Most large organizations have implemented one or more big data applications. As more data accumulates internal users and analysts execute more reports and forecasts, which leads to additional queries and analysis, and more reporting. The cycle continues: data growth leads to better analysis, which generates more reporting. Eventually the big data application swells with so much data and querying that performance suffers.
Could you spare 3 minutes to do us a quick favor? Redgate’s running this short survey on how our readers develop and deploy databases. It’s just 12 multiple choice questions, so if you’ve got a couple of minutes to spare, we’d love to hear from you.
Today Steve Jones talks leadership, and the value it can bring to your team if you display just a little of it.
A database must be able to maintain and enforce the business rules and relationships in data in order to maintain the data model. It does this through referential constraints. They aren't complex, but are powerful, especially with the means to attach DRI actions to them. Joe Celko explains all, and pines for the ANSI CREATE ASSERTION statement.
PASS President Tom Larock doesn't make long term plans. Steve Jones doesn't make long term plans. Do you?
PowerShell V2 introduces the "try-catch-finally" statements, similar to those you already use when you write .NET code. "Try-catch-finally" encloses a block of script that is likely to produce errors under specific circumstances and therefore helps you to keep your code organized. This article is a short usage guide for this error handling construct.
Use SSIS to pull data from multiple instances. Combine with powershell to run multiple instances simultaneously.
This week Steve Jones talks about the query store after an article was released describing it.
Performance tuning and optimization definitely have their place in minimizing SQL Server Licensing costs – by helping keep CPU utilization low. But it’s important to remember that the fastest and most efficient query possible is the one that you never execute against your SQL Server. That might sound trite, but it’s at the heart of caching – which is key to helping organizations save significant money on SQL Server licensing costs while simultaneously enabling better application performance and increased scalability.
This article describes a way to identify the user who truncated the table & how you can recover the data.
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
By ChrisJenkins
There are some telltale signs that your growing business has outgrown Excel for your...
Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...
Comments posted to this topic are about the item Stairway to Reliable Database Deployment...
Comments posted to this topic are about the item QUOTENAME Quote Parameters
Comments posted to this topic are about the item Limit the Blast Radius
When I use QUOTENAME(), I can optionally provide the character used to surround the string in the result. Can I use any character?
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