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Bye bye Azure Functions, Hello Azure Container Apps: Migration of the existing test environment
The fifth in a series of posts talking about how and why we migrated an application from Azure Functions to Azure Container Apps
Big Data LDN: highlights and how to survive your first data conference
Here are some of the highlights form this year's Big Data LDN conference.
High Performance UriTemplate resolution with low-allocation C#
Learn how to use high-performance code constructs like ReadOnlySpan<T> to parse and create UriTemplates for C# developers.
Customizing Lake Databases in Azure Synapse Analytics
Explore Custom Objects in Lake Databases for user-friendly column names, calculated columns, and pre-defined queries in Azure Synapse Analytics.
How to create a semantic model using Synapse Analytics Database Templates
Explore Azure Synapse Analytics Database Templates and learn to create semantic models in this 2nd blog of the series.
My first year as an Apprentice Engineer
Eli joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post she reflects on her first year.
Bye bye Azure Functions, Hello Azure Container Apps: Authentication and CORS issues
The fourth post migrating an app from Azure Functions to Azure Container Apps we examine the challenges around authentication and CORS
What is a Lake Database in Azure Synapse Analytics?
Explore Lake Databases in Azure Synapse Analytics: analyze Dataverse data, share Spark tables, and design models with Database Templates.
EVALUATEANDLOG in DAX
This blog post explores an exciting, hidden new feature in DAX - the EVALUATEANDLOG function. EVALUATEANDLOG brings debugging capability to Power BI.
Insight Discovery (part 6) – How to define business requirements for a successful cloud data & analytics project
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.
Putting total cost of ownership (TCO) into action
Total cost of ownership can be used a various stages in the lifecycle of a digital asset to support data driven decisions.
What are Synapse Analytics Database Templates and why should you use them?
Explore Azure Synapse Analytics Database Templates and learn to leverage them in modern data pipelines.
5 lessons learnt from using Power Automate
In this post, we look at 5 lessons that we learnt from a recently completed Power Automate project that helped us to get the best out of the platform.
Bye bye Azure Functions, Hello Azure Container Apps: Build and deployment pipelines, and our first big problem
The third in a series of posts talking about how and why we migrated an application from Azure Functions to Azure Container Apps
Insight Discovery (part 5) – Deliver insights incrementally with data pipelines
Discover a unique, action-oriented approach to data projects for maximum impact. Learn how to prioritize requirements and leverage cloud analytics platforms.
How to calculate the total cost of ownership (TCO)
There is a broad spectrum of costs that a digital asset will accrue over its lifetime, which will typically span many years.
Insight Discovery (part 4) – Data projects should have a backlog
This series focuses on maximizing data projects' impact via an iterative, insight discovery process, and synergy with cloud platforms like Azure Synapse.
What is the total cost of ownership (TCO) and why is it important?
Understanding the total cost of ownership is key to making informed decisions about technology investments.
Continuous Integration with GitHub Actions
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 Scripts to the PowerShell Gallery
Explore how to share a function from a PowerShell module as a standalone script, without maintaining two code versions.
Bye bye Azure Functions, Hello Azure Container Apps: Migrating from Azure Functions to ASP.NET Core
The second in a series of posts talking about how and why we migrated an application from Azure Functions to Azure Container Apps
Insight Discovery (part 3) – Defining Actionable Insights
Discover a unique, action-oriented approach to data projects for maximum impact. Learn how to synergize with platforms like Azure Synapse for fast delivery.
How to enable data teams with the design assets required for impactful data storytelling in Power BI
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.
5 tips to pass the PL-300 exam: Microsoft Power BI Data Analyst
I recently passed the PL-300 - Power BI Data Analyst exam. Here are some tips to prepare for it that I found useful!
Insight Discovery (part 2) – successful data projects start by forgetting about the data
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.