This article gives an overview of some good and not-so-good features of SSIS package parts.
Node.JS and SQL Server are a good match for creating non-blocking, event-driven database applications. Though you can use ODBC or JDBC to communicate between the two, it is possible to run such applications on platforms such as Azure, Linux, OSX and iOS by using Node together with the JavaScript TDS library called 'Tedious'. 'Tedious' is a mature product but it is still possible to get things wrong in converting SQL Server datatypes such as BigInt to native Javascript data.
SQL Server captures information about usage and send it to Microsoft. Is that a problem? Not for Steve Jones.
In this next installment of our series on Azure SQL Data Warehouse, we'll look at tables and the options for how we decide to create them for optimum performance.
Tom Austin talks about the challenges that arise from trying to include the database in your DevOps process.
The ability to scale out SSRS, so that multiple report server instances can access a single report server database, is an Enterprise Edition-only feature. So when Rodney Landrum was tasked with implementing a scale-out solution, with failover, for SSRS on SQL Server Standard Edition, it required some creative thinking. This article describes his solution, its merits and drawbacks.
Today Steve Jones looks at some data loss lawsuits against Microsoft, but asks the general question of whether software vendors need to be more liable (and careful).
This week Steve looks at all the information and learning available for Power BI.
Aaron Bertrand kicks off his "Performance Myths" series, showing a "redundant" non-clustered index outperforming the clustered index with the same key.
By SQLPals
Track SQL Server Configuration Changes Using the Error Log If you...
Good documentation gets you started. Good books get you deep. After years of working...
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers