Code analysis with SQL projects

SQL projects are a development capability for SQL Server and Azure SQL where your database objects are stored as code with integrations for CI/CD capabilities like code quality checks and dynamically calculated deployments. This article walks/runs through the fundamentals of code analysis with SQL projects and how it is useful both for local development and as a CI check.

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Introduction to SQL projects

SQL projects are a development capability for SQL Server and Azure SQL where your database objects are stored as code with integrations for CI/CD capabilities like code quality checks and dynamically calculated deployments. This article walks/runs through creating a new SQL project and deploying it to a database from the command line and any text editor. The tooling ecosystem around SQL projects includes VS Code, Visual Studio, and the SqlPackage CLI. Learn more about all of this at the Microsoft.Build.Sql projects documentation.

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Connecting to SQL Server on macOS from Windows VM

There are a few instances where you want to run SQL Server on macOS and interact with it from a windows VM. As someone that works within the world of SQL Server/Azure SQL, the use of SQL Server Management Studio (SSMS) comes to mind immediately - for the tasks you can’t complete in Azure Data Studio on macOS directly. Another adjacent (and generally unfortunate scenario) is when work with .NET Framework is required, and for that, you need Windows. This article will step through the network information needed to connect from a Windows VM on macOS to a SQL Server container.

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Using Python and Azure Functions to send data from Azure SQL Database

When building applications on Azure SQL, one of the most flexible ways to send data from your database to other systems is to use Azure Functions. Azure Functions are serverless functions that can be triggered by a variety of events, including HTTP requests, timers, and Azure SQL Database changes. In this article, we will discuss how to send data from an Azure SQL Database to an FTP server and API endpoints using Azure Functions. The complete sample code for this article is available on GitHub.

This post is syndicated from https://devblogs.microsoft.com/azure-sql/using-python-and-azure-functions-to-send-data-from-azure-sql-database/

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OMSCS Research Options

The Georgia Tech online masters of science in computer science has been a groundbreaking endeavour to bring an MS CS program to students at a massive scale.

In five years, the program has received over 25,000 applications and enrolled more than 10,000 students (including those who have graduated), all working their way toward the same Georgia Tech M.S. in Computer Science as their on-campus counterparts. - https://omscs.gatech.edu/explore-oms-cs

Despite the use of online communities, legions of teaching assistants, and other techniques to expand the reach of a traditional masters of science program to thousands of students, there are still opportunities for students to be deeply engaged with university resources. One of these categories of opportunities is research and independent projects, which I was fortunate to experience in three ways during my time in the program.

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