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Category: Deployment

Rolling Your Own Serverless SQL Pool Database Project

Published 2023-02-28 by Kevin Feasel

Kevin Chant doesn’t let the lack of support for a product limit him:

In this post I want to share how I created a homemade serverless SQL Pool database project.

Because I know people are keen to work this way right now. Mostly due to the comments I received when I covered how to deploy a dacpac to a serverless SQL pool.

By the end of this post you will know how I created a database project for it. Plus, how you can deploy the contents of the database project with Azure DevOps. I also share plenty of links along the way.

Though Kevin did run into some challenges trying to hack in a solution, so it’s not quite as useful as you’d first hope.

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Lessons Learned from Creating Database Projects

Published 2023-02-21 by Kevin Feasel

Olivier Van Steenlandt shares some hard-earned knowledge:

Almost 5 years ago I made the switch from “traditional” database development using SQL Server Management Studio to a more flexible way of development by using Database Projects and Source Control. In the first few years, I worked with BitBucket as my code management system and for 2 years I’m using Azure DevOps. In my spare time, I’m using GitHub as well.

During this transition, I came across a couple of bumps, because I wasn’t familiar with Database Projects and I only had a notion about Source Control (Git). In this blog post, I will describe my journey and the lessons learned during the process.

Click through for several tips.

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Deploying a dacpac to the Serverless SQL Pool

Published 2023-02-16 by Kevin Feasel

Kevin Chant drops some dacpacs off at the (serverless) pool:

In this post I want to cover deploying a dacpac to a serverless SQL pool using Azure DevOps. Yes, you are reading that right. It is now possible thanks to a sqlpackage update.

To clarify, a dacpac file is a special file that you can use to deploy updates to SQL Server related databases using a state-based deployment. Plus, when I say serverless SQL pool I mean an Azure Synapse Analytics serverless SQL Pool.

Kevin includes examples for Azure DevOps as well as GitHub Actions.

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Power BI Publish to Web

Published 2023-01-26 by Kevin Feasel

Reza Rad takes us through the Publish to Web option in Power BI:

Publish to the web is an easy way of sharing public data. However, it has some disadvantages as well. In this article and video, you will learn about this feature in more detail, and you will learn this feature is, and how it is different from Power BI Embedded. It will be a very long article if you want to learn about both Power BI Embedded and Publish to the web and compare them here. So in this article, I’ll explain Publish to Web, and in another article, you’ll learn about Power BI embedded and their differences. In this article, you will learn how easy it is to share your report with the public through a web page which can be your blog post, an HTML page, or any other web page. Some frequently asked questions about this feature are answered through the content of this article. If you like to learn more about Power BI, read Power BI online book, from Rookie to Rock Star.

Read on for the video as well as a full-length article.

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CI/CD for the Synapse Serverless SQL Pool

Published 2023-01-25 by Kevin Feasel

Kevin Chant has some links for us:

Last week the January 2023 video of the Azure Synapse Analytics and Microsoft MVP series was released. Where I covered how to do CI/CD for dedicated SQL Pools in Azure Synapse Analytics.

Since the release of that video the most popular question raised has been how to perform CI/CD for serverless SQL Pools within Azure Synapse Analytics?

Read on for links galore.

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SQLCMD Variables in Database Projects

Published 2023-01-24 by Kevin Feasel

Olivier Van Steenlandt can’t live in this static world:

When I started to explore and use Database Projects, I ran into a specific situation quite fast where I was required to use SQLCMD variables. In this blog post, I will describe what they are, how you can use SQLCMD variables in Database Projects and where this might become very useful for you.

Click through for a scenario, a primer on using SQLCMD variables, and some basic details on how to use them in database projects.

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Pull Requests and Database Projects

Published 2023-01-11 by Kevin Feasel

Olivier Van Steenlandt continues building out a database project:

A Pull Request is an alternative way of merging branches. Instead of executing the merge yourself, you will create a Pull Request for someone else to revise your development and approve and merge when ok. By doing this you are introducing peer reviewing into your development process. From my experience, using Pull Requests will improve your development quality since someone needs to validate your changes before they can be deployed to a certain environment.

I wouldn’t advise using Pull Requests to get changes in a development environment but I would advise using it to get changes to an Acceptance- or Production environment. By doing this, you can already find issues in an earlier stage than in production.

Read on to see how they work, using Azure DevOps as the example. GitHub pull requests are very similar in nature.

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CI/CD and Postgres

Published 2023-01-09 by Kevin Feasel

Ryan Booz thinks about Database DevOps:

At the core, the biggest problem we needed to solve was making our database change process visible to the whole team. We had to modify our processes and the expectations we had of individual people within the team to deliver better, more consistent value at the data layer.

The tools we chose for our circumstances don’t apply completely to PostgreSQL because they were SQL Server specific. But the process and benefits of building a “database as code” mindset within the team accelerated our velocity and quality. And Joe didn’t have the weight of the world on his shoulders.

Ryan includes links to additional resources and tells an interesting story along the way.

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Power BI DevOps and CI/CD

Published 2022-12-30 by Kevin Feasel

Paul Turley tackles a difficult topic:

By most estimates, far more than 80% of all Power BI projects are small and performed by one Data Analyst or Developer. We know that Power BI is also used to develop high-volume datasets, models and business reports in full-scale deployment scenarios where DevOps principles are taken very seriously. So, with a significant minority of large-scale Power BI projects fitting into a category where someone might even think about fundamental concepts like version control or team development; what, exactly does DevOps for Power BI even mean when one size doesn’t fit every project?

Read the whole thing. Paul also includes a video on the topic for those so inclined.

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