Introduction to SQL Databases (MOC 10985) Online

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Starting date and place
Logo Fast Lane Institute for Knowledge Transfer GmbH
Provider rating: starstarstarstarstar_half 9.2 Fast Lane Institute for Knowledge Transfer GmbH has an average rating of 9.2 (out of 16 reviews)

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Starting dates and places

computer Online: Online Training
6 Sep 2021 until 8 Sep 2021
computer Online: Online Training
2 Nov 2021 until 4 Nov 2021
computer Online: Online Training
6 Dec 2021 until 8 Dec 2021

Description

Voraussetzungen

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

Zielgruppe

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

Detaillierter Kursinhalt

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 20…

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Voraussetzungen

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

Zielgruppe

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

Detaillierter Kursinhalt

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
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There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.