Overview
About this Microsoft SQL Server 2016 Training Course
This three-day instructor-led Microsoft SQL Server 2016 Training Course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The Microsoft SQL Server 2016 Training Course describes fundamental database concepts including database types, database languages, and database designs.
Audience Profile
The primary audience for this Microsoft SQL Server 2016 Training Course is people who are moving into a database role, or whose role has expanded to include database technologies.
Prerequisite
This is a foundation level Microsoft SQL Server 2016 Training Course and therefore only requires general computer literacy.
At Microsoft SQL Server 2016 Training Course Completion
After completing this Microsoft SQL Server 2016 Training 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
Description
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
