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The fourth post migrating an app from Azure Functions to Azure Container Apps we examine the challenges around authentication and CORS

Explore Lake Databases in Azure Synapse Analytics: analyze Dataverse data, share Spark tables, and design models with Database Templates.

DAX has never had real debugging capability until EVALUATEANDLOG. This hidden function prints intermediate values from any DAX expression, letting you see exactly how your measures are evaluated.

Capture actionable insights through workshops, build a delivery backlog, and learn why cloud analytics success ultimately comes down to people, not technology.

Total cost of ownership can be used a various stages in the lifecycle of a digital asset to support data driven decisions.

Database Templates let you define structure over your data lake so it behaves more like a relational system. In this series we test whether they can serve as a useful contract between upstream data engineers and downstream consumers.

Power Automate flows get unwieldy fast: default step names obscure intent, repeated logic piles up, and single-environment setups block proper ALM. Five practical lessons for keeping flows maintainable.

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

Traditional bottom-up data modelling leads to platforms that are hard to evolve and don't meet business needs. Data pipelines let you deliver thin, focused slices of value from source to insight.

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

Define actionable insights by starting with a specific action, then identifying the questions, evidence and feedback loops that turn data into business value.

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!

Successful data projects start by forgetting about the data. Begin with business goals and the decisions that drive them, and let data follow the insight.

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.

Why traditional bottom-up data warehouse projects so often deliver compromised platforms — and how a top-down, action-oriented approach changes the outcome.

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.