Designing an efficient and well-structured database is crucial for managing and organizing data effectively. In this assignment, our task is to create a set of database objects and columns that align with the Final Project Data File. Additionally, we will write SQL queries to extract specific information from the database. This will allow us to provide insights and answers to various business-related questions.
Creating the Database Objects and Columns
To accomplish this task, we will follow the given requirements:
CREATE each object: a. We will create a schema called FP to encapsulate all the objects. b. Each table name will begin with our initials. c. All the columns provided in the spreadsheet will be included in the tables. d. We will use meaningful column names, avoiding generic names like column1, column2, etc. e. Relationships will be established to enforce referential integrity, ensuring foreign keys (FK) relate to primary keys (PK). f. Surrogate or primary keys will be created if necessary. g. Redundant data will be eliminated to optimize storage efficiency.
Inserting Data into the Database
Once the database objects and columns are created, we will proceed to insert the data provided in the Final Project Data File spreadsheet into the respective tables. This step ensures that our database contains the necessary information for further analysis and querying.
Writing DML SQL Queries
The next step involves writing Data Manipulation Language (DML) SQL queries to extract specific information from the database. We will address the following questions using JOIN operations without utilizing subqueries:
Show all suppliers where they are missing a fax number, sorted by the supplier phone number.
Show all products where the supplier is missing a fax number and the retail price of the product is over $50.00, sorted by the price of the product.
Show all orders that total over $3,000, including the order number, customer's first and last name, order date, product name, quantity, and the amount paid for each product (sales price, not total), sorted by the quantity of items.
Write a query that re-creates the original spreadsheet, ordered by the OrderNumber. We will replace the generic column names (column1, column2, etc.) with meaningful column names..
Extra Credit: Show the first and last name of customers who have spent more than $900 overall and live in France.
Ensuring SQL Functionality
To ensure the functionality and correctness of our SQL code, we will perform the following steps:
Include DROP statements at the beginning of the SQL code to allow for repeated testing and execution.
Adhere to the provided SQL template to maintain consistency and meet the assignment requirements.
Submit the SQL code in a single .SQL or .TXT file, avoiding additional files unless explicitly required.
Designing a well-structured database and writing efficient SQL queries are essential skills for managing and extracting valuable insights from data. Our team is well-equipped to handle these tasks and provide a reliable solution for your database design and querying needs. Feel free to contact us via email or our website, and let us assist you in optimizing your data management processes. We are committed to delivering accurate and functional SQL solutions tailored to your specific requirements.