Tables are stored as SAS datasets Let’s look at the baseball data in SAS….