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Microsoft SQL Server Free Course
$0.00
NO CREDIT CARD REQUIRED
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.
75 Training Hours
415 On-demand Videos
67 Topics
697 Prep Questions
Course Description
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.
Your Training Instructors
Chrys Thorsen is an education and technology expert who specializes in enterprise-level IT infrastructure consulting and certified training-of-trainers. In her career, she has garnered over 50 IT Certifications including CISSP, CISA, CEHv12, PenTest+, CompTIA CNVP, Cisco CCSI/CCNP, Microsoft Cloud and on-premises technologies, VMware vSphere, and many more. She has also authored 40 published certification textbooks, and over 35 full-length IT certification video courses.
When not working in the United States, Chrys spends her time abroad capacity-building IT literacy in developing nations in Sub-Saharan Africa. Her client list has included: the US Federal Government, the Republic of Zambia Ministry of Health, Cavendish University Zambia, Accenture, JP Morgan Chase, the US Centers for Disease Control and Prevention, the Elizabeth Glaser Pediatric AIDS Foundation (EGPAF), Hughes Aircraft, Microsoft, and many more.
Chrys lives by, and is fond of repeating, her professional creed:
“The only true measure of success for any project or training is results on the ground. Everything else is just noise.” “I teach what I deploy; I deploy what I teach.”
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
Course Outline
Microsoft SQL Server 2019 - Introduction to Data Analysis Course Content
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
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
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
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
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
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
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
Microsoft SQL Server Free Course
$0.00
NO CREDIT CARD REQUIRED
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.
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