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Course Overview Relational databases often drive company-critical and Web-enabled applications. A database design that accurately and completely captures user requirements is vital for success. Knowledge of relational theory, techniques of data modelling and normalisation, the underlying logical data model and the SQL programming language are essential. This course provides a comprehensive foundation for designing, building and working with relational databases, enabling you to understand and participate in the development process and use a relational database effectively. Audience This course is valuable for anyone involved in designing, building and using relational databases, implementing database applications, or managing database development projects. Skills Gained - Design, build and query a relational database
- Capture the structure of an existing database with a CASE tool
- Develop a data model to describe an application's data
- Apply normalisation to data for effective, stable database design
- Build a relational database from the logical database design
- Access data in a relational database using simple SQL queries
Course Outline Introduction An overview of DBMS technology - Key concepts and terminology
- How data is accessed, organised and stored
- The importance of business rules
- Uses of databases
- The database development process
DBMS and related user tools - Query languages
- Query and application development tools
- CASE tools for database analysis and design
How a Relational DBMS Works Relational technology fundamentals - The structure of a relational database
- Tables, attributes and relationships
- Primary and foreign keys
- Relational integrity constraints
- Manipulating data: selection, projection, join, union, intersection, difference
Components of a relational DBMS - An integrated, active data dictionary
- The query optimiser
- An engine that manages the data
- Front-end tools for easy user access
Designing Relational Databases A step-by-step approach and techniques - Developing the logical data model
- Mapping the data model to the relational model
- Specifying integrity constraints
- Defining the data in the data dictionary
Entity-relationship modelling - Capturing entities, attributes and identifiers
- Describing relationships: one-to-one, one-to-many, many-to-many
- Optional and mandatory relationships
- Resolving many-to-many relationships for implementation
- Guidelines for a well-formed E-R diagram
Normalising data to design tables - Why/why not normalise
- Avoiding update anomalies
- Identifying functional dependencies
- Applying rules for normalisation
Working with a CASE tool - Database design and documentation
- Generating the SQL to build the database
- Reverse engineering to capture the design of an existing database
Physical database design - Grouping and assigning tables to disk files for performance and maintenance
- Fragmenting large tables
- Planned denormalisation vs. accidental denormalisation
- Indexing for performance and integrity
Building and Querying a Relational Database Fundamentals of SQL - A dynamic and evolving language
- ANSI and ISO standards
Creating a relational database - Defining the database and its objects: tables, keys, views and indexes
- Declarative integrity constraints
- Altering structures and constraints
Accessing the database with SQL - Querying the database to retrieve exactly the desired information
- Joining tables to retrieve related data
- Updating data while maintaining database integrity
Constructing and using views - Defining views for simplicity and security
- Customising Windows into the database
- Querying and updating through views
The Future of Database Design Enforcing business rules for data integrity - Defining declarative constraints
- Server-side programming in Java or a procedural language
Trends - Modelling in analysis and design
- Focusing on business rules
- Creating an intelligent server
- Using stored procedures and triggers
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