MS-10985C: Introduction to SQL Databases


Duration: 3 Days
Mode of Delivery: Online -Instructor-led training
Job role: Database Administrator, Administrator
Preparation for exam: None
Cost: USD$1,800.00

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.


In addition to their professional experience, students who attend this training should already have the following technical knowledge:
• Basic knowledge of the Microsoft Windows operating system and its core functionality.
• This is a foundation level course and therefore only requires general computer literacy.
• Working knowledge of relational databases.

Skills Gained

After completing this course, students will be able to:
• Describe the components, architecture, and nature of a BI solution
• Create a multidimensional database with Analysis Services
• Implement dimensions in a cube
• Implement measures and measure groups in a cube
• Use MDX syntax
• Customize a cube
• Implement a tabular database
• Use DAX to query a tabular model
• Use data mining for predictive analysis

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 in SQL Server
Lab: Exploring and querying SQL Server databases
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
• Describe data analytics

Module 2: Data Modelling
This module describes data modelling techniques.
• Data modelling
• ANSI/SPARC database model
• Entity relationship modelling
Lab: Identify components in 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.
• Fundamentals of Normalization
• Normal form
• Denormalization
Lab: Normalizing 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.
• Introduction to relationships
• Planning referential integrity
Lab: Planning and implementing referential integrity
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.
• Indexing
• Query performance
• Concurrency
Lab: Performance issues
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.
• Tables
• Views
• Stored procedures, triggers and functions
Lab: Using SQL server
After completing this module, you will be able to:
• Describe the use of tables in SQL Server
• Describe the use of views in SQL Server
• Describe the use of stored procedures in SQL Server
• Describe other database objects commonly used in SQL Server


Click on the following link to see the current Course Schedule
Our minimum class-size is 3 for this course.
If there are no scheduled dates for this course, it can be customized to suit the time and skill needs of clients and it can be held online, at a rented location or at your premises.
Click on the following link below to arrange for a custom course: Enquire about a course date

Product Information

Product Information

Additional Information

CANCELLATION POLICY – There is never a fee for cancelling seven business days before a class for any reason. Data Vision Systems reserves the right to cancel any course due to insufficient registration or other extenuating circumstances. Participants will be advised prior to doing so.


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