Note: This post is based on an editorial I originally published over at SQL Server Central Years ago, I worked on a fabulous team of eight database administrators We supported more than a hundred developers who worked in an agile fashion. When I first joined the DBA team, we had a shared on-call rotation, but each DBA specialized in a certain area of the environment and regularly met with the development teams working on that area.
I learned an interesting thing about ALTER VIEW behavior in SQL Server when applied to indexed views. This is covered in the product documentation, but it’s not something I would have expected: ALTER VIEW can be applied to indexed views; however, ALTER VIEW unconditionally drops all indexes on the view. ALTER VIEW documentation When I first heard about this behavior, it sounded like a bug to me: why should an alteration like adding a column to a view remove all the indexes?
Redgate is growing, and we have some fresh, new open positions around the world which would be a great fit for SQL Server developers or DBAs who would like to transition to a customer-facing role and develop expertise in Redgate’s solutions for Compliant Database DevOps. Here are the listings and locations for three of these roles:
In the past week or so, the Microsoft Data Platform community has begun having a discussion about inclusivity, both on Twitter and across community blog posts.
This conversation began when a member of the community shared their story about being repeatedly mis-gendered and additionally feeling excluded, unwelcome, and hurt at a series of community events.
When implementing any kind of automation for database deployments, it’s important to implement safeguards for your production environment. This is needed even in the best conditions when team members collaborate well and there is a high level of trust, for a very simple reason: accidents happen easily!
I asked a question on Twitter yesterday: “If running SQL Server 2008 in an Azure VM (no SQL upgrade possible, extended support in place), is the best option for high availability Database Mirroring? Or something else I am not thinking of? #sqlhelp”
In this 70 minute livestream recording, I kick the tires of a fresh new Azure DevOps demo environment showing Redgate’s Hybrid Model for SQL Source Control and SQL Change Automation.
One of most the fun things about working as an Advocate at Redgate is getting to help clients determine their preferred workflow for database DevOps.
Teams often have unique requirements and are using different combinations of tooling, so figuring out the best way to accomplish what they need typically involves leveraging what I already know, collaborating with my coworkers and the client to generate ideas, researching and prototyping solutions, and then getting feedback from everyone.
When people begin applying DevOps principles to database development using Redgate tooling, often one of the first steps in the process involves getting database code into version control. Questions naturally come up about how to manage the flow of changes to database objects from development into production once changes begin occurring.
I’ve learned a bit about Git in the last year: I’m now quite comfortable creating and managing Git Repos in Azure DevOps. I frequently do demos with SQL Change Automation and SQL Source control with Git on Redgate’s YouTube channel, and I’ve published a Git Cheat Sheet for the Command Line Interface.
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