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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
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.
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?
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.
5 lessons learnt from using Power Automate
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.
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
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.
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.
A simple toolkit for IT budgeting and planning
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 Optimisation Tools for Power BI
Optimise Power BI report performance with analyzer tools. Discover essential techniques for efficient report development in this blog post.
C# Lambda Discards
C# has gradually been adding support for discards. This article explores how this evolution has led to some surprises.
Insight Discovery (part 1) – why do data projects often fail?
Discover a unique, action-oriented approach to data projects for maximum impact. Learn how to synergize with platforms like Azure Synapse for fast delivery.
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