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Relational Database Design, Tools and Techniques: Hands-On
Course: 382
Type: Hands-On Training
Duration: 4 Days
You Will Learn How To
- 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 normalization 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 Benefits Relational databases often drive company-critical and Web-enabled applications. Creating a database design that accurately and completely captures user requirements is vital for success. This course provides a comprehensive foundation for designing, building, and working with relational databases, enabling you to participate in the development process and to effectively use relational databases in your environment.Who Should Attend Anyone involved in designing, building and using relational databases, implementing database applications, or managing database development projects.Hands-On Training A continuing case study provides you with the skills to analyze, design, build and work with a relational database. Exercises include:
- Analyzing an existing database with a CASE tool
- Developing data models
- Creating a logical data model that identifies entities, attributes and relationships
- Normalizing data to create stable table structures
- Exploiting a CASE tool to generate SQL
- Building a database to correspond to a logical database design
- Constructing simple SQL queries to access the database
Course 382 Content
- Key concepts and terminology
- How data is accessed, organized and stored
- The importance of business rules
- Uses of databases
- The database development process
- Query languages
- Query and application development tools
- CASE tools for database analysis and design
- 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
- An integrated, active data dictionary
- The query optimizer
- An engine that manages the data
- Front-end tools for easy user access
- Developing the logical data model
- Mapping the data model to the relational model
- Specifying integrity constraints
- Defining the data in the data dictionary
- 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
- Why/why not normalize
- Avoiding update anomalies
- Identifying functional dependencies
- Applying rules for normalization
- Database design and documentation
- Generating the SQL to build the database
- Reverse engineering to capture the design of an existing database
- Grouping and assigning tables to disk files for performance and maintenance
- Fragmenting large tables
- Planned denormalization vs. accidental denormalization
- Indexing for performance and integrity
- A dynamic and evolving language
- ANSI and ISO standards
- Defining the database and its objects: tables, keys, views and indexes
- Declaring integrity constraints
- Altering structures and constraints
- Querying the database to retrieve exactly the desired information
- Joining tables to retrieve related data
- Updating data while maintaining database integrity
- Defining views for simplicity and security
- Customizing windows into the database
- Querying and updating through views
- Defining declarative constraints
- Server-side programming in Java or a procedural language
- Modeling in analysis and design
- Focusing on business rules
- Creating an intelligent server
- Using stored procedures and triggers
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