This article will get you familiar with the SQL UPDATE syntax and demonstrate how this statement can be used for modifying data using T-SQL. Data modification side of DML language in T-SQL includes three statements used for modifying data in SQL Server and those are: INSERT, UPDATE, and DELETE. The focus here will be on the UPDATE statement explicitly.
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In this article, we will be talking about the Sphinx search engine and how to use it to install it on the Windows operating system.
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In this article, we will be looking at a feature of SQL Server Analysis Service (SSAS) OLAP Cube that is SSAS Perspectives. We discussed creating SSAS OLAP Cubes in a previous article: OLAP Cubes in SQL Server. In an SSAS OLAP cube, there can be a large number of measures, dimensions and dimension attributes. The following screenshot is the star schema for the selected example that was created from the AdventureWorksDW sample database that can be visible at Data Source View.
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This article gives an insight into the terms in the Git repository of Azure Data Studio. In the previous articles, we learned the following things:
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Visual Studio Code is a popular text editor or code editor to write queries and codes for developers. It is popularly known as VS code. It can highlight and format the code for quick development and understanding purposes.
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In this article, I am going to explain how we can easily debug Python scripts using the Visual Studio (VS) Code. In my previous article on this topic, I have explained how to set up a development environment to start coding in Python. I would definitely recommend reading that article if you have not setup your Visual Studio Code environment yet. This article can be considered as a continuation of the above-mentioned steps as I am assuming that you are already into programming in Python using the VS Code.
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Deleting and updating data is very common, but if performed without taking care, which could lead to inconsistent data or data loss. Today, we’ll talk about SQL best practices when performing deletes and updates. We’re not talking about regular/expected changes, but rather about manual changes which will be required from time to time. So, let’s start.
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In this article, I am going to explain in detail the SSIS catalog that can be used to deploy SQL Server Integration Services (SSIS) projects. Using this catalog, developers and database administrators can easily deploy and manage their integration services projects after deployment. The SSIS Catalog database was introduced in SQL Server 2012 and prior to that users had the following three options to deploy their SSIS packages:
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In this article, we will demonstrate specific ways to automate table partitioning in SQL Server. This article aims to help you avoid manual table activities of partition maintenance by automating it with T-SQL scripts and SQL Server jobs.
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In this article, I am going to explain how we can configure the iSCSI initiator and use it to connect to the iSCSI virtual disk on the target server.
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In this article, we will review how to set up multi-subnet Always On Availability groups using AWS EC2 instances and AWS FSx as file share witness.
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In this article, I am going to explain how to add users to a Power BI workspace using Power BI PowerShell. As you already know, Power BI is a business intelligence tool from Microsoft, using which we can build graphical reports and dashboards which bring some sense to our data that resides on the database. Power BI also has a web interface known as the Power BI service, which can be used to share and collaborate these reports and dashboards with multiple users within or out of the organization.
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In this article, I am going to explain in detail SSIS memory usage and how can we optimize our tasks and the data flow to leverage maximum benefits from the in-memory operating tool. As you might be aware, SSIS also known as SQL Server Integration Services is a data integration tool, provided by Microsoft which comes shipped with the SQL Server editions. SSIS is an enterprise-scale, in-memory data integration tool which can be used to move data between different databases or different servers in a comfortable yet manageable way.
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In the last article, Source Control using Git in Azure Data Studio (ADS), we explored the following topics:
In this article, we will take a step forward and integrate Git installed locally on the GitHub.
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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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In this article, we will introduce SQL queries hint and will analyze the OPTION(Fast ‘N’) hint in detail.
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After discussing the basic features of Azure Machine Learning in my previous article, Introduction to Azure Machine Learning using Azure ML Studio, we will look at techniques of data cleansing in Azure Machine Learning. Data Cleansing or Data Cleaning is an important aspect when it comes to predicting as quality data will improve the quality of data prediction.
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This article gives you an insight into SQL Server Index properties in SSMS.
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In this article, I am going to explain how we can refresh a SQL Database using the Maintenance plan. To demonstrate the process, I have configured two virtual machines. I have installed SQL Server 2016 on both. To refresh the SQL database on destination database server, we will generate a copy-only backup of the SQL database on source database server. I have created a network share directory. Both the source and destination server have the read-write permission on it. The backup file will be copied on a shared directory. Once the database is restored to the destination, we will delete the file from the network share directory.
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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 examine the Identity Cache feature and the identity jump issue. Sometimes we see that identity jumps by some specific or random value in the auto-incremental columns, which is known as the identity jump issue. Usually, it occurs when the SQL Server instance is being forced to restart. This skipped gap is particularly depending on the data type of the column, and most of the time, it is possible that column type can be INT, BIGINT, or Numeric.
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In this article, I am going to explain how to set up your Visual Studio Code for Python Development. Visual Studio Code or, popularly known as VS Code, is one of the free and open-source code editors developed by Microsoft and is mostly preferred by developers of all the major programming languages due to its flexibility and other integrated development tools like debugging, IntelliSense, etc. Visual Studio Code is available to be downloaded for all the major operating systems like Windows, Linux, and macOS. You can visit https://visualstudio.microsoft.com/ to download it based on the OS you are using.
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In this article, I am going to explain how we can install and configure the iSCSI Target Server Role on Windows Server 2016. iSCSI stands for Internet Small Computer System Interface and iSCSI Target Server allows you to boot multiple computers from a single operating system (OS) image.
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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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