Class Schedule

LocationDaysStartEndTime
GreenbeltMon - Wed01/28/201901/30/20198:30am - 5:00pm
GreenbeltMon - Wed03/04/201903/06/20198:30am - 5:00pm
GreenbeltMon - Wed04/29/201905/01/20198:30am - 5:00pm

Why Take 10985 SQL Database Training?

SQL Databases underpin much of today's IT infrastructure, from large, enterprise data warehouses to the back-end of personal Wordpress sites. Having a sound understanding of the fundamentals of SQL Database technology is invaluable to anyone pursuing a technical IT role but particularly those looking to work directly with database technologies.

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.

On completion of our Introduction to SQL Databases course you 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

Prerequisites:

This is an entry-level class with no prerequisites

Related Careers:

TrainACE's Introduction to SQL Databases will prepare you for job roles including:

  • Assistant Database Administrator

Skills and Concepts:

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 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.

Lessons

  • 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.

Lessons

  • 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.

Lessons

  • 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.

Lessons

  • 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.

Lessons

  • 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

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