A Self-Serve System that Allows Developers to Refresh Databases (Part 1)
Empower developers to refresh their own test systems with production backups.
2019-05-02
6,743 reads
Articles
Introduction to SQL Server Security — Part 5
SQL Server contains many built-in views and functions that can be used to understand what is going on “under the hood,” and security is no exception. In this article, Robert Sheldon explains the security related catalogue views, dynamic management views, and system functions
2019-05-02
Which Database is Causing the Problem?
You’ve got one SQL Server hosting a bunch of databases, and performance is bad. Which database should you focus on first?
2019-05-02
SQL Server Trigger on View Example
In this tip we look at how to create a SQL Server trigger on a SQL Server view.
2019-05-01
Build an OLAP Cube in SSAS using an ADO.NET Data Provider
SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications, such as Power BI, Excel, Reporting Services reports, and other data visualization tools. When paired with ADO.NET data providers, you can create cubes from external data […]
2019-04-30
3,623 reads
Compressed Microsoft SQL Server Backups by Default
Learn how to create default database compression for your SQL Server databases.
2019-04-30
Row Pattern Recognition in SQL
Itzik Ben-Gan asks you to invest in SQL Server's future by voting for Row Pattern Recognition, a potential T-SQL syntax extension he deems the next step in the evolution of window functions.
2019-04-30
2019-04-29
18,445 reads
Call SQL Server Stored Procedures with PowerShell using Parameter Objects
In this tip we look at how we can use PowerShell to validate input values into SQL Server stored procedures prior to execution of the stored procedure
2019-04-29
Processing Data Using Azure Data Lake, Azure Data Analytics, and Microsoft’s Big Data Language U-SQL
Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.
2019-04-29
Blogs
Rethinking Index Maintenance: Why avg_fragmentation_in_percent Is Outdated and What You Should Do Instead
By Tim Radney
As a SQL Server DBA with years of experience tuning production environments, I’ve seen...
Microsoft Build 2026 announcements
By James Serra
Once again there were a number of Microsoft Build announcements related to data and...
T-SQL Tuesday #199: Roundup
A good week ago I hosted the monthly T-SQL Tuesday blog party. I invited...
Forums
Changes, Happiness, and a Few Tears
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BCP on Linux
Comments posted to this topic are about the item BCP on Linux
You Probably Don't Need a Vector Database
Comments posted to this topic are about the item You Probably Don't Need a...
Question of the Day
BCP on Linux
When running bcp on Linux, what is the field terminator?
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