The Cumulative Update Dilemma

Knowing your SQL Server is patched when an issue occurs is worth the effort of keeping it patched. While I don’t suggest a zero-day install for most folks, setting up a regular cadence to check is a reasonable ask if you have to manage a system. In this episode of the SQL Data Partners Podcast, we discuss the need for patching and how you might go about it. Special shoutout to Episode 112 with the late Robert Davis on the same subject. We would also like to thank the fine folks at dbatools.io for some nifty PowerShell to help us install patches and Brent Ozar for keeping up sqlserverupdates.com. If you have some additional ideas on how to best meet your patching needs, let us know via social media!

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Maybe you like going to the Windows download catalog…All these other things that Microsoft sells, and all of the patches are in there…and I really only care about SQL Server.

Carlos L Chacon

Meet the Hosts

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Carlos Chacon

With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.

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Eugene Meidinger

Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.

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Kevin Feasel

Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.

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