Deploy Azure SQL External Tables Using an Azure DevOps CI/CD Pipeline
Quick answer: To deploy Azure SQL external tables through an Azure DevOps pipeline, replace hardcoded credential and data source values
Quick answer: To deploy Azure SQL external tables through an Azure DevOps pipeline, replace hardcoded credential and data source values
Learn how to compare Azure SQL Database schemas with SqlPackage and DACPAC files, generate a deployment script, review differences, and automate schema comparisons.
In modern cloud architectures, it’s common to distribute data across multiple Azure SQL Databases. While this promotes modularity and scalability,
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.
This guide will walk you through the process of deploy DACPAC to Azure SQL database directly from Visual Studio.
Learn how to parse JSON in SQL Server using OPENJSON, JSON_VALUE, JSON_QUERY and ISJSON, with examples for arrays, nested objects, table columns and SQL Server 2025.
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.
Learn how to find long-running queries in Azure SQL Database using DMVs, including query duration, CPU, reads, writes, and SQL text.
In this blog post, we’ll delve into the step-by-step guide of how to implement Azure SQL database Deployment CI CD pipeline using Azure DevOps.
Learn how transaction batching in SQL Server reduces transaction log pressure, limits blocking, and makes large UPDATE and DELETE operations safer and easier to manage.