Demonstrate Your Knowledge Of SQL Prompt 1 Tables Community

Demonstrate Your Knowledge Of Sqlprompt 1 Tablesa Community College Us

Demonstrate Your Knowledge Of SQL Prompt 1 Tables a community college uses the following tables to track each student’s progress: Class, Student, and Enrollment tables with their respective columns and data. The assignment involves writing various SQL queries, updates, inserts, deletes, and other operations according to specific questions, such as retrieving certain records, performing aggregations, modifying data, creating views, and more, all without or with certain restrictions like avoiding subqueries unless instructed otherwise.

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The provided task involves demonstrating proficiency in SQL by working with three core tables—Class, Student, and Enrollment—related to a community college's database system. The questions range from simple data retrieval to complex operations involving aggregation, data modification, and table management, all aimed at assessing comprehensive SQL skills within a structured database environment.

Retrieval of Specific Data

Initially, the exercise requires constructing queries to extract information based on particular criteria. For example, retrieving all records from the Enrollment table where students achieved grades of A or B necessitates using the WHERE clause with multiple conditions combined via OR or IN. Similarly, fetching students enrolled in Geometry involves joining the Student and Enrollment tables through the class_id corresponding to Geometry, demanding knowledge of SELECT and JOIN operations, whether explicit or implicit (again, as per question constraints).

Filtering and Conditional Queries

Further, questions regarding filtering out failing grades (F) or students who have no enrollments demand understanding of null values, outer joins, and filtering conditions. For instance, identifying students with no class enrollments can involve correlated and non-correlated subqueries to compare data across tables. Additionally, excluding rows based on grade conditions illustrates filtering techniques.

Data Modification and Insertion

Modifying student grades (question 6) involves UPDATE statements specifying criteria such as student_id, class_id, and new grade. Creating new student entries, like Michael Cronin, requires INSERT statements, considering unique student_id values and data integrity. Subsequently, associating new students with classes through INSERT into Enrollment showcases data insertion strategies, including potentially involving subqueries for fetching student_id based on names.

Aggregation and Counting

Aggregation questions feature counting students per course, using COUNT() functions with GROUP BY clauses. For instance, counting total students enrolled in each class involves grouping enrollments by class_id and aggregating with COUNT. Ranking students or class enrollments, in turn, necessitates using ranking functions or window functions with ORDER BY, especially for questions about top-performing students or most popular courses.

Data Updating and Deletion

Updating specific grades, such as changing Robert Smith's English grade from B to B+, and removing students with no enrollments involves UPDATE and DELETE statements with appropriate WHERE clauses, demonstrating the capacity to modify and clean database records.

Transitioning to the second part involving a Customer_Order database highlights additional SQL capabilities. Tasks include retrieving unique customer IDs with SELECT DISTINCT, extracting latest order dates with MAX() functions, sorting results with ORDER BY, and working with grouped data via GROUP BY. Complex filtering based on order counts on specific dates or quantities necessitates grouping, filtering, and sometimes inner or outer joins to relate data among Customer and Customer_Order tables.

The questions also entail creating views, calculating percentages, and performing date-based calculations, such as prior month sales, requiring understanding of date functions and subqueries or window functions. Moreover, inserting new entries, updating values, and using transactional control statements to execute multiple commands as a single unit reflect practical data management skills.

Lastly, the advanced questions about regional sales and products involve creating CASE expressions, pivoting data for comparative analyses, ranking sales via window functions, and inserting new data into multiple tables within transactions. These demonstrate both analytical and operational competence in SQL, emphasizing data transformation, summary, ranking, and consistency across tables.

Overall, this assignment comprehensively tests core and advanced SQL skills, including data retrieval, filtering, joining, aggregating, updating, deleting, creating views, transactions, and data analysis, applicable to real-world database scenarios used in educational and corporate contexts.

References

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