This post contains a recap of my research into the subject and an exploration of Sir Tim’s so-called new Internet – a technology called Solid. We’ll start by exploring what Solid is, and then we’ll talk about its purposes and how to use it. It’s a pretty cool technology!
So, let’s dive in. What exactly has Sir Tim Berners-Lee created?
On my last two projects, I decided to give Azure Data Studio a try to see how it measured up to SSMS. Azure Data Studio gives you a more modern editor experience. It’s comparable to Visual Studio Code with IntelliSense, source control with GIT, and an integrated terminal for Powershell or SQLMD commands.
Azure Data Studio was built with a data platform user in mind, and its easy editing and export options, built-in charting of query results, and customizable dashboards make it an incredibly valuable tool.
In this post, I’ll go over some of the basics of how to use Azure Data Studio.
Every long-term project will outlive at least some of the technologies it was originally built with. For example, a project I have been involved with recently ran into this situation. The app is hosted on Heroku, and over the years, the available MongoDB add-ons have changed and dwindled until now, there is only one.
Several migrations between MongoDB add-ons have already happened because of shutdowns. So, it was decided that rather than migrating to the last one still in existence, the project would switch to using PostgreSQL, which is supported directly by the Heroku team.
I was recently tasked with summarizing the data of a several-million-row table, and the task proved to be a bit grueling at first. Eventually, I found a way to summarize the large dataset with Spring Batch, but not without a wrong turn or two at first. In this post, I’ll walk you through my process and how I overcame this …
When it comes to brewing, one of the most critical considerations is sanitization. The same fact can be said for development. In brewing you can introduce unintended flavors, create a lesser end product, or completely ruin your hard work. With development, you can introduce inaccuracies or bad data, errors can be caused or exposed to attack, and security holes can be created.
With best practices in sanitization, we can all enjoy better applications and better beer. In this blog, I discuss the importance of data sanitization in development (with tips for success), with parallels to sanitization in brewing.
