This reading introduces SQL as a data modeling and definition language — not just a query tool — explaining how DDL statements shape database structure, and learners use it to reframe their understanding of SQL's role before studying schema design.
Topics
This module covers 5 topics. Open a topic to see its subtopics.
Module Content
12 items.
-
-
This reading explains the foundations of the relational model, including how data is organized into tables, rows, columns, keys, and relationships, giving learners and instructors a conceptual grounding before moving into SQL syntax and design.
-
This reading covers logical data modeling concepts such as entities, attributes, and relationships, explaining how to design a structured representation of a business domain before translating it into SQL, serving as a pre-coding design reference for learners.
-
This reading explains how to create and define a database schema using SQL DDL, covering tables, columns, data types, constraints, and relationships, so learners can translate a logical model into a working database structure.
-
This reading describes the end-to-end database design workflow — from gathering business requirements through logical and physical design to writing SQL — helping learners and instructors understand where each activity fits in the overall process.
-
This reading describes the end-to-end database design workflow — from gathering business requirements through logical and physical design to writing SQL — helping learners and instructors understand where each activity fits in the overall process.
-
An introductory reading that reframes SQL from a query language into a data definition language, explaining how DDL statements declare tables, columns, data types, and integrity rules before any data can be queried — used as the opening orientation for the module.
-
A foundational reading on the relational model covering tables (relations), rows (records), columns (attributes), typed values, and keys, giving learners the mental picture they need before writing database-defining SQL.
-
A reading on logical data modeling that walks through identifying entities, listing their attributes, choosing primary keys, and mapping relationships in a business domain — the planning work learners do before writing any CREATE TABLE statement.
-
A hands-on reading that translates a logical model into working SQL, covering CREATE DATABASE and CREATE TABLE syntax, column data types, constraints, and relationship definitions that form a database schema.
-
A reading placing SQL within the full database design workflow, distinguishing conceptual, logical, and physical design phases and showing where DDL fits as the implementation step in a specific DBMS.
-
The consolidated module page compiling all topic readings on SQL as a data modeling language into a single continuous document for review or printing.