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Continue reading →: SQL Server 2019 – VLDB struck in “In Recovery”!
Getting straight to the point, Chances are very high that you will run into the issue that we are going to see in this blog post when you try to restore a database larger than 30 TB running on SQL Server 2019 CU1. Environment: SQL Server 2019 CU1 DB1 –…
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Continue reading →: Uninstalling CUs/Downgrading SQL Server in Linux(RHEL7)
Back in 2011 I wrote an article on how to uninstall service packs in version SQL 2008/R2 which was quite a popular post at that time based on my wordpress stats. (Well, SQL 2008 was the very first version that allowed us to do that) Fast forward to year 2020…
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Continue reading →: Install and open/run Azure Data Studio in CentOS
In this blog post let’s see how to install Azure data studio in CentOS and where/how to locate the executable if you are unable to find in GUI. For this demo, I am using CentOS 7 as my operating system. Installing ADS in CentOS is pretty straight forward process as…
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Continue reading →: How to install MongoDB in RHEL & in Docker Container.
In this blog post, lets see how to setup and configure MongoDB in Linux environment (I am using CENTOS in my lab, but the steps to follow are exactly same for RHEL) and also how to spin up a MongoDB container(s), I will be using Dockers for all my containers.…
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Continue reading →: How to install docker engine in CentOS 8
In this short blog post, Let’s see how to install Docker engine in CentOS. I thought it would be pretty straight forward process of issuing a command or two and be done with it, but I ran into a small hurdle that I would like to share. So, I was…
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Welcome to MSSQLTREK, my little corner of the internet where I geek out about SQL Server, databases, and all things cloud. This blog is my space to share lessons learned, cool tips, real-world troubleshooting stories, and the occasional deep dive into data and performance. Whether you’re a fellow Cloud Architect, DBA, Developer, or just cloud-curious, come along for the ride — let’s explore, optimize, and build awesome data solutions together!
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