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SQL Queries for Mere Mortals

SQL is the standard language for communicating with most database systems. Any time you import data into a spreadsheet or perform a merge into a word processing program, you’re most likely using SQL in some form or another. Learn SQL and gain a hands-on experience in SQL with the course SQL Queries for Mere Mortals 4e. This course is designed for a beginning database user and it is also for an expert user who is suddenly faced with solving complex problems or integrating multiple systems that support SQL. This course has well-descriptive interactive lessons containing knowledge checks, quizzes, flashcards, and glossary terms to get a detailed understanding of SQL Queries.
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  • Delivery method: eLearning
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Test Prep
83+ Pre Assessment Questions | 2+ Full Length Tests | 83+ Post Assessment Questions | 165+ Practice Test Questions
Features
45+ LiveLab | 45+ Video tutorials | 55+ Minutes
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Outline

Lessons 1:
Introduction

  • Are You a Mere Mortal?
  • About This Course
  • What This Course Is Not
  • How to Use This Course
  • Reading the Diagrams Used in This Course
  • Sample Databases Used in This Course

Lessons 2:
What Is Relational?

  • Types of Databases
  • A Brief History of the Relational Model
  • Anatomy of a Relational Database
  • What’s in It for You?
  • Summary

Lessons 3:
Ensuring Your Database Structure Is Sound

  • Why Is this Lesson Here?
  • Why Worry about Sound Structures?
  • Fine-Tuning Columns
  • Fine-Tuning Tables
  • Establishing Solid Relationships
  • Is That All?
  • Summary

Lessons 4:
A Concise History of SQL

  • The Origins of SQL
  • Early Vendor Implementations
  • “… And Then There Was a Standard”
  • Evolution of the ANSI/ISO Standard
  • Commercial Implementations
  • What the Future Holds
  • Why Should You Learn SQL?
  • Which Version of SQL Does this Course Cover?
  • Summary

Lessons 5:
Creating a Simple Query

  • Introducing SELECT
  • The SELECT Statement
  • A Quick Aside: Data versus Information
  • Translating Your Request into SQL
  • Eliminating Duplicate Rows
  • Sorting Information
  • Saving Your Work
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 6:
Getting More Than Simple Columns

  • What Is an Expression?
  • What Type of Data Are You Trying to Express?
  • Changing Data Types: The CAST Function
  • Specifying Explicit Values
  • Types of Expressions
  • Using Expressions in a SELECT Clause
  • That “Nothing” Value: Null
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 7:
Filtering Your Data

  • Refining What You See Using WHERE
  • Defining Search Conditions
  • Using Multiple Conditions
  • Nulls Revisited: A Cautionary Note
  • Expressing Conditions in Different Ways
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 8:
Thinking in Sets

  • What Is a Set, Anyway?
  • Operations on Sets
  • Intersection
  • Difference
  • Union
  • SQL Set Operations
  • Summary

Lessons 9:
INNER JOINs

  • What Is a JOIN?
  • The INNER JOIN
  • Uses for INNER JOINs
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 10:
OUTER JOINs

  • What Is an OUTER JOIN?
  • The LEFT/RIGHT OUTER JOIN
  • The FULL OUTER JOIN
  • Uses for OUTER JOINs
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 11:
UNIONs

  • What Is a UNION?
  • Writing Requests with UNION
  • Uses for UNION
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 12:
Subqueries

  • What Is a Subquery?
  • Subqueries as Column Expressions
  • Subqueries as Filters
  • Uses for Subqueries
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 13:
Simple Totals

  • Aggregate Functions
  • Using Aggregate Functions in Filters
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 14:
Grouping Data

  • Why Group Data?
  • The GROUP BY Clause
  • “Some Restrictions Apply”
  • Uses for GROUP BY
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 15:
Filtering Grouped Data

  • A New Meaning for “Focus Groups”
  • Where You Filter Makes a Difference
  • Uses for HAVING
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 16:
Updating Sets of Data

  • What Is an UPDATE?
  • The UPDATE Statement
  • Some Database Systems Allow a JOIN in the UPDATE Clause
  • Uses for UPDATE
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 17:
Inserting Sets of Data

  • What Is an INSERT?
  • The INSERT Statement
  • Uses for INSERT
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 18:
Deleting Sets of Data

  • What Is a DELETE?
  • The DELETE Statement
  • Uses for DELETE
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 19:
“NOT” and “AND” Problems

  • A Short Review of Sets
  • Finding Out the “Not” Case
  • Finding Multiple Matches in the Same Table
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 20:
Condition Testing

  • Conditional Expressions (CASE)
  • Solving Problems with CASE
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 21:
Using Unlinked Data and “Driver” Tables

  • What Is Unlinked Data?
  • Solving Problems with Unlinked Data
  • Solving Problems Using “Driver” Tables
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 22:
Performing Complex Calculations on Groups

  • Grouping in Sub-Groups
  • Extending the GROUP BY Clause
  • Getting Totals in a Hierarchy Using Rollup
  • Calculating Totals on Combinations Using CUBE
  • Creating a Union of Totals with GROUPING SETS
  • Variations on Grouping Techniques
  • Sample Statements
  • Summary
  • Problems for You to Solve

Lessons 23:
Partitioning Data into Windows

  • What You Can Do With a “Window” into Your Data
  • Calculating a Row Number
  • Ranking Data
  • Splitting Data into Quintiles
  • Using Windows with Aggregate Functions
  • Sample Statements
  • Summary
  • Problems for You to Solve

Appendix A: SQL Standard Diagrams

Appendix B: Schema for the Sample Databases

  • Sales Orders Example Database
  • Sales Orders Modify Database
  • Entertainment Agency Example Database
  • Entertainment Agency Modify Database
  • School Scheduling Example Database
  • School Scheduling Modify Database
  • Bowling League Example Database
  • Bowling League Modify Database
  • Recipes Database
  • “Driver” Tables

Appendix C: Date and Time Types, Operations, and Functions

  • IBM DB2
  • Microsoft Access
  • Microsoft SQL Server
  • MySQL
  • Oracle
  • PostgreSQL