any place you want Microsoft 10985 SQL Server Training - Dynamics Edge

any place you want Microsoft 10985 SQL Server Training -> Introduction to SQL Databases

Dynamics Edge4.67 4.67 out of 50 stars, based on 80 reviews.*
CourseStart DateEnd DateLocationLength
any place you wantany place you want
any place you want
3 days
Live VirtualLive Virtual
Live Virtual
3 days

Make your preferred selection of Dynamics Edge Microsoft 10985 first-rate SQL Server training course and you will access DynamicsEdge high quality training. Customized training may also be possible.

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.

Who Should Attend

The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies.

What You'll Learn

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.

Course Outline

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?
  • Denormalization
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.


  • Indexing
  • Query performance
  • Concurrency
Lab : Query performance

Module 6: Database Objects

This module introduces commonly used database objects.


  • Tables
  • Views
  • Stored Procedures
  • Other Database Projects
Lab : Using SQL Server in a hybrid cloud


Before attending this course, students must have:

  • This is a foundation level course and therefore only requires general computer literacy.

Nov 2016

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