SQL Saturday #235 New York City, NY
Come to SQL Saturday New York on August 17 for a day of free SQL Server training and networking. Some of the speakers at this event include Chris Bell, Ben DeBow, Ashish Sharma, and Hilary Cotter
Come to SQL Saturday New York on August 17 for a day of free SQL Server training and networking. Some of the speakers at this event include Chris Bell, Ben DeBow, Ashish Sharma, and Hilary Cotter
Many IT enterprises are starting pilot projects to implement big data solutions. This article highlights what you need to know to check if you're ready to support these efforts, and integrate them into your current architecture, processes, and standards.
Not all SQL-generated scripts are created equal (or correctly) for alternative schema-owned objects.
Humans are often the weakest links in any computer process, but we do need human input. Steve Jones talks about a few issues, and how we should be changing our workflow to reduce issues.
A corollary to Murphy's Law states that disaster is most likely to strike when your senior people are out of the office.
When using SQL Server, you frequently need to work with data that represents intervals of time. For example, consider intervals representing sessions, contracts, projects, and so on. Tasks related to interval manipulation are typically quite intriguing, especially because coming up with efficient solutions isn't easy. Itzik Ben-Gan explains
SQL Saturday is coming to Baton Rouge for a free day of SQL Server training and Networking on August 3.
There is also a pre-conference session presented by Bill Pearson on Practical Self-Service BI with PowerPivot for Excel on August 2nd.
Wouldn't be nice if we can set the "read only" property of any table to be on or off easily with one simple stored procedure call?
Today Phil Factor talks about Big Data, and all the hype that's in the news.
When you're monitoring SQL Server, it's better to capture a baseline for those aspects that you're checking, such as workload, Physical I/O or performance. Once you know what is normal, then performance tuning and resource provisioning can be done in a timely manner before any problems becomes apparent. We can prevent problems by being able to predict them. Louis shows how to get started.
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In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?
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