When deciding whether to use SQL Server Native Client as the data access technology of your application, you should consider several factors.For new applications, if you're using a managed programming language such as Microsoft Visual C# or Visual Basic, and you need to access the new featur...
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When deciding whether to use SQL Server Native Client as the data access technology of your application, you should consider several factors. For new applications, if you're using a managed programming language such as Microsoft Visual C# or Visual Basic, and you need to access the new features...
When deciding whether to use SQL Native Client as the data access technology of your application, you should consider several factors.For new applications, if you're using a managed programming language such as Microsoft Visual C# .NET or Visual Basic .NET, and you need to access the new fea...
I am trying to learn the best way to write queries. I also understand the importance of being consistent. Until now, I have randomly used single quotes, double quotes, and backticks without any real thought. Example: $query = 'INSERT INTO table (id, col1, col2) VALUES (NULL...
SQL Server on Linux Tools Management Studio Can't reach this page in SSMS 19.1 Cannot toggle results pane Error when you try to read error log Failed to retrieve data for this request Object Explorer intermittently crashes OutofMemoryException when executing a query ...
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For step-by-step instructions about how to start SQL Server in single-user mode, seeStart SQL Server in Single-User Mode. Use PowerShell Note Before attempting to open this notebook, check that Azure Data Studio is installed on your local machine. To install Azure Data Studio, seeLearn how...
This article helps you resolve the problem that occurs when you use SQL Server Management Studio (SSMS) to run a SQL query that returns a large amount of data. Original product version:SQL Server 2012, SQL Server 2008, SQL Server 2005 ...
LEARN MORE Massive-scale data NoSQL databases are especially good at handling big data because they’re architected to scale well horizontally across multiple servers. MongoDB’s built-in support for sharding lets developers scale clusters just by adding machines, which in a cloud environment is ...