A Fine Slice Of SQL Server
Osheen MacOscar creates a sparkline or three:
This is the second blog in a series about the {sparkline} R package for inline data visualisations. You can read the first one here. In this post I will be demonstrating how you can include sparklines inside HTML tables.
Read on for the instructions. Osheen implements box plots, bar charts, line charts, and even bullet charts in an HTML table.
Comments closedSteve Jones tries different methods:
We published an article recently at SQL Server Central on Tally Tables in Fabric from John Miner. In it he showed how this can be efficient. A day after he published it, he sent me an addendum to note that GENERATE_SERIES was available in Fabric and that could be used.
I ran a few tests last week, but as I read the comments on John’s article, I realized that there were 3 ways of setting up these tally tables that I’ve used and thought I’d summarize them a bit in this post. There’s a fourth way, but I haven’t used it.
My take on this is, it doesn’t really matter which technique you choose, especially if you’re using it to build a permanent tally table that you can later query from any app. In that case, it’s a one-time cost. If you’re building these on the fly often enough that the performance matters, then my first question, instead of “Which of these is fastest?” is, “Why can’t I just have a permanent tally table?”
Comments closedJohn Kerski notes a pain point:
“I hate to tell you this, but it’s not available for us yet.” This is an all-too-common phrase I find myself saying to customers in U.S. Sovereign Cloud tenants who come across new features in search engine results only to find they’re not available in our regions. For those unfamiliar, U.S. Sovereign Cloud regions allow U.S. government, public sector, and other highly regulated entities to use the cloud with the security, compliance, and data sovereignty required by their organizations.
If you do a search for “sovereign cloud,” you will find that most of the cloud providers have their own Sovereign Cloud if you are interested in the concept for any other cloud services you need to use. In this article, I am going to look specifically at how you extend this support to Power BI, and make a few suggestions for how I think it could work better.
I call John’s pains and raise him “We can only use Power BI Report Server here.”
2 CommentsKenneth Omorodion explains why you sometimes need to bust out the VACUUM:
Efficient data management in Microsoft Fabric is a necessity in maintaining large-scale partitioned Delta tables. In dynamic datasets with frequently generated new files, the need to ensure the removal of stale files becomes very important to prevent storage bloating. In settings with partitioned tables, where data is in a hierarchical structure (e.g., by year, month, day), this can be particularly challenging, and files must be cleaned without disrupting active data. Learn how the VACUUM operation can help optimize delta tables.
Read on to learn more.
Comments closedPatrick Gruenauer checks out a new module:
The new PowerShell Entra ID Module is a powerful tool designed to streamline the management and automation of Microsoft Entra resources. This module is part of the Microsoft Graph PowerShell SDK and offers a range of functionalities to enhance administrative tasks.
One of the key benefits of the Microsoft Entra PowerShell module is its focus on usability. Unlike MS Graph, the module is more user-friendly to operate. Let’s dive in.
Click through for a demonstration of what you can do with it.
Comments closedMike Robbins performs some filtering:
PowerShell 3.0 introduced several notable improvements to its cmdlet library, with one of the most useful features in this release being the simplified syntax for the
Where-Objectcmdlet. This enhancement made filtering objects more efficient and user-friendly by introducing Property and Value parameters and a switch parameter for every comparison operator. This article explores how these changes work, their usefulness, and how to leverage them in your scripts.
Read on for a bit of history, as well as the options available to you now.
Comments closedIn this video, I demonstrate how order of operations matters when it comes to casting or converting a data type and performing an aggregation on that result. I’ll use the specific example of converting binary data to a number and show where the fast version might lead you astray.
This is something pretty easy to miss, especially when the code returns fast enough. But over a large enough number of calls, these sorts of things add up, as I note in the video.
Comments closedKathi Kellenberger takes action:
Shortly before Microsoft acquired GitHub in late 2018, GitHub Actions was released. GitHub Actions is a powerful CI/CD platform that can be used to automate code integration and deployment.
This article series will teach you what you need to know to take advantage of GitHub Actions, especially for deploying database code.
Read on for the first article in the series, which acts as a primer on GitHub Actions.
Comments closedIn this post I want to show how you can operationalize fabric-cicd to work with Microsoft Fabric and Azure DevOps. Which I exclusively revealed at Power BI Gebruikersdag over the weekend.
Just so that everybody is aware, fabric-cicd is a Python library that allows you to perform CI/CD of various Microsoft Fabric items into Microsoft Fabric workspaces. At this moment in time there is a limited number of supported item types. However, that list is increasing.
Click through to see what Kevin did and how it worked out.
Comments closedUmair Shahid explains when hash and range partitioning work best:
I have always been a fan of RANGE partitioning using a date/time value in PostgreSQL. This isn’t always possible, however, and I recently came across a scenario where a table had grown large enough that it had to be partitioned, and the only reasonable key to use was a UUID styled identifier.
The goal of this post is to highlight when and why hashing your data across partitions in PostgreSQL might be a better approach.
Click through to learn more about each style of partitioning, as well as when hash partitioning may actually be the better fit.
Comments closed