27Jun 2024 by Grant Fritchey No Comments

Data Technology Learning Resources

AWS, Azure, Database Fundamentals, PostgreSQL, SQL Server
Hey all! Quick one here. Tracy Boggiano, awesome person that she is, has put together an interesting collection of data over on GitHub. It's titled DBA Resources, but it goes beyond DBAs. It's much more about the different data platforms on display. And, it's in Github. Create a pull request and you can add to it. Get your own blog on there, whatever. Anyhoo, worth a look. I'm going to do some contributions. Oh, AND, it's multi-platform, cause, isn't everything these days.
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27Feb 2023 by Grant Fritchey No Comments

What Happens on Azure SQL Database?

Azure, SQL Server
Last week I posted the results from using Extended Events to snoop on what happens inside an AWS RDS database. This week, I'm taking a look at what happens on Azure SQL Database. I'm using the same toolset again, if for no other reason that I'm consistent in my approach. So it's basically just rpc_completed & sql_batch_completed on the database in question. Let's check out the results. What Happens on Azure SQL Database I would be doing the same thing as before, breaking apart the batch commands from the stored procs and/or prepared statements. However, after 48 hours, I only have 116 of both, so I'm just going to combine them this time. The batch called most frequently, for a whopping total of 8 times over 48 hours, isn't even…
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03Feb 2022 by Grant Fritchey No Comments

PostgreSQL Restore in Azure

Azure, PostgreSQL
I recently wrote an article about PostgreSQL restores (and by extension, backups) over on Simple-Talk. The restore process within PostgreSQL, without 3rd party involvement, can be a little tricky. However, when you are using a Platform as a Service offering, like Azure Database for PostgreSQL, things get quite a bit easier. Let's explore this just a little. Restores Come From Backups I know we all know this, but as I said in the article over on Simple-Talk, discussing backup strategy is a mistake. You should instead be discussing a restore or recovery strategy. How do you intend to get your database back? How much data are you prepared to lose? How long should a restore take? Answering these questions leads you to a Recovery Point Objective (RPO), which tells you…
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29Nov 2021 by Grant Fritchey No Comments

Get SQL Server 2022 Now: It’s Called Azure

Azure, SQL Server
If you're like me, your palms went into a cold sweat to get your grubby fingers on the bits for SQL Server 2022 a few nanoseconds after you heard the announcement. Well, you might be waiting a while. As will I. However, I really do want to start experimenting with some of the functionality right now. If you do to, then join me at Azure SQL Database. Azure SQL Database as a Preview for SQL Server 2022 Yeah, I know it's not the same. I get it. You have a need to run this stuff on big iron, not virtual, and certainly not in the cloud. Still, you want to learn, right? Tons of the new functionality is either already in Azure or incorporates Azure functionality. You can get started…
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26Apr 2021 by Grant Fritchey 2 Comments

Using Extended Events Live Data With Azure

Azure, SQL Server, You Can't Do That In Profiler
In my last post I showed some shortcomings of Extended Events, however, it is possible to use Live Data with Azure. Let's explore exactly how that works. To get started, you'll need to follow the directions here to get set up with Azure Storage as the output target of your Extended Events session within your Azure SQL Database. There is a little bit of prep work, but it's all laid out in Microsoft's document. I found the Powershell to be a bit sketchy, but it shows you what's needed. The T-SQL just works. Live Data With Azure Once you've created an Extended Events Session that is output to Azure Storage, you've done most of the work. The trick is really simple. Get the Azure Storage account set up with a…
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16Nov 2020 by Grant Fritchey No Comments

The Learning Curve for DevOps

AWS, Azure, DevOps
If you're attempting to implement automation in and around your deployments, you're going to find there is quite a steep learning curve for DevOps and DevOps-style implementations. Since adopting a DevOps-style release cycle does, at least in theory, speed your ability to deliver better code safely, why would it be hard? Why is there a Learning Curve for DevOps? I recently did a presentation on a simple Continuous Integration process. Here are the tools that I used in the demo: Local Git repositoryVS CodeAzure Data StudioAWS CodeCommitAWS CodePipelineAWS CodeBuildAWS RDS PostgreSQLShell commandsYAMLDockerFlyway Also, I regularly present using Azure DevOps Pipelines too. Here's the list of tools that might be in a given demo: Local Git RepositoryVS CodeAzure Data StudioAzure Git RepositoryAzure DevOps PipelineAzure DevOps AgentRedgate DeployAzure SQL DatabaseYAMLPowerShelltSQLt While there…
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17Aug 2020 by Grant Fritchey 1 Comment

Azure SQL Database Automatic Tuning

Azure
I really like the automatic tuning aspect of Azure SQL Database. This post is not a full explanation and demo. Instead, I want to point out a small point of management in the portal and your ability to configure Automatic Tuning. Configure Automatic Tuning You can configure Automatic Tuning within the Azure portal one of two ways. First, you can configure it with your server: You can inherit the values from Azure, or manually define them. Regardless of your choice, if you look at the server, you can see that your automatic tuning is configured: This is true on the server, whether I make changes to the configuration, or, just take the defaults as I did. My confusion is on the databases. Let's look at one: If we look at…
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27Feb 2020 by Grant Fritchey 8 Comments

Are You Still Worried About Data in the Cloud?

Azure
There really are technology stacks and business use cases that should never be moved off of big iron. Then there's the rest of us. Chances are very high if you're not already starting to move your data storage to the cloud, it's being discussed right now in your business. I helped put together a new report on the current state of databases that are not under your direct control. It's free to download and available over at Dzone. If you haven't made the move yet, or are just getting started on becoming one of the millions of companies that will be hybrid, part cloud-based, part local, then I strongly recommend you check it out. The trends are clear. Smart people are taking advantage of what services like Azure, AWS and…
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08Apr 2019 by Grant Fritchey 5 Comments

Learning Jupyter Notebooks

Azure, Professional Development, Tools
I'm starting the process of learning how to use Jupyter Notebooks. Notebooks are documents that contain live code, commentary, results, pictures and more. Jupyter Notebooks are used for presentations, documentation, run books, troubleshooting guides and lots more. Their support within Azure Data Studio opens up lots of opportunities. Azure Data Studio If you're interested in learning about notebooks yourself, or, as I publish the notebooks that I put together and you want to consume them, you need to have a mechanism. There are any number of third party or open source solutions to read notebooks. However, since I'm focused primarily on the Microsoft data platform, I'm using Azure Data Studio to do this work. I've written in the past about using Azure Data Studio (ADS). I also have a bunch…
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04Mar 2019 by Grant Fritchey 4 Comments

system_health Extended Events in Azure SQL Database

Azure, SQL Server
The system_health Extended Events session is incredibly useful. Further, it's running, by default, in every server you have under management that is 2008 or greater. Things are not the same in Azure though. system_health in Azure SQL Database If you look at the documentation for system_health, it shows that it's applicable to Azure SQL Database. However, if you try to run the example query, it won't work. This is because the implementation of Extended Events inside Azure SQL Database is a little different. Instead, you need to use the Azure SQL Database equivalent system views to create the same query like this: SELECT CAST(dxdst.target_data AS XML) FROM sys.dm_xe_database_session_targets AS dxdst JOIN sys.dm_xe_database_sessions AS dxds ON dxds.address = dxdst.event_session_address WHERE dxds.name = 'system_health'; Now, running this in Azure, prepare to be…
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