Steps to Install SQL Server in MacOS
To install SQL Server Express for your Mac, you need to follow the steps given below:-
Step 1: Installing Docker For Mac
Step 2: Installing SQL Server 2022
Step 3: Connecting to SQL Server
1. Installing Docker For Mac
Now, The first step is to download and install the Docker desktop setup for your Mac. Your system must have at least 4GB RAM and a supported version of macOS. You can download Docker manually using the Docker Application or from the command line. So, first I will show how to install it from the application and then from CLI. You can choose either way.
a. Install from Application Setup
- Go to the official website to download the Docker Desktop file. Depending on your Mac, you can choose whether your system is integrated with an Intel Chip or with an Apple Silicon Chip. and click on the link to start the download.
- After that, Click on your .dmg file to start the installation of your Docker and then drag the docker icon to Applications folder
- Now, select and “Accept” the docker subscription agreement( It is Free for students or developers and also for small applications.)
- Next, select “use recommendation settings” as you also need to setup a password in this or you can also customize as per your convenience on “Use advanced settings” . But I recommend to proceed with automatic configure settings.
- finally click on “Finish“. and if it asks you for password then enter it.
b. Install from Command line Interface (CLI)
- After installing the “.dmg” application of docker, run the following command line interface.
sudo hdiutil attach Docker.dmg
sudo /Volumes/Docker/Docker.app/Contents/MacOS/install
sudo hdiutil detach /Volumes/Docker
How to Install SQL Server on MacOS?
In this article, we are going to learn “How to install SQL Server Express in MacOs”. Now, before we jump to the setup part, Let’s learn about SQL Server Express. So, SQL Server Express is an open-source RDBMS database management system i.e. Relational database management system which is used to store, update, and access the data stored in different relational databases. It provides many benefits such as scalability, security, and business intelligence.
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