Relational Database Design Training: Tools and Techniques

Course 382

  • Duration: 4 days
  • Labs: Yes
  • Language: English
  • Level: Foundation

This Relational Database Design training course is designed to deliver the groundwork for building and working with relational databases — including Oracle, SQL Server, and MySQL — and enabling you to develop and use relational databases in your environment. You will learn to design your database to model your business requirements, normalize and denormalize data to optimize performance, and automatically generate database documentation using CASE tools. You will also learn how to simplify code and improve performance by avoiding common database design errors.

  • Oracle's free SQL*Developer Data Modeler is used to design and generate a database
  • PostgreSQL RDBMS along with the SQL Workbench/J IDE are used for database demonstrations and samples
  • Concepts apply to any relational database environment

Relational Database Design Training: Tools and Techniques Delivery Methods

  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
  • After-course computing sandbox included

Relational Database Design Training: Tools and Techniques Course Benefits

Extract core business data requirements from source documentsDesign both conceptual and logical data models using requirementsRecognize and accurately model complex data relationshipsApply data normalization methods to refine data modelsPhysically deploy a relational schema from a logical model complete with tables, indexes, keys, and constraints

Relational Database Design Course Outline

  • How data is accessed, organized, and stored
  • Relational and NoSQL database comparisons
  • Roles involved in database design, development, and administration
  • The database development process

Relational technology fundamentals

  • Terminology and definitions
  • Tables, attributes and relationships
  • Primary and foreign keys
  • Manipulating data: selection, projection, join, union, intersection, difference

Components of a relational DBMS

  • An integrated, active data dictionary
  • Databases, accounts, and schemas

A step-by-step approach and techniques

  • Extracting core business information from requirements
  • Generating conceptual data entities
  • Transforming a conceptual model into a logical one
  • Building a physical database from a logical model
  • Building database documentation

Conceptual modeling

  • Capturing core entities
  • Identifying entity attributes
  • Creating unique identifiers
  • Graphically representing a conceptual model

Logical modeling

  • Apply data types to entity attributes
  • Describing relationships: one-to-one, one-to-many, many-to-many
  • Building recursive relationships
  • Understanding different modeling notations
  • Avoiding update anomalies
  • Identifying functional dependencies
  • Applying rules for normalization
  • Normalizing multi-valued attributes

Physical database design

  • Implementing keys from unique identifiers
  • Building foreign keys from relationships
  • Enforcing business rules with check constraints

Working with design software

  • Generating the DDL to build the database
  • Reverse engineering to capture the design of an existing database

Applying best practices to database design

  • Natural versus surrogate keys
  • Exploring lookup table deployment options
  • Examine vertical and horizontal data partitioning strategies
  • Using record timestamps

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Course FAQs

The database environments this course focuses on are relational databases including Oracle, SQL Server, and MySQL.

Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

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