The whole point of using a cloud service is to be able to use it intensively for a brief period just when it is needed and then clear out all your work when you've finished. This means automation to make the process as quick and easy as possible. It is likely to mean creating a VM, provisioning it from scratch and spinning it up using PowerShell. Relax, grab the popcorn, and let Adam Bertram show you how he does it in Azure.
Passwords are always a challenge, but are bad passwords the users' fault? Steve Jones has a few thoughts.
Arshad Ali demonstrates what the APPLY operator is, how it differs from regular JOINs, and what its applications are.
Steve Jones talks version control, but from the production perspective.
Traditional deployments of Azure SQL Database involve identifying projected resource requirements and selecting individual Azure SQL Database instances. For fluctuating workloads, this frequently results in over- or under-provisioning. To address this challenge, Microsoft offers another approach to sizing Azure SQL Database that relies on Elastic Database Pools. Marcin Policht takes a look.
Someone made a call to architect zero downtime for databases. Steve Jones isn't sure this is the best thing you could do.
You can develop a Power BI Dashboard that uses an R machine learning script as its data source and custom visuals. Here is a simple example that shows how to connect to data sources over the Internet, cleanse, transform and enrich the data through the use analytical datasets returned by the R script, design the dashboard and finally share it.
There's a push to upgrade those SQL Server 2005 instances with support ending this April.
Are you thinking about the cloud yet? Redgate is conducting some research into cloud adoption to better understand both the drivers and the blockers. Whether or not you’ve taken the plunge yet, they would love to hear from you. Participate in the survey and be entered into a draw to win an Amazon gift card worth $100.
When maintaining or refactoring an unfamiliar database, you'll need a fast way to uncover all sorts of facts about the database, its tables, columns keys and indexes. SQL Server's plethora of system catalog views, INFORMATION_SCHEMA views, and dynamic management views contain all the metadata you need, but it isn't always obvious which views are best to use for which sort of information. Many of us could do with a simple explanation, and who better to provide one than Rob Sheldon?
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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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