T-SQL Tuesday #62 - Achieving Healthy SQL with MDW
Today:
Tuesday, January 13, 2015 is the 62nd entry and first T-SQL Tuesday
of the year 2015, and I am honored to...
2018-03-27 (first published: 2015-01-13)
8,757 reads
Robert Pearl
Help! I'm stuck in Single User Mode and can't get out!
So, here’s a silly little take on a serious end-user issue where no-one could access the production database.
Got a call...
2017-08-11 (first published: 2014-04-07)
123,891 reads
Data Science & Workshop - NYC
So, the new industry buzz word is Data Science. Are you a Data Scientist? Do you remember taking that in...
2016-08-23
1,575 reads
TOMORROW: CNJSSUG Presents - Hilary Cotter - Performance Tuning
Wednesday, August 10, 2016, The next meeting of the Central NJ SQL Server Users Group will be on Wednesday August...
2016-08-09
1,165 reads
T-SQL Tuesday 79 - It's SQL Server 2016 - stupid
Well, today is a busy T-SQL Tuesday no. 79, (it's also Flag Day in the U.S, and also a clerical...
2016-06-14
1,842 reads
SQL Server 2016 NYC Launch Event - Slide Decks Posted!
Quick post-event follow-up of our very successful SQL Server 2016 NYC Launch Event! We would like to thank ALL our...
2016-06-10
1,400 reads
THE SQL Server 2016 NYC Launch Event Schedule
Presenting the OFFICIAL SQL Server 2016 NYC Launch Event Schedule for Thursday, June 2, 2016, just ONE day after the...
2016-05-31
1,958 reads
SQL Server 2016 NYC Launch Event - Tickets Running Out!
In a previous blog, I spoke about the upcoming RTM Launch of SQL Server 2016 - Get Ready! Microsoft is ready...
2016-05-24
1,331 reads
SQL Server 2016 - Launch Get Ready
You've been waiting, you've been asking, some begging to know the magic date of when Microsoft's SQL Server 2016 will...
2016-05-06
1,125 reads
Are You Data Driven? SQL Server 2016 revealed!
By now, all you folks who logged on to watch the ultimate Microsoft Data Driven event, streamed live from New...
2016-03-11
1,256 reads
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Question of the Day
Distance Metric Algorithms
What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
See possible answers