Data Mining: Part 15 Processing Data Mining components with SSIS
In this lesson, we will show different components to Administer the Data Mining Models with SSIS.
In this lesson, we will show different components to Administer the Data Mining Models with SSIS.
Preparing a disaster recovery plan means more than just trying to prevent a few specific disasters. It means turning around the way you view the world.
The first test of AlwaysOn in SQL Server 2012 is successful, but after testing to swing back again to your primary replica, you find out that automatic failover works only the first time. How come? Carla Abanes explains.
Nobody seems to ask questions about SQL Expressions in forums, even though expressions can cause all sorts of problems. It's time for some straight-forward Q&As, and who better than Robert Sheldon to give the A?
SQL in the City is coming this fall to London and Seattle.
After performing an update on SQL Server, SQL Server Engine and SQL Agent stop responding.
As the enterprise embraces big data, management assumes that staff sizes will decrease. What should be done with those unneeded technologists? One answer: convert them into technology consultants that collaborate and coordinate with the lines of business. In other words, give them customer-facing roles.
SQL Saturday is coming to San Diego on September 20, 2014. This event has a great speaker line-up which includes Itzik Ben-Gan, Grant Fritchey, and many others. Register while space is available.
An SSIS package that can generate an XML file for each record in an XML column in a SQL Server Database using the Source Script Component in a Data Flow Task.
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
Hi to all We have situation at a client where someone is illegally changing...
Hi to all We have situation at a client where someone is illegally changing...
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 TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers