Sams teach yourself SQL in 24 hours

Sams teach yourself SQL in 24 hours

Ryan K. Stephens

Book - 2022

Featuring step-by-step instructions that walk you through the most common SQL tasks, this authoritative resource helps you use SQL to build effective data bases, efficiently review data and manage everything from performance to security.

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Subjects
SQL (Computer program language)
Database design.
Database management.
Instructional and educational works.
Genres
Instructional and educational works
Published
[River, New Jersey] : Pearson Educationm Inc [2022]
Language
English
Main Author
Ryan K. Stephens (author)
Edition
Seventh edition
Item Description
Includes index.
Physical Description
xiii, 601 pages : illustrations ; 24 cm
ISBN
9780137543120
  • Hour 1. Understanding the Relational Database and SQL
  • Thriving in a Data-Driven World
  • Understanding the Relational Database
  • The Relational Database Continues to Lead the Way
  • Examples and Exercises
  • Summary
  • Q&A
  • Workshop
  • Hour 2. Exploring the Components of the SQL Language
  • SQL Definition and History
  • SQL: The Standard Language
  • SQL Sessions
  • Types of SQL Commands
  • Summary
  • Q&A
  • Workshop
  • Hour 3. Getting to Know Your Data
  • The Bird Database: Examples and Exercises in This Book
  • How to Talk About the Data
  • Entity Relationship Diagrams
  • Examples and Exercises
  • Summary
  • Q&A
  • Workshop
  • Hour 4. Setting Up Your Database
  • Locating the Files You Need
  • Getting Set Up for Hands-on Exercises
  • List of Data by Table
  • Summary
  • Q&A
  • Workshop
  • Hour 5. Understanding the Basics of Relational (SQL) Database Design
  • Understanding What Database Design Has to Do with SQL
  • The Database Design Process
  • Choosing a Database Design Methodology
  • Using a Simple Process to Think Through the Design of the Birds Database
  • Logical Model vs. Physical Design
  • Database Life Cycle
  • Summary
  • Q&A
  • Workshop
  • Hour 6. Defining Entities and Relationships
  • Creating a Data Model Based on Your Data
  • Defining Relationships
  • Employing Referential Integrity
  • Creating an Entity Relationship
  • Summary
  • Q&A
  • Workshop
  • Hour 7. Normalizing Your Database
  • Defining Normalization
  • Exploring the Most Common Normal Forms of the Normalization Process
  • Denormalizing a Database
  • Applying Normalization to Your Database
  • Summary
  • Q&A
  • Workshop
  • Hour 8. Defining Data Structures
  • Defining Data
  • Understanding Basic Data Types
  • Using Data Types in the Birds Database
  • Summary
  • Q&A
  • Workshop
  • Hour 9. Creating and Managing Database Objects
  • Database Objects and Schemas
  • Tables: The Primary Storage for Data
  • Integrity Constraints
  • Summary
  • Q&A
  • Workshop
  • Hour 10. Manipulating Data
  • Getting an Overview of Data Manipulation
  • Populating Tables with New Data
  • Updating Existing Data
  • Deleting Data from Tables
  • Summary
  • Q&A
  • Workshop
  • Hour 11. Managing Database Transactions
  • Defining Transactions
  • Controlling Transactions
  • Dealing with Poor Transactional Control
  • Summary
  • Q&A
  • Workshop
  • Hour 12. Introduction to Database Queries
  • Using the SELECT Statement
  • Case Sensitivity
  • Fundamentals of Query Writing
  • Summary
  • Q&A
  • Workshop
  • Hour 13. Using Operators to Categorize Data
  • Defining an Operator in SQL
  • Using Comparison Operators
  • Using Logical Operators
  • Using Conjunctive Operators
  • Using Negative Operators
  • Using Arithmetic Operators
  • Summary
  • Q&A
  • Workshop
  • Hour 14. Joining Tables in Queries
  • Selecting Data from Multiple Tables
  • Understanding Joins
  • Join Considerations
  • Summary
  • Q&A
  • Workshop
  • Hour 15. Restructuring the Appearance of Data
  • ANSI Character Functions
  • Common Character Functions
  • Miscellaneous Character Functions
  • Mathematical Functions
  • Conversion Functions
  • Combined Character Functions
  • Summary
  • Q&A
  • Workshop
  • Hour 16. Understanding Dates and Times
  • Understanding How a Date Is Stored
  • Using Date Functions
  • Converting Dates
  • Summary
  • Q&A
  • Workshop
  • Hour 17. Summarizing Data Results from a Query
  • Using Aggregate Functions
  • Grouping Data
  • Using the GROUP by Clause
  • Understanding the Difference Between Group by and Order by
  • Using Cube and Rollup Expressions
  • Using the Having Clause
  • Summary
  • Q&A
  • Workshop
  • Hour 18. Using Subqueries to Define Unknown Data
  • Defining Subqueries
  • Embedded Subqueries
  • Using Correlated Subqueries
  • Summary
  • Q&A
  • Workshop
  • Hour 19. Combining Multiple Queries into One
  • Differentiating Single Queries and Compound Queries
  • Using Compound Query Operators
  • Using Order by with a Compound Query
  • Using Group by with a Compound Query
  • Retrieving Accurate Data
  • Summary
  • Q&A
  • Workshop
  • Hour 20. Creating and Using Views and Synonyms
  • Defining Views
  • Creating Views
  • Updating Data Through a View
  • Dropping a View
  • Understanding the Performance Impact of Nested Views
  • Defining Synonyms
  • Summary
  • Q&A
  • Workshop
  • Hour 21. Managing Database Users and Security
  • Managing Users in the Database
  • Understanding the Management Process
  • Maximizing Tools Utilized by Database Users
  • Understanding Database Security
  • Assigning Privileges
  • Controlling User Access
  • Controlling Privileges Through Roles
  • Summary
  • Q&A
  • Workshop
  • Hour 22. Using Indexes to Improve Performance
  • Defining an Index
  • Understanding How Indexes Work
  • Using the Create Index Command
  • Identifying Types of Indexes
  • Knowing When to Consider Using an Index
  • Knowing When to Avoid Indexes
  • Altering an Index
  • Dropping an Index
  • Summary
  • Q&A
  • Workshop
  • Hour 23. Improving Database Performance
  • Defining SQL Statement Tuning
  • Comparing Database Tuning and SQL Statement Tuning
  • Formatting Your SQL Statement
  • Running Full Table Scans
  • Identifying Other Performance Considerations
  • Using Cost-Based Optimization
  • Summary
  • Q&A
  • Workshop
  • Hour 24. Working with the System Catalog
  • Defining the System Catalog
  • Creating the System Catalog
  • Determining What Is Contained in the System Catalog
  • Identifying System Catalog Tables by Implementation
  • Querying the System Catalog
  • Updating System Catalog Objects
  • Summary
  • Q&A
  • Workshop
  • Hour 25. Bonus Workshop, for the Road
  • The Birds Database
  • Predators of Birds
  • Photographers of Birds
  • Creating the New Tables
  • Workshop: Describing Your Tables
  • Workshop: Basic Queries
  • Workshop: Adding Tables
  • Workshop: Manipulating Data
  • Workshop: Joining Tables
  • Workshop: Comparison Operators
  • Workshop: Logical Operators
  • Workshop: Conjunctive Operators
  • Workshop: Arithmetic Operators
  • Workshop: Character Functions
  • Workshop: Aggregating Data
  • Workshop: Group by and Having
  • Workshop: Composite Queries
  • Workshop: Creating Tables from Existing Tables
  • Workshop: Inserting Data into a Table from Another Table
  • Workshop: Creating Views
  • Workshop: Embedding Subqueries
  • Workshop: Creating Views from Subqueries
  • Workshop: Generating SQL Code from a SQL Statement
  • Summary
  • Workshop
  • Appendixes
  • Appendix A. Common SQL Commands
  • SQL Statements
  • SQL Query Clauses
  • Appendix B. Popular Vendor RDBMS Implementations
  • Installing the Oracle Database Software Used for Examples and Hands-On Exercises
  • Appendix C. Answers to Quizzes and Exercises
  • Hour 1, "Understanding the Relational Database and SQL"
  • Hour 2, "Exploring the Components of the SQL Language"
  • Hour 3, "Getting to Know Your Data"
  • Hour 4, "Setting Up Your Database"
  • Hour 5, "Understanding the Basics of Relational (SQL) Database Design"
  • Hour 6, "Defining Entities and Relationships"
  • Hour 7, "Normalizing Your Database"
  • Hour 8, "Defining Data Structures"
  • Hour 9, "Creating and Managing Database Objects"
  • Hour 10, "Manipulating Data"
  • Hour 11, "Managing Database Transactions"
  • Hour 12, "Introduction to Database Queries"
  • Hour 13, "Using Operators to Categorize Data"
  • Hour 14, "Joining Tables in Queries"
  • Hour 15, "Restructuring the Appearance of Data"
  • Hour 16, "Understanding Dates and Times"
  • Hour 17, "Summarizing Data Results from a Query"
  • Hour 18, "Using Subqueries to Define Unknown Data"
  • Hour 19, "Combining Multiple Queries into One"
  • Hour 20, "Creating and Using Views and Synonyms"
  • Hour 21, "Managing Database Users and Security"
  • Hour 22, "Using Indexes to Improve Performance"
  • Hour 23, "Improving Database Performance"
  • Hour 24, "Working with the System Catalog"
  • Hour 25, "Bonus Workshop for the Road"
  • Index

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