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Surviving the COVID-19 Dystopia

These are surreal times we live in. The lethal COVID19 strain of the Corona virus is officially a Pandemic, and we quickly realized how fast such a thing can spread in this era of Globalization. With the virus pandemic also arrives a pandemic of blog posts and social network noise. Everyone’s writing and talking about this topic. So, I guess I must too.

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Is Azure SQL Analytics all you need for SQL Server Monitoring?

How well can you monitor Azure SQL Databases and Azure Managed Instances without any 3rd party tools? Is Azure SQL Analytics really good enough for the job? Can it be a decent competitor to powerhouses such as SentryOne, Red-Gate, Apex, Solarwinds and others? Can you use it as a cheap alternative in the cloud? Will I ever stop asking questions and get to the point already? Yes, of course I will! Just keep reading.

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The Ultimate Compression Savings Estimation Script for an Entire Database

Data compression in SQL Server can definitely go a long way in saving storage space, as well as improve performance. It can especially be significant in very large databases. But in certain scenarios it can actually cause more harm than good, and it’s important to identify these scenarios.

I wrote this script which performs compression savings estimation checks for an ENTIRE database. Yeah there are plenty such scripts out there already, but there’s something in particular that they all seem to be missing, and that is the ability to actually generate the relevant remediation commands for you. After all, ain’t nobody got time for writing all those “ALTER TABLE/INDEX” commands themselves!

This is why I created the T-SQL script below. Check out the “messages” tab once the script completes execution, to find the resulting remediation commands. In addition, you will also get a query result with full details.

The script also performs various checks to determine whether PAGE or ROW compression type would be more beneficial (based on stuff such as range scans vs. updates percentage, difference in compression savings, etc.). It has several parameters at the top to control various thresholds and behaviors, so that you could fine tune it for your specific database.

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