Data Mining Part 24: SQL Profiler and Data Mining
In this chapter we will detect the Data Mining activity using SQL Server Profiler.
In this chapter we will detect the Data Mining activity using SQL Server Profiler.
In this chapter we will detect the Data Mining activity using SQL Server Profiler.
In which Phil Factor casts doubts on 'programming policies'. For certain, any IT team development requires plenty of methods of working that maximise productivity, but coding standards and ‘best practices’ have to be treated with caution. Programming rules can’t replace professional judgement
In this tip, Dallas Snider shares his experience with how someone can start learning T-SQL from the beginning with no prior knowledge.
Inspired by the movie with the same name, Steve Jones has a Friday poll about inspiration and ideas.
The adoption of Continuous Delivery often leads to the discovery of suboptimal practices within an organisation, and the Release Testing antipattern is a common example. Steve Smith explores the questions: what is Release Testing, and why is it an example of Risk Management Theatre?
SQL Saturday is a full-day technical conference and training event with international speakers. With over 20 sessions on SQL Server and a separate pre-con, the event is aimed at all those interested in SQL Server - from pros to beginners. This event will be on February 28, 2015, so register while space is available.
This article is about how a view works when it is created on a table with clustered columnstore index on it.
Today we have a guest editorial from Andy Warren with a few hints on how you can continue to be proactive as a DBA.
After discussion the main concepts and basic API calls for Azure Storage Queues in parts 1 and 2 of this series, Roman Schacherl turns his focus to two topics that no one likes to implement but everybody needs: security and performance.
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
By Steve Jones
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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