Microsoft SQL Server 2017: Linux, Docker and macOS Hands-On
Microsoft SQL Server 2017: Linux, Docker and macOS Hands-On, available at $19.99, has an average rating of 4.45, with 32 lectures, based on 72 reviews, and has 14099 subscribers.
You will learn about To learning basic of Linux,how to install Linux,SQL Server 2017,Docker,Administration tools and many more This course is ideal for individuals who are Database Administrator,Data Science engineer to run SQL Server on Linux or MacOS Docker Container It is particularly useful for Database Administrator,Data Science engineer to run SQL Server on Linux or MacOS Docker Container.
Enroll now: Microsoft SQL Server 2017: Linux, Docker and macOS Hands-On
Summary
Title: Microsoft SQL Server 2017: Linux, Docker and macOS Hands-On
Price: $19.99
Average Rating: 4.45
Number of Lectures: 32
Number of Published Lectures: 32
Number of Curriculum Items: 32
Number of Published Curriculum Objects: 32
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- To learning basic of Linux,how to install Linux,SQL Server 2017,Docker,Administration tools and many more
Who Should Attend
- Database Administrator,Data Science engineer to run SQL Server on Linux or MacOS Docker Container
Target Audiences
- Database Administrator,Data Science engineer to run SQL Server on Linux or MacOS Docker Container
As we know SQL Server has traditionally run only on Windows. SQL 2017 is the ability to install server instances and work with databases on Linux and in Docker containers, which opens the possibility of running SQL Server on macOS. With the extension tools now available as native Linux and macOS applications, users can take advantage of on the variety of options available for running a database instance. This course shows how to install SQL Server on new platforms, and how to connect to it from a newly various environments and also shows how to use SQL Operations Studio to perform routine SQL Server maintenance tasks, such as backups, from Windows, macOS, and Linux.
These are topics covered in this course.
- Installing, upgrading, and uninstalling SQL Server on Linux
- Connecting to SQL Server on Linux
- Issuing T-SQL commands
- Installing Docker on Windows and macOS
- Connecting to SQL Server from inside and outside a container
- Sharing data across containers
- Installing SQL tools on macOS
- Connecting to SQL Server on macOS
- Using SQL Operations Studio
- Backing up a database in Operations Studio
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Working in Linux
Lecture 1: Linux prerequisites for SQL Server
Lecture 2: Linux basics
Lecture 3: How to install Ubuntu
Chapter 3: Install SQL Server on Ubuntu
Lecture 1: Installing SQL Server on Ubuntu
Lecture 2: Upgrading SQL Server 2017
Lecture 3: Uninstalling SQL Server 2017
Lecture 4: How to Stop and restart the SQL server 2017
Chapter 4: Connect to SQL Server 2017 on Linux
Lecture 1: Installing mssql-tools
Lecture 2: Run sqlcmd in a Linux terminal
Lecture 3: Issue T-SQL commands
Lecture 4: Install additional services
Lecture 5: Connect using SSMS on Windows
Chapter 5: Get Started with Docker
Lecture 1: Docker prerequisites for SQL Server
Lecture 2: How to Install Docker on Windows
Lecture 3: How to Install Docker on macOS
Lecture 4: How to Pull the SQL Server image
Lecture 5: Connect to SQL Server within a container
Lecture 6: Connect from outside the container
Chapter 6: Work in a Docker Container
Lecture 1: Change the SA account password
Lecture 2: Run multiple instances of SQL Server 2017
Lecture 3: Sharing data across containers
Lecture 4: Perform an external backup
Chapter 7: Microsoft SQL Tools on macOS
Lecture 1: Understand macOS integration
Lecture 2: Install Homebrew
Lecture 3: tap and brew mssql-tools
Lecture 4: Connect to a SQL Server instance
Lecture 5: Extract data with bcp
Chapter 8: MS SQL Operations Center
Lecture 1: What is Microsoft Operations Studio?
Lecture 2: Get started with Operations Studio
Lecture 3: Write T-SQL commands
Lecture 4: Back up a database
Instructors
-
Zulqarnain Hayat
Senior Database Specialist and Team Lead Middleware,AWS
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 2 votes
- 3 stars: 11 votes
- 4 stars: 19 votes
- 5 stars: 37 votes
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