In the previous article, Getting started with Visual Studio Code (VS Code), we took a detailed overview of the popular code editor. It supports various programming languages t-SQL, Python, PHP, AWS CLI, PowerShell, etc. We need to use extensions in the VS code to work with these languages. For example, if we open the T-SQL script, it recommends you for the below extension.
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In this article, I am going to walk you through the concepts of the common Data Structures that every student, colleague working with computers should be aware of. Data Structure forms an integral part of any system or database design. It is a very interesting and intuitive concept that you can apply anywhere. Through this article, I aim to introduce the beginners to the concepts of Data Structures and brush up the same for colleagues who have already been associated with the industry for years. This will also help you understand some database concepts more easily once you have a grasp over these concepts.
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Often enough, multilayer software has bugs. SQL Server Extended Events system offers tools that can help find those bugs. A bug can happen in any layer – data, logic, or presentation. To fix those bugs, it helps to see the exact parameters and values that the presentation layer sends to the data layer. As a data layer product, SQL Server Extended Events can help with this.
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This article gives you an insight into SQL Server Index properties in SSMS.
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Azure Data Studio is a tool for both developers and database administrators with exciting features. You can install ADS on both Windows and Linux platforms. You can go through various Azure Data Studio articles on SQLShack to be comfortable with the tool and its features.
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In this article, we will discuss and understand a method to migrate an on-premises SQL Server database to the Azure SQL database.
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Azure Data Studio extensions enable adding new functionality for development and administrative tasks. It is an open-source functionality and allows Microsoft as well as third party extensions using Marketplace. We explored a few useful extensions in the Azure Data Studio category of articles.
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In this article, we will briefly explain the SUBSTRING function and then focus on performance tips about it.
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There are Magic Tables (virtual tables) in SQL Server that hold the temporal information of recently inserted and recently deleted data in the virtual table. INSERTED and DELETED are two types of magic tables in SQL Server. An INSERTED magic table is populated with INSERT and UPDATE operations and DELETED magic table is populated with UPDATE and DELETE operations.
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In the previous article, Starting your journey with Azure Data Studio, we put the first stone that helps you to be familiar with the Azure Data Studio and start using it to interact with your database objects.
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Database administrators can leverage the scalability, automation, and flexibility of Kubernetes to create a highly available SQL database cluster. In this article, you will learn what Kubernetes is, what are the benefits of running an SQL database on Kubernetes, and how to deploy MySQL on Kubernetes.
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In this article, we will introduce the Azure Data Studio in a way that makes it easy for you to start using it. Enjoy the reading!
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In this article, we will explore computed columns in SQL Server and their configurations.
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In the article, a CASE statement in SQL, we explored one of the important logical expressions – the Case statement in SQL Server to return the values based on the specified condition. Today, we will talk about another useful logical Choose() function in SQL Server 2012 onwards and its comparison with the Case statement.
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In this article, I am going to explain in detail about actions and tasks in the SQLPackage Utility. In my previous article, I have explained the overview of the SQLPackage utility. The SQLPackage utility is a command-line utility tool provided by Microsoft to automate SQL Server database deployments. Since this utility is cross-platform, you can easily install it on any operating system of your choice. SQLPackage actions are the types of functions that we can achieve with this utility. You can install this utility directly on any production server and it can be used as is. You can find more information about this utility and SQLPackage actions from the official documentation from Microsoft.
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In this article, we explore a SQL function to extract SQL database metadata using the DATABASEPROPERTYEX function.
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In this article, I’m going to explain in detail about the SQLPackage utility that is provided by Microsoft in order to automate database deployments. In my previous article regarding Data-Tier Applications in SQL Server, I have mentioned how to create a DACPAC and a BACPAC file from an existing SQL Server Database. The underlying technology behind creating the DACPAC and the BACPAC files is the SQLPackage utility, which helps to create those files.
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In this article, we will explore the Composite Index SQL Server and the impact of key order on it. We will also view SQL Server update statistics to determine an optimized execution plan of the Compositive index.
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This article guides you through importing XML documents into SQL tables using SSIS packages.
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In this article, we will explore JSON_QUERY() functions in SQL Server to extract JSON objects and array from the JSON Data.
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We can use an SSIS package to perform various tasks such as data import, transform, and get output in various formats. Once we launch Visual Studio 2019 and create an integration services project, it shows you various tasks in the SSIS toolbox. In this article, we will explore the XML Task in the SSIS.
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In this article, I am going to explain the MySQL CREATE TABLE statement with examples. The following syntax contains basic statements to create a table in MySQL.
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Lever T-SQL to handle duplicate rows in SQL Server database tables article highlighted T-SQL features that detect and handle duplicate SQL Server table rows. The techniques work well, but they rely on fixed duplicate row definitions. This article extends those techniques, showing how to define duplicate rows in a dynamic way.
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In this article, you will learn about Azure SQL Database and its uses. Then the article splits into two sets of tutorials. The first part will show you how to create a single database in Azure SQL Database. The second tutorial will show you how to build an ASP.NET app in Azure SQL Database.
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In this article, we will explore JSON_VALUE() function in SQL Server to extract scalar values from JSON data.
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