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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 Introduction
An overview of DBMS technology
- Key concepts and terminology
- How data is accessed, organized 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 optimizer
- 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 modeling
- 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
Normalizing data to design tables
- Why/why not normalize
- Avoiding update anomalies
- Identifying functional dependencies
- Applying rules for normalization
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 denormalization vs. accidental denormalization
- 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
- Declaring 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
- Customizing 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
- Modeling in analysis and design
- Focusing on business rules
- Creating an intelligent server
- Using stored procedures and triggers
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Participants generating the SQL to build a database using a CASE tool.
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"The Learning Tree hands-on course aspects were great, especially because I was coming in without a lot of background, so applying them every day with the concepts was really helpful. That's how I learn best!"
– T. Bolton Direct Energy
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