Blog

The third 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.

There is a broad spectrum of costs that a digital asset will accrue over its lifetime, which will typically span many years.

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.

Optimise Power BI report performance with analyzer tools. Discover essential techniques for efficient report development in this blog post.

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.

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

Automate Excel tasks with Office Scripts & Power Automate. Get an overview and explore a practical example in this post.

Explore Microsoft Dependency Injection container's 3 lifetimes: transient, singleton, scoped. Learn their behaviors & importance in app dependencies.

Fix broken dev loop with containerized apps on Azure CLI for Windows. Learn a workaround to avoid using outdated Azure CLI versions.

In this blog we demonstrate how the Gherkin specification can be adapted to enable BDD to be applied to data engineering use cases.

The "Shared Metadata Model" is a powerful feature within Synapse Analytics that synchronizes Spark database objects with SQL Serverless. This article describes how to give non-admin users access to these synchronized objects in a least-privileged manner.

If you're interested in the Distributed Application Runtime (Dapr) and how it can simplify migrating existing workloads to use cloud platform services, then this series might be for you. In this post, we continue modifying the excellent Dapr Traffic Control sample application by swapping the MQTT-based messaging with Azure Storage Queues. We will also look at how you can use the Dapr programming model as an alternative to cloud-provider SDKs.

A lesser known feature of Azure Synapse is the "Shared Metadata Model". Synapse has the capability to automatically synchronize tables created via Synapse Spark with objects you can query via the usual SQL Serverless endpoint, without any additional configuration. This article brings attention to this capability, highlighting the benefits and tradeoffs vs rolling your own SQL Serverless VIEWs.

This blog post explores how the CALCULATE function in DAX performs context transition.