When you're developing database applications, it pays to check for index scans in the SQL Server query plan cache. Once you've identified the queries, what next? Dennes Torres gives some preliminary guidelines on how to find out why these index scans are being chosen for these queries and how to make the queries run faster and more efficiently.
I had an update statement that took 3 minutes to run after this code change it took 6 seconds.
In this article, Robin Shahan talks about security and how to control access to containers and blobs using shared access signatures (SAS) and stored access policies.
This Friday Steve Jones asks about how you are tackling your career growth as you get older. Are you getting more efficient?
'Temporal' tables contain facts that are valid for a period of time. When they are used for financial information they have to be very well constrained to prevent errors getting in and causing incorrect reporting. This makes them more difficult to maintain. Is it possible to have both the stringent constraints and simple CRUD operations? Well, yes. Dwain Camps patiently explains the whole process.
SQL Saturday, organized by SQL South West, is coming to Exeter, England on April 25. This is sure to be a special event, and as always, offers a free day of training and networking. Register while space is available.
As big data application success stories (and failures) have appeared in the news and technical publications, several myths have emerged about big data. This article explores a few of the more significant myths, and how they may negatively affect your own big data implementation.
Steve Jones talks about a recent survey that showed more people use GUIDs as primary keys than identity values.
When effective end dates don't align properly with effective start dates for subsequent rows, what are you to do?
Redgate is hosting a 1 day public workshop on April 22, 2015. This workshop will teach you how to put a database in source control, deploy a database from source control, and monitor database changes across development, testing, and production environments.
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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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