Blog

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

This series focuses on maximizing data projects' impact via an iterative, insight discovery process, and synergy with cloud platforms like Azure Synapse.

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

Explore how to share a function from a PowerShell module as a standalone script, without maintaining two code versions.

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

Discover a unique, action-oriented approach to data projects for maximum impact. Learn how to synergize with platforms like Azure Synapse for fast 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.

Discover a unique, action-oriented approach to data projects for maximum impact. Learn how to synergize with platforms like Azure Synapse for fast 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.

Learn how to grant non-admin users access to Spark synchronized objects with SQL Serverless in Synapse Analytics using the Shared Metadata Model.

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.

Explore Azure Synapse's 'Shared Metadata Model' feature. Learn how it syncs Spark tables with SQL Serverless, its benefits, and tradeoffs.

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

The stack and heap are central components of memory management in C# programs. This post aims to introduce the topic, with a number of worked examples.

Explore the impact of Excel's numeric precision rules on identifiers and learn about infamous data loss incidents caused by misuse in this post.