Please note: for Attend from Anywhere customers an additional screen is required. The additional screen must have a minimum screen size of 19 inch and minimum resolution of 1280x1024, with the vertical resolution 1024 being the most critical.
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.
The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies.
This course provides an in-depth understanding of the design and structure of SQL databases and database objects. Delegates who are looking for a more practical course with a focus on searching and managing data in SQL databases are advised to look at our QATSQL 'Querying SQL Databases using T-SQL' and 'Advanced Querying SQL Databases using T-SQL' QATSQLPLUS or Microsoft official curriculum M20761 'Querying Data with Transact-SQL' courses
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
Module 1: Introduction to databases
This module introduces key database concepts in the context of SQL Server 2016.
- Introduction to relational databases
- Other types of database
- Data analysis
- Database languages
Lab : Querying SQL Server
Module 2: Data Modelling
This module describes data modelling techniques.
- Data modelling
- ANSI/SPARC database model
- Entity relationship modelling
Lab : Entity relationship modelling
Module 3: Normalization
This module describes normalization and denormalization techniques.
- Why normalize data?
- Normalization terms
- Levels of normalization
Lab : Normalizing raw data
Module 4: Relationships
This module describes relationship types and effects in database design.
- Schema mapping
- Referential integrity
Lab : Designing relationships
Module 5: Performance
This module introduces the effects of database design on performance.
- Query performance
Lab : Query performance
Module 6: Database Objects
This module introduces commonly used database objects.
- Stored procedures
- Other database objects
Lab : Using SQL Server in a hybrid cloud
This is a foundation level course and therefore only requires general computer literacy.