Book Image

The SQL Workshop

By : Frank Solomon, Prashanth Jayaram, Awni Al Saqqa
Book Image

The SQL Workshop

By: Frank Solomon, Prashanth Jayaram, Awni Al Saqqa

Overview of this book

Many software applications are backed by powerful relational database systems, meaning that the skills to be able to maintain a SQL database and reliably retrieve data are in high demand. With its simple syntax and effective data manipulation capabilities, SQL enables you to manage relational databases with ease. The SQL Workshop will help you progress from basic to advanced-level SQL queries in order to create and manage databases successfully. This Workshop begins with an introduction to basic CRUD commands and gives you an overview of the different data types in SQL. You'll use commands for narrowing down the search results within a database and learn about data retrieval from single and multiple tables in a single query. As you advance, you'll use aggregate functions to perform calculations on a set of values, and implement process automation using stored procedures, functions, and triggers. Finally, you'll secure your database against potential threats and use access control to keep your data safe. Throughout this Workshop, you'll use your skills on a realistic database for an online shop, preparing you for solving data problems in the real world. By the end of this book, you'll have built the knowledge, skills and confidence to creatively solve real-world data problems with SQL.
Table of Contents (13 chapters)

5. Shaping Data with the WHERE Clause

Activity 5.01: Combining Conditions to Extract Store Data

Solution:

  1. First, enter the SELECT statement. This is used so as to display the results using the requested column names:
    SELECT   
        ProductName as 'Product Name',  
        NetRetailPrice as 'Product Retail Price', 
        AvailableQuantity as 'Available Quantity'    
    From Products   
    WHERE NetRetailPrice <= 24.99   
        AND AvailableQuantity >=38  
  2. Execute the query, you should get the following output in the result grid:

Figure 5.19: Columns from the Customers table