Azure Archives - AzureOps

Connect Python Azure Function to Azure SQL Using Managed Identity

Azure, Function, Managed Identity, Python

An Azure Function is a lightweight, serverless compute option in Azure that lets you execute small chunks of code in response to events or schedules without managing servers. When connecting Azure Functions to Azure SQL Database, you need a secure way to authenticate without storing credentials. That’s where Managed Identity steps in. Managed Identity allows […]

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SSMS 21 Copilot: Here’s How It Works

AI, Azure, Microsoft Copilot, SQL Database

SQL Server Management Studio (SSMS) version 21 introduces native Copilot integration, enhancing SQL development. Users can connect to Azure OpenAI for efficient query generation and debugging in read-only mode. Copilot aids in writing, fixing, and optimizing SQL queries without executing modifications, ensuring control and security over data.

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Cross Database Query in Azure SQL Database

Azure, SQL Database, SQL Server

In modern cloud architectures, it’s common to distribute data across multiple Azure SQL Databases. While this promotes modularity and scalability, it can pose challenges when you need to access data across these databases. Fortunately, Azure SQL’s external tables feature allows for seamless cross-database querying without data duplication. This feature is also known as Elastic Query

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Azure Analysis Services Model Missing

Analysis Services, Azure

In this article, we will see how to fix Azure Analysis Services model missing issue.

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Automate Databricks Infrastructure as Code with Terraform

Azure, Databricks, DevOps, Terraform

This article describes how to Implement Infrastructure as Code Databricks with Terraform.

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Deploy DACPAC to Azure SQL Database

Azure, DevOps, SQL Database, SQL Server

This guide will walk you through the process of deploy DACPAC to Azure SQL database directly from Visual Studio.

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Create Python Azure function in Visual Studio Code

Azure, Function, Python

Azure Functions is a serverless computing service that enables developers to deploy small pieces of code without the need to manage the underlying infrastructure. It supports various programming languages, including .NET, Python, JavaScript, TypeScript, Java, PowerShell, and C#, providing flexibility and versatility for various applications. This article describes how to create Python Azure function in

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Parse JSON in SQL Server

Azure, SQL Database, SQL Server

JSON (JavaScript Object Notation) is a lightweight data-interchange format that has become a standard for data exchange in web and database applications. With the rise of JSON’s popularity, SQL Server introduced built-in support for JSON starting with SQL Server 2016. In this article, we will explore how to parse JSON in SQL Server and extract

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Databricks VACUUM Command

Azure, Databricks

Databricks is a unified big data processing and analytics cloud platform for transforming and processing vast volumes of data. Apache Spark is the building block of Databricks, an in-memory analytics engine for big data and machine learning. In this article, we will see how to use the Databricks VACUUM command to remove unused files from

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A project which specifies SQL Server 2022 or Azure SQL Database Managed Instance as the target platform cannot be published to Microsoft Azure SQL Database v12.

Azure, DevOps, SQL Database, SQL Server

While deploying a DACPAC project to Azure SQL Database using Azure DevOps, you may encounter an error due to specifying SQL Server 2022 as the target platform. The article provides steps to fix this issue by changing the target platform to ‘Microsoft Azure SQL Database’ in Visual Studio and rebuilding the project.

A project which specifies SQL Server 2022 or Azure SQL Database Managed Instance as the target platform cannot be published to Microsoft Azure SQL Database v12. Read More »

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