Résumé du cours
This three-day instructor-led course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The course describes fundamental database concepts including database types, database languages, and database designs.
A qui s'adresse cette formation
The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies.
Pré-requis
This is a foundation level course and therefore only requires general computer literacy.
Objectifs
After completing this course, students will be able to:
- Describe key database concepts in the context of SQL Server 2016
- Describe database languages used in SQL Server 2016
- Describe data modelling techniques
- Describe normalization and denormalization techniques
- Describe relationship types and effects in database design
- Describe the effects of database design on performance
- Describe commonly used database objects
Outline: Introduction to SQL Databases (10985)
Module 1: Introduction to databases
This module introduces key database concepts in the context of SQL Server 2016.
Lessons
- Introduction to relational databases
- Other types of database
- Data analysis
- Database languages
Lab: Querying SQ Server
After completing this module, you will be able to:
- Describe what a database is
- Understand basic relational aspects
- Describe database languages used in SQL Server 2016
- Describe data analytics
- Describe database languages used in SQL Server 2016
Module 2: Data Modelling
This module describes data modelling techniques.
Lessons
- Data modelling
- ANSI/SPARC database model
- Entity relationship modelling
Lab: Entity relationship modelling
After completing this module, you will be able to:
- Understand the common data modelling techniques
- Describe the ANSI/SPARC database model
- Describe entity relationship modelling
Module 3: Normalization
This module describes normalization and denormalization techniques.
Lessons
- Why normalize data?
- Normalization terms
- Levels of normalization
- Denormalization
Lab: Normalizing raw data
After completing this module, you will be able to:
- Describe normalization benefits and notation
- Describe important normalization terms
- Describe the normalization levels
- Describe the role of denormalization
Module 4: Relationships
This module describes relationship types and effects in database design.
Lessons
- Schema mapping
- Referential integrity
Lab: Designing relationships
After completing this module, you will be able to:
- Describe relationship types
- Describe the use, types, and effects of referential integrity
Module 5: Performance
This module introduces the effects of database design on performance.
Lessons
- Indexing
- Query performance
- Concurrency
Lab: Query performance
After completing this module, you will be able to:
- Discuss the performance effects of indexing
- Describe the performance effects of join and search types
- Describe the performance effects of concurrency
Module 6: Database Objects
This module introduces commonly used database objects.
Lessons
- Tables
- Views
- Stored procedures
- Other database objects
Lab: Using SQL Server in a hybrid cloud
After completing this module, you will be able to:
- Describe the use of tables in SQL Server 2016
- Describe the use of views in SQL Server 2016
- Describe the use of stored procedures in SQL Server 2016
- Describe other database objects commonly used in SQL Server 2016