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Microsoft SQL Server Free Course

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This extensive The Microsoft SQL Server Free Course – Provisioning SQL Databases course offers 23 hours of training and 102 videos, providing an in-depth explanation behind the procedures, influences, toolsets and operations related to running SQL Server on Cloud.

77 Hrs 14 Min415 Videos697 QuestionsCertificate of CompletionClosed Captions

Microsoft SQL Server Free Course



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The Microsoft SQL Server Free Course: Provisioning SQL Databases course prepares students to be able to provision databases on Microsoft SQL Server 2016 and Microsoft Azure. This course is intended for IT professionals responsible for installing and maintaining a SQL Server 2016 environment.

This The Microsoft SQL Server Free Course is intended for our students in architect, senior developers, infrastructure specialists, and development leads. Students have a working knowledge of the various cloud service models and service model architectures, data storage options, and data synchronization techniques. Students should also have a working knowledge of deployment models, upgrading and migrating databases, and applications and services, in addition to integrating Azure applications with external resources.

What will you learn:

This The Microsoft SQL Server Free Course – Provisioning SQL Databases course includes 23 hours of training and 102 videos. Students will learn the processes, implications, technologies, and actions involved in utilizing SQL Server in the cloud in both PaaS and IaaS environments. After they learn how to create and use a free Microsoft Azure subscription, they will get hands-on experience with SQL Server in various cloud-based configurations, giving them an understanding of the implications and purposes for various options.  Topics covered also include the following for students to learn:

  • Implement SQL in Azure
  • Manage databases and instances
  • Manage Storage

Frequently Asked Questions About Microsoft SQL Server Free Course

Is the Microsoft SQL Server Free Course on ITU Online really free?

Yes, the Microsoft SQL Server Free Course: Provisioning SQL Databases on ITU Online is indeed free. There is no charge for access to the course materials.

Who is the target audience for this course?

The course is intended for IT professionals responsible for installing and maintaining a SQL Server 2016 environment. It’s suitable for students in roles such as architects, senior developers, infrastructure specialists, and development leads. It’s expected that students have a working knowledge of the various cloud service models, service model architectures, data storage options, and data synchronization techniques.

Are there any hidden costs associated with the Microsoft SQL Server Free Course?

There are no hidden costs associated with the Microsoft SQL Server Free Course. The course is listed as free, and no credit card information is required for access.

What is the course content of the Microsoft SQL Server Free Course on ITU Online?

The course, titled “Provisioning SQL Databases,” prepares students to provision databases on Microsoft SQL Server 2016 and Microsoft Azure. It covers topics like implementing SQL in Azure, managing databases and instances, and managing storage. The course includes 23 hours of training and 102 videos.

Who is the instructor for the Microsoft SQL Server Free Course?

The course is taught by Chrys Thorsen, an education and technology expert who specializes in enterprise-level IT infrastructure consulting and certified training-of-trainers.

Are there any prerequisites for this course?

Yes, students should have a working knowledge of the various cloud service models and service model architectures, data storage options, and data synchronization techniques. In addition, they should be familiar with deployment models, upgrading and migrating databases, and applications and services, as well as integrating Azure applications with external resources.

Microsoft SQL Server 2019 – Introduction to Data Analysis Course Content

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Module 1 – Query Tools
  • 1.1 Course Introduction
  • 1.2 Intro to Management Studio
  • 1.3 Intro to command-line query tools
Module 2 – Introduction to T-SQL Querying
  • 2.1 Introducing T-SQL
  • 2.2 Understanding Sets
  • 2.3 Understanding the Logical Order of Operations in SELECT statements
Module 3 – Basic SELECT Queries
  • 3.1 Writing Simple SELECT Statements
  • 3.2 Eliminate Duplicates with DISTINCT
  • 3.3 Using Column and Table Aliases
  • 3.4 Write Simple CASE Expressions
Module 4 – Querying Multiple Tables
  • 4.1 Understanding Joins
  • 4.2 Querying with Inner Joins
  • 4.3 Querying with Outer Joins
  • 4.4 Querying with Cross Joins and Self Joins
Module 5 – Sorting and Filtering Data
  • 5.1 Sorting Data
  • 5.2 Filtering Data with Predicates
  • 5.3 Filtering with the TOP and OFFSET-FETCH
  • 5.4 Working with Unknown Values
Module 6 – Introduction to Business Intelligence and Data Modeling
  • 6.1 Introduction to Business Intelligence
  • 6.2 The Microsoft Business Intelligence Platform
  • 6.3 Exploring a Data Warehouse
  • 6.4 Exploring a Data Model
Module 7 – Prepare Data
  • 7.1 Introduction to Power BI
  • 7.2 Get data from various data sources
  • 7.3 Preview source data
Module 8 – Clean, Transform, and Load Data
  • 8.1 Data Transformation Intro
  • 8.2 Transformation Example 1
  • 8.3 Transformation Example 2
  • 8.4 Transformation Example 3
  • 8.5 Transformation Example 4
  • 8.6 Transformation Example 5
  • 8.7 Transformation Example 6
Module 9 – Design a Data Model
  • 9.1 Introduction to Data Modeling
  • 9.2 Model Relationships
  • 9.3 Table Configuration
  • 9.4 Model interface
  • 9.5 Quick Measures
  • 9.6 Many-to-many relationships
  • 9.7 Row-level security
Module 10 – Create Model Calculations using DAX
  • 10.1 DAX context
  • 10.2 Calculated Tables
  • 10.3 Calculated Columns
  • 10.4 Managing Date Tables
  • 10.5 Measures
  • 10.6 Filter Manipulation
  • 10.7 Time Intelligence
Module 11 – Create Reports
  • 11.1 Basic Report Creation
  • 11.2 Example Page 1
  • 11.3 Example Page 2
  • 11.4 Example Page 3
  • 11.5 Report Publishing
  • 11.6 Enhancing Reports
  • 11.7 Drill-Through Pages
  • 11.8 Conditional Formatting
  • 11.9 Buttons and Bookmarks
Module 12 – Create Dashboards
  • 12.1 Dashboard Basics
  • 12.2 Real Time Dashboards
  • 12.3 Enhanced Dashboards
Module 13 – Create Paginated Reports
  • 13.1 Introduction to Power BI Report Builder
  • 13.2 Report Layouts
  • 13.3 Report Data
  • 13.4 Report Tables
Module 14 – Perform Advanced Analytics
  • 14.1 Introduction to Advanced Analytics
  • 14.2 Scatter Chart
  • 14.3 Forecast
  • 14.4 Decomposition Tree
  • 14.5 Key Influencers
Module 15 – Create and Manage Workspaces
  • 15.1 Introduction to Workspaces
  • 15.2 Working with Workspaces and the Portal
Module 16 – Create Power App Visuals
  • 16.1 Introduction to Power Apps Visual
  • 16.2 Creating the App
  • 16.3 Basic Power Apps Concepts
  • 16.4 Refreshing the Report
Module 17 – Analysis Services and Power BI
  • 17.1 Introduction to Analysis Services
  • 17.2 Connecting with Multidimensional Models
  • 17.3 Premium Workspaces and Analysis Services
  • 17.4 Course Wrap Up

Microsoft SQL Server 2019 – Querying SQL Server Course Content

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Module 1 – Query Tools
  • 1.1 Course Introduction
  • 1.2 Module 1 Introduction
  • 1.3 Intro to Management Studio
  • 1.4 Intro to command-line query tools
Module 2 – Introduction to T-SQL Querying
  • 2.1 Module 2 Introduction
  • 2.2 Introducing T-SQL
  • 2.3 Understanding Sets
  • 2.4 Understanding the Logical Order of Operations in SELECT statements
Module 3 – Basic SELECT Queries
  • 3.1 Module 3 Introduction
  • 3.2 Writing Simple SELECT Statements
  • 3.3 Eliminate Duplicates with DISTINCT
  • 3.4 Using Column and Table Aliases
  • 3.5 Write Simple CASE Expressions
Module 4 – Querying Multiple Tables
  • 4.1 Module 4 Introduction
  • 4.2 Understanding Joins
  • 4.3 Querying with Inner Joins
  • 4.4 Querying with Outer Joins
  • 4.5 Querying with Cross Joins and Self Joins
Module 5 – Sorting and Filtering Data
  • 5.1 Module 5 Introduction
  • 5.2 Sorting Data
  • 5.3 Filtering Data with Predicates
  • 5.4 Filtering with the TOP and OFFSET-FETCH
  • 5.5 Working with Unknown Values
Module 6 – Working with SQL Server Data Types
  • 6.1 Module 6 Introduction
  • 6.2 Writing Queries that return Date and Time Data
  • 6.3 Writing Queries that use Date and Time Functions
  • 6.4 Writing Queries that return Character Data
  • 6.5 Writing Queries that use Character Functions
Module 7 – Using DML to Modify Data
  • 7.1 Module 7 Introduction
  • 7.2 Inserting Records with DML
  • 7.3 Updating Records Using DML
  • 7.4 Deleting Records Using DML
Module 8 – Using Built-In Functions
  • 8.1 Module 8 Introduction
  • 8.2 Writing Queries with Built-In Functions
  • 8.3 Using Conversion Functions
  • 8.4 Using Logical Functions
  • 8.5 Using Functions to Work with NULL
Module 9 – Grouping and Aggregating Data
  • 9.1 Module 9 Introduction
  • 9.2 Using Aggregate Functions
  • 9.3 Using the GROUP BY Clause
  • 9.4 Filtering Groups with HAVING
Module 10 – Using Subqueries
  • 10.1 Module 10 Introduction
  • 10.2 Writing Self-Contained Subqueries
  • 10.3 Writing Correlated Subqueries
  • 10.4 Using the EXISTS Predicate with Subqueries
Module 11 – Using Table Expressions
  • 11.1 Module 11 Introduction
  • 11.2 Using Views
  • 11.3 Using Inline Table-Valued Functions
  • 11.4 Using Derived Tables
  • 11.5 Using Common Table Expressions
Module 12 – Using Set Operators
  • 12.1 Module 12 Introduction
  • 12.2 Writing Queries with the UNION operator
  • 12.3 Using EXCEPT and INTERSECT
  • 12.4 Using APPLY
Module 13 – Using Window Ranking, Offset, and Aggregate Functions
  • 13.1 Module 13 Introduction
  • 13.2 Creating Windows with OVER
  • 13.3 Exploring Window Functions
Module 14 – Pivoting and Grouping Sets
  • 14.1 Module 14 Introduction
  • 14.2 Writing Queries with PIVOT and UNPIVOT
  • 14.3 Working with Grouping Sets
Module 15 – Implementing Error Handling
  • 15.1 Module Introduction
  • 15.2 Implementing T-SQL error handling
  • 15.3 Implementing structured exception handling
Module 16 – Managing Transactions
  • 16.1 Module 16 Introduction
  • 16.2 Transactions and the Database Engine
  • 16.3 Controlling Transactions
  • 16.4 Course Wrap Up

SQL Server 2019 Database Design Course Content

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Module 1 – Designing and Building Tables
  • 1.1 Course Introduction
  • 1.2 Module 1 Introduction
  • 1.3 Introduction to Database Design
  • 1.4 Creating Tables
  • 1.5 Data Types
  • 1.6 Schemas
  • 1.7 Altering Tables
Module 2 – Enforcing Data Integrity
  • 2.1 Module 2 Introduction
  • 2.2 Introduction to Data Integrity
  • 2.3 Data Domain Integrity
  • 2.4 Implementing Data Domain Integrity
  • 2.5 Implementing Entity and Referential Integrity
Module 3 – Indexing
  • 3.1 Module 3 Introduction
  • 3.2 Core Indexing Concepts
  • 3.3 Heaps, Clustered, and Nonclustered Indexes
  • 3.4 Data Types and Indexes
  • 3.5 Single Column and Composite Indexes
Module 4 – Stored Procedures, Functions, and Triggers
  • 4.1 Module 4 Introduction
  • 4.2 Introduction to Database Programming
  • 4.3 Creating Stored Procedures
  • 4.4 Creating User-Defined Functions
  • 4.5 Creating Triggers
Module 5 – Blob and Filestream Data
  • 5.1 Module 5 Introduction
  • 5.2 Introduction to Binary Data
  • 5.3 Considerations for BLOB data
  • 5.4 FILESTREAM Example
  • 5.5 File Table Example
Module 6 – Full-Text Search
  • 6.1 Module 6 Introduction
  • 6.2 Introduction to Full-Text Search
  • 6.3 Full-Text Catalogs
  • 6.4 Full-Text Indexes
  • 6.5 Full-Text Queries
Module 7 – Azure vs On-Prem
  • 7.1 Module 7 Introduction
  • 7.2 SQL Server on Azure VM
  • 7.3 Azure Managed SQL Instance
  • 7.4 Azure SQL Database
  • 7.5 Course Wrap Up

Microsoft SQL Server 2019 Analysis Services (SSAS) Course Content

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Module 1 – Introduction to Business Intelligence and Data Modeling
  • 1.1 Course Introduction
  • 1.2 Module 1 Introduction
  • 1.3 Introduction to Business Intelligence
  • 1.4 The Microsoft Business Intelligence Platform
  • 1.5 Exploring a Data Warehouse
  • 1.6 Exploring a Data Model
Module 2 – Multidimensional Databases
  • 2.1 Module 2 Introduction
  • 2.2 Introduction to Multidimensional Analysis
  • 2.3 Overview of Cube Security
  • 2.4 Creating and Configuring a Cube
  • 2.5 Data Sources
  • 2.6 Data Source Views
  • 2.7 Adding a Dimension to a Cube
Module 3 – Cubes and Dimensions
  • 3.1 Module 3 Introduction
  • 3.2 Dimensions
  • 3.3 Attribute Hierarchies and Relationships
  • 3.4 Sorting and Grouping Attributes
  • 3.5 Slowly Changing Dimensions
Module 4 – Measures and Measure Groups
  • 4.1 Module 4 Introduction
  • 4.2 Measures
  • 4.3 Measure Groups and Relationships
  • 4.4 Measure Group Storage
Module 5 – Introduction to MDX
  • 5.1 Module 5 Introduction
  • 5.2 MDX Fundamentals
  • 5.3 Adding Calculations to a Cube
  • 5.4 Querying a cube using MDX
Module 6 – Customizing Cube Functionality
  • 6.1 Module 6 Introduction
  • 6.2 Key Performance Indicators
  • 6.3 Actions
  • 6.4 Perspectives
  • 6.5 Translations
Module 7 – Tabular Data Models
  • 7.1 Module 7 Introduction
  • 7.2 Introduction to Tabular Data Models
  • 7.3 Creating a Tabular Data Model
  • 7.4 Configure Relationships and Attributes
  • 7.5 Configuring Data Model for an Enterprise BI Solution
Module 8 – Data Analysis Expressions (DAX)
  • 8.1 Module 8 Introduction
  • 8.2 DAX Fundamentals
  • 8.3 Calculated Columns
  • 8.4 Relationships
  • 8.5 Measures
  • 8.6 Time Intelligence
  • 8.7 KPI
  • 8.8 Parent – Child Hierarchies
Module 9 – Data Mining
  • 9.1 Module 9 Introduction
  • 9.2 Overview of Data Mining
  • 9.3 Custom Data Mining Solutions
  • 9.4 Validating a Data Mining Model
  • 9.5 Consuming a Data Mining Model
  • 9.6 Course Wrap Up

Microsoft SQL Server – Big Data Course Content

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Module 1: What are Big Data Clusters?
  • 1.1 Introduction
  • 1.2 Linux, PolyBase, and Active Directory
  • 1.3 Scenarios
Module 2: Big Data Cluster Architecture
  • 2.1 Introduction
  • 2.2 Docker
  • 2.3 Kubernetes
  • 2.4 Hadoop and Spark
  • 2.5 Components
  • 2.6 Endpoints
Module 3: Deployment of Big Data Clusters
  • 3.1 Introduction
  • 3.2 Install Prerequisites
  • 3.3 Deploy Kubernetes
  • 3.4 Deploy BDC
  • 3.5 Monitor and Verify Deployment
Module 4: Loading and Querying Data in Big Data Clusters
  • 4.1 Introduction
  • 4.2 HDFS with Curl
  • 4.3 Loading Data with T-SQL
  • 4.4 Virtualizing Data
  • 4.5 Restoring a Database
Module 5: Working with Spark in Big Data Clusters
  • 5.1 Introduction
  • 5.2 What is Spark
  • 5.3 Submitting Spark Jobs
  • 5.4 Running Spark Jobs via Notebooks
  • 5.5 Transforming CSV
  • 5.6 Spark-SQL
  • 5.7 Spark to SQL ETL
Module 6: Machine Learning on Big Data Clusters
  • 6.1 Introduction
  • 6.2 Machine Learning Services
  • 6.3 Using MLeap
  • 6.4 Using Python
  • 6.5 Using R
Module 7: Create and Consume Big Data Cluster Apps
  • 7.1 Introduction
  • 7.2 Deploying, Running, Consuming, and Monitoring an App
  • 7.3 Python Example – Deploy with azdata and Monitoring
  • 7.4 R Example – Deploy with VS Code and Consume with Postman
  • 7.5 MLeap Example – Create a yaml file
  • 7.6 SSIS Example – Implement scheduled execution of a DB backup
Module 8: Maintenance of Big Data Clusters
  • 8.1 Introduction
  • 8.2 Monitoring
  • 8.3 Managing and Automation
  • 8.4 Course Wrap Up

Microsoft SQL Server 2019 Administration Course Content

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Module 1: Installation
  • SQL Admin Intro
  • Installation
Module 2: Data Storage
  • Introduction to Data Storage with SQL Server
  • Managing Storage for System Databases
  • Managing Storage for User Databases
  • Moving Database Files
Module 3: Data Recover
  • Intro to Data Recovery
  • Understanding SQL Server Recovery Models
  • Planning a Backup Strategy
  • Backing up Databases and Transaction Logs
  • Using SSMS For Backup
  • Understanding the Restore Process
  • How to Restore a Database
  • Using SSMS For Restore
  • T-SQL Backup and Restore
  • Advanced Restore Scenarios
  • Introduction to Transferring Data
  • Importing and Exporting Table Data
  • Copying or Moving a Database
Module 4: Monitoring
  • Introduction to Monitoring SQL Server
  • Dynamic Management Views and Functions
  • Server Reports
  • System Performance Monitor
  • Tracing SQL Server Workload Activity
  • Extended Events
  • Database Tuning Advisor
Module 5: Security
  • Introduction to SQL Server Security
  • Managing Server-Level Security
  • Managing Database-Level Security
  • Row Level Security (RLS) Using Policies
  • Database Security Tools
  • Contained Database
  • Auditing Data Access in SQL Server
  • Implementing Transparent Data Encryption
Module 6: Maintenance
  • Introduction to Maintenance
  • Ensuring Database Integrity
  • Maintaining Indexes
  • Automating Routine Database Maintenance
  • Automating SQL Server Management
  • Monitoring SQL Server Errors
  • Configuring Database Mai

Microsoft 70-765 SQL Server 2016 Provisioning SQL Databases Course Content

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Module 1: Deploy a Microsoft Azure SQL Database
  • Introduction
  • Introducing the Azure SQL Database Part 1
  • Introducing the Azure SQL Database Part 2
  • Setting Up Azure Lab
  • Chose a Service Tier Part 1
  • Chose a Service Tier Part 2
  • Create Servers and Databases Part 1
  • Creating a Azure SQL Server and Database Lab
  • Create Servers and Databases Part 2
  • Create Servers and Databases Part 3
  • Connecting SSMS to Azure SQL Lab Part 1
  • Connecting SSMS to Azure SQL Lab Part 2
  • Create a Sysadmin Account
  • Creating Azure SQL Logins and Users Lab
  • Congure Elastic Pools
  • Creating and Conguring an Elastic Pool Lab
Module 2: Plan for SQL Server Installation
  • Plan for an IaaS or On-Premises Deployment Part 1
  • Plan for an IaaS or On-Premises Deployment Part 2
  • Select the Appropriate Size for a Virtual Machine
  • Plan Storage Pools Based on Performance Requirements Part 1
  • Plan Storage Pools Based on Performance Requirements Part 2
  • Evaluate Best Practices for Installation
  • Design a Storage Layout for a SQL Server Virtual Machine
Module 3: Deploy SQL Server Instances
  • Deploy a SQL Server Instance in IaaS and On-Premises
  • Restoring AdventureWorks 2016 Database Lab
  • Provision an Azure Virtual Machine to Host a SQL Server Instance
  • Provisioning an Azure Virtual Machine to Host a SQL Server Lab
  • Manually Install SQL Server on an Azure Virtual Machine
  • Installing SQL 2016 Lab Part 1
  • Installing SQL 2016 Lab Part 2
  • Automate the Deployment of SQL Server Databases
  • Exploring Azure SQL Database Automation Lab
  • Deploy SQL Server by Using Templates
  • Managing JSON Templates Lab
Module 4: Deploy SQL Server Databases to Azure Virtual Machines
  • Migrate an On-Premises SQL Server Database to an Azure Virtual Machine
  • Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 1
  • Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 2
  • Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 3
  • Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 4
  • Generate Benchmark Data for Performance Needs
  • Generating Benchmark Data Lab Part 1
  • Generating Benchmark Data Lab Part 2
  • Perform Performance Tuning on Azure IaaS
  • Perform Performance Tuning on Azure IaaS Lab Part 1
  • Perform Performance Tuning on Azure IaaS Lab Part 2
  • Support Availability Sets in Azure Part 1
  • Support Availability Sets in Azure Part 2
  • Manage High Availability Lab Part 1
  • Manage High Availability Lab Part 2
  • Manage High Availability Lab Part 3
  • Manage High Availability Lab Part 4
  • Manage High Availability Lab Part 5
Module 5: Configure Secure Access to Microsoft Azure SQL Databases
  • Configure Firewall Rules
  • Creating Firewall Rules Lab
  • Configure Always Encrypted for Azure SQL Database
  • Implementing Always Encrypted Lab
  • Configure Cell-Level Encryption
  • Cell-Level Encryption Lab
  • Configure Dynamic Data Masking
  • Dynamic Data Masking Lab
  • Configure Transparent Data Encryption (TDE)
  • Transparent Data Encryption (TDE) Lab
Module 6: Configure SQL Server performance settings
  • Configure SQL Performance Settings
  • Configuring SQL Performance Settings Lab
  • Configure Max Server Memory
  • Configuring SQL Memory Lab
  • Configure Database Performance Settings
  • Configure Database Performance Settings Lab
  • Configure Operators and Alerts
  • Configure alerts in Azure and On-Premise SQL Server Lab
Module 7: Manage SQL Server instances
  • Create Databases
  • Creating Databases Lab
  • Manage Files and File Groups
  • Managing Files and File Groups Lab
  • Manage System Database Files
  • Manage System Database Files Lab
  • Configure tempdb
  • Configure tempdb Lab
Module 8: Manage SQL Storage
  • Manage SMB File Shares
  • Manage SMB File Shares Lab
  • Manage Stretch Databases
  • Configure Azure Storage
  • Change Service Tiers
  • Change Service Tiers Lab Part 1
  • Review Wait Statistics
  • Manage Storage Pools
  • Recover from Failed Storage
  • Managing Storage Lab Part 1
  • Managing Storage Lab Part 2
Module 9: Perform Database Maintenance
  • Monitoring Tools
  • Using Monitoring Tools Lab Part 1
  • Using Monitoring Tools Lab Part 2
  • Azure Performance Tuning
  • Automate Maintenance Tasks
  • Update Statistics and Indexes
  • Update Statistics and Indexes Lab Part 1
  • Update Statistics and Indexes Lab Part 2
  • Verify Database Integrity
  • Verify Database Integrity Lab
  • Recover from Database Corruption
  • Recover from Database Corruption Lab
  • Conclusion

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