Blog

Many data projects fail to deliver the impact they should for a simple reason – they focus on the data. This series of posts explains a different way of thinking that will set up your data & analytics projects for success. Using an iterative, action-oriented, insight discovery process, it demonstrates tools and techniques that will help you to identify, define and prioritize requirements in your own projects so that they deliver maximum value. It also explores the synergy with modern cloud analytics platforms like Azure Synapse, explaining how the process and the architecture actively support each other for fast, impactful delivery.

Understanding the total cost of ownership is key to making informed decisions about technology investments.

This post gives an overview of Continuous Integrations and shows how you can implement it with GitHub Actions, with an accompanying example Python project

Publishing individual scripts to the PowerShell Gallery can be an effective way to share pervasive functionality without the overhead of maintaining a full-blown PowerShell module. In this post we'll look at how we can take a function that is already published as part of a module and also make it available as a standalone script, without having to maintain two versions of the code.

The second in a series of posts talking about how and why we migrated an application from Azure Functions to Azure Container Apps

Many data projects fail to deliver the impact they should for a simple reason – they focus on the data. This series of posts explains a different way of thinking that will set up your data & analytics projects for success. Using an iterative, action-oriented, insight discovery process, it demonstrates tools and techniques that will help you to identify, define and prioritize requirements in your own projects so that they deliver maximum value. It also explores the synergy with modern cloud analytics platforms like Azure Synapse, explaining how the process and the architecture actively support each other for fast, impactful delivery.

In this post we will talk through how to expand on a data team's creative skillset, without access to specialist photo editing software such as Photoshop or Illustrator.

I recently passed the PL-300 - Power BI Data Analyst exam. Here are some tips to prepare for it that I found useful!

Many data projects fail to deliver the impact they should for a simple reason – they focus on the data. This series of posts explains a different way of thinking that will set up your data & analytics projects for success. Using an iterative, action-oriented, insight discovery process, it demonstrates tools and techniques that will help you to identify, define and prioritize requirements in your own projects so that they deliver maximum value. It also explores the synergy with modern cloud analytics platforms like Azure Synapse, explaining how the process and the architecture actively support each other for fast, impactful delivery.

We describe how to create a high level view of your digital assets, where everything is measured equally and actionable insights can be generated that allow you to optimise your budget and build a roadmap focused on business value.

Performance tuning is an important aspect of Power BI report development. This blog post highlights useful analyzer tools you can utilise to optimise the performance of your Power BI reports.

C# has gradually been adding support for discards. This article explores how this evolution has led to some surprises.

Many data projects fail to deliver the impact they should for a simple reason – they focus on the data. This series of posts explains a different way of thinking that will set up your data & analytics projects for success. Using an iterative, action-oriented, insight discovery process, it demonstrates tools and techniques that will help you to identify, define and prioritize requirements in your own projects so that they deliver maximum value. It also explores the synergy with modern cloud analytics platforms like Azure Synapse, explaining how the process and the architecture actively support each other for fast, impactful delivery.