A Fine Slice Of SQL Server
Julia Liuson talks about big licensing news:
Today, Redis, a leading provider of in-memory data store solutions, announced a transition in its open-source licensing approach. Redis is moving away from the BSD 3-Clause License to a dual-license model, offering developers the choice between the Redis Source Available License version 2 (RSALv2) or the Server-Side Public License version 1 (SSPLv1).
Read on to learn what this means for Azure Cache for Redis.
Comments closedJonathan Katz share some thoughts:
(Disclosure: I’m on the PostgreSQL Core Team, but what’s written in this post are my personal views and not official project statements…unless I link to something that’s an official project statement 😉
I was very sad to learn today that the Redis project will no longer be released under an open source license. Sad for two reasons: as a longtime Redis user and pretty early adopter, and as an open source contributor. I’ll preface that I’m empathetic to the challenges of building businesses around open source, having been on multiple sides of this equation. I’m also cognizant of the downstream effects of these changes that can completely flip how a user adopts and uses a piece of technology.
Read on to learn about why Jonathan believes (with good reason) Postgres’s license is a lot more sticky.
Comments closedSteven Sanderson is about to cut somebody:
In the realm of data analysis, understanding how to effectively segment your data is paramount. Whether you’re dealing with age groups, income brackets, or any other continuous variable, the ability to categorize your data can provide invaluable insights. In R, the
cut()function is a powerful tool for precisely this purpose. In this guide, we’ll explore how to harness the full potential ofcut()to slice and dice your data with ease.
Read on for examples of how to use the cut() function.
Rod Edwards has a process for that:
Nobody likes to do the same monontonous task over and over again. Well, saying that, maybe some out there do in order to look and feel busy…but I don’t, as I nearly always have something else more pressing or fun or interesting to do. By automating those repeatable tasks, it reduces boredom, chance of errors, and stress if you’re already a busy bunny.
This is where Automation comes into play, and in Azure we have a few options. This post focuses in Azure automation.
Read on to see how Azure Automation works and how to build a Powershell runbook in it.
Comments closedWhen you’re visualizing categorical data, sorting the bars in your chart is usually a straightforward task. Or is it?
In most cases, you probably take the category with the largest value and stick that in the prime spot, the leftmost slot on the horizontal axis. Then, you proceed from left to right in descending order of value. Easy peasy.
But it’s not always that simple, as Mike points out.
Comments closedEdwin Sanchez shows a variety of methods to calculate percentages of the whole in T-SQL:
Calculating percentages in SQL Server is like slicing a pie. You need to know the total size (the denominator) and the size of the slice you want (the numerator). To get a percentage, you divide the slice size by the total size and multiply by 100.
Read on for a variety of methods to calculate this. I wouldn’t use all of the methods myself, as I have certain predilections against subqueries in the SELECT clause, but they do get the job done.
Dimitry Furman has a new announcement:
Reliable, in-depth, and at-scale monitoring of database performance has been a long-standing top priority for SQL customers. Today, we are pleased to announce the public preview of database watcher for Azure SQL, a managed database monitoring solution to help our customers use Azure SQL reliably and efficiently.
Click through to see what it offers and what’s on the roadmap for this product.
Comments closedAravind Mahadevan shares information on a new bit of functionality:
We’re excited to announce that Extensible Key Management (EKM) using Azure Key Vault in SQL Server on Linux is now generally available from SQL Server 2022 CU12 onwards, which allows you to manage encryption keys outside of SQL Server using Azure Key Vaults.
In this blog post, we’ll explore how to leverage Azure Key Vault as an EKM provider for SQL Server on Linux.
Read on to see how to set this up.
Comments closedSometimes when you do GROUP BY, the order of the columns does matter. For example, these two SELECT queries produce different results:
Their actual execution plans are wildly different:
Click through to learn when the ordering in a GROUP BY clause matters and when it doesn’t.
Steven Sanderson repeats the punch line a few times:
Are you working with a dataset where you need to duplicate certain rows multiple times? Perhaps you want to create synthetic data by replicating existing observations, or you need to handle imbalanced data by oversampling minority classes. Whatever the reason, replicating rows in a data frame is a handy skill to have in your R programming toolkit.
In this post, we’ll explore how to replicate rows in a data frame using base R functions. We’ll cover replicating each row the same number of times, as well as replicating rows a different number of times based on a specified pattern.
Click through to replicate data without copy-paste.
Comments closed