Database Management Essentials

Course Introduction

Module 1 provides the context for Database Management Essentials When you’re done, you’ll understand the objectives for the course and know what topics and assignments to expect Keeping these course objectives in mind will help you succeed throughout the course! You should read about the database software requirements in the last lesson of module 1 I recommend that you try to install the DBMS software this week before assignments begin in week 2

Introduction to Databases and DBMSs

We’ll launch into an exploration of databases and database technology and their impact on organizations in Module 2 We’ll investigate database characteristics, database technology features, including non-procedural access, two key processing environments, and an evolution of the database software industry This short informational module will ensure that we all have the same background and context, which is critical for success in the later modules that emphasize details and hands-on skills

Relational Data Model and the CREATE TABLE Statement

Now that you have the informational context for database features and environments, you’ll start building! In this module, you’ll learn relational data model terminology, integrity rules, and the CREATE TABLE statement You’ll apply what you’ve learned in practice and graded problems using a database management system (DBMS), either Oracle, MySQL, or PostgreSQL, creating tables using the SQL CREATE TABLE statement and populating your tables using given SQL INSERT statements

Basic Query Formulation with SQL

This module is all about acquiring query formulation skills Now that you know the relational data model and have basic skills with the CREATE TABLE statement, we can cover basic syntax of the SQL SELECT statement and the join operator for combining tables SELECT statement examples are presented for single table conditions, join operations, and grouping operations You’ll practice writing simple SELECT statements using the tables that you created in the assignment for module 3

Extended Query Formulation with SQL

Now that you can identify and use the SELECT statement and the join operator, you’ll extend your problem solving skills in this module so you can gain confidence on more complex queries You will work on retrieval problems with multiple tables and grouping In addition, you’ll learn to use the UNION operator in the SQL SELECT statement and write SQL modification statements.

Notation for Entity Relationship Diagrams

Module 6 represents another shift in your learning In previous modules, you’ve created and populated tables and developed query formulation skills using the SQL SELECT statement Now you’ll start to develop skills that allow you to create a database design to support business requirements You’ll learn basic notation used in entity relationship diagrams (ERDs), a graphical notation for data modeling You will create simple ERDs using basic diagram symbols and relationship variations to start developing your data modeling skills

ERD Rules and Problem Solving

Module 7 builds on your knowledge of database development using basic ERD symbols and relationship variations We’ll be practicing precise usage of ERD notation and basic problem solving skills You will learn about diagram rules and work problems to help you gain confidence using and creating ERDs

Developing Business Data Models

In Module 8, you’ll use your ERD notation skills and your ability to avoid diagram errors to develop ERDs that satisfy specific business data requirements You will learn and practice powerful problem-solving skills as you analyze narrative statements and transformations to generate alternative ERDs

Data Modeling Problems and Completion of an ERD

Now that you have practiced data modeling techniques, you’ll get to wrestle with narrative problem analyses and transformations for generating alternative database designs in Module 9 At the end of this module, you’ll learn guidelines for documentation and detection of design errors that will serve you well as you design databases for business situations

Schema Conversion

Modules 6 to 9 covered conceptual data modeling, emphasizing precise usage of ERD notation, analysis of narrative problems, and generation of alternative designs Modules 10 and 11 cover logical database design, the next step in the database development process

In Module 10, we’ll cover schema conversion, the first step in the logical database design phase You will learn to convert an ERD into a table design that can be implemented on a relational DBMS

Normalization Concepts and Practice

Module 11 covers normalization, the second part of the logical database design process Normalization provides tools to remove unwanted redundancy in a table design You’ll discover the motivation for normalization, constraints to reason about unwanted redundancy, and rules that detect excessive redundancy in a table design You’ll practice integrating and applying normalization techniques in the final lesson of this course