Data practitioners are often faced with certain challenges related to SQL Server data types. Here are the challenges that may impact different aspects of database management. 1. Data Storage Optimization Diffe
SQL Server built-in functions are either deterministic or nondeterministic. Functions are deterministic when they always return the same result anytime they're called by using a specific set of input values. Functions are nondeterministic when they could return different results every time they're ...
Learn about new features for SQL Server 2022 (16.x), which gives you choices of development languages, data types, environments, and operating systems.
2For Azure SQL Database, columnstore indexes are available in the DTU Premium tiers, DTU Standard tiers - S3 and above, and all vCore tiers. 3The degree of parallelism (DOP) forbatch modeoperations is limited to 2 for SQL Server Standard Edition and 1 for SQL Server Web and Express Editi...
Learn about the changes, improvements, and updates in the SQL Server 2019 release of Master Data Services.
column is an ID and never used for calculations, it is probably OK. If the numbers are "...
If we want to use SQL Server Native Client 10.0 driver to connect to SQL Server 2008, we need to add DataTypeCompatibility=80 in the connection string to have the compatibility to the new data time data types added. These new datetime data types(time, datetime2, datetimeoffset) are mapped...
Applies to:SQL Server 2016 (13.x) Reporting Services and later ❌ Power BI Report Server Learn about what's new in the different versions of SQL Server Reporting Services. This article covers the major feature areas and is updated as new items are released. ...
Applies to: SQL Server 2016 (13.x) Reporting Services and later ❌ Power BI Report Server Learn about what's new in the different versions of SQL Server Reporting Services. This article covers the major feature areas and is updated as new items are released. For more information about ...
In a data-centric world, SQL databases run the show. Software companies, banks, government agencies, universities, and organizations from different industries rely on relational databases to store records, manage data, and perform important business operations. Here are just a few use cases out of...