Blog

Explore Azure Synapse's SQL Serverless for on-demand data lake queries, its benefits, and challenges in managing schemas and maintaining data sync.

During our last few months of recruitment, one of the main questions that we were asked during this process is 'what does your average day look like'. The extremely varied work at endjin made this quite a tricky question to answer, so we expanded the question to be slightly broader - 'what does your average week look like?'

Endjin uses user stories, BDD specs, and a ubiquitous language to bridge the communication gap between stakeholders and tech teams.

Deploy a VueJS app on Azure Static Web Apps using a YAML-defined Azure DevOps pipeline with Microsoft's hosting solution for static web applications.

Carmel has recently released an exam tips course on preparing for the AZ-204 exam: Developing solutions for Microsoft Azure! The course gives an overview of the syllabus, some tips on what you'll need to know for each section, and some examples of common question types.

Thinking of data as the new soil is useful in highlighting the key elements that enable a successful data and analytics initiative.

Learn how code generation can build on System.Text.Json and JSON Schema to create a great experience for C# developers.

TL;DR - Using Azure Synapse SQL Serverless, you can query Azure Data Lake and populate Power BI reports across multiple workspaces.

Explore data with Azure Synapse's interactive Spark notebooks, integrated with Pipelines & monitoring tools. Learn how to add tests for business rule validation.

Power BI deployment pipelines manage collaboration, change management, and testing of reports, enabling DevOps for analytics solutions.

Some of my thoughts inspired whilst helping out on the farm over the weekend. What is the future of work given the increasing presence of machines in our day to day lives? In which situations can AI deliver greatest value? How can we ease the stress of digital transformation on people who are impacted by it?

The first in a series of posts talking about how to best work with configuration in Azure Functions

Discover Azure Data Factory's null-safe operator for referencing activity outputs that may not always exist. Learn to use it effectively.

A rundown of how to trigger an Azure Synapse pipeline run from C# code.

Summary of key themes from the Doing Data Together conference hosted virtually by The Scotsman newspaper and Edinburgh University in November 2020. The conference agenda was pivoted to focus on the use of data to help tackle the Covid-19 pandemic. It provided a fascinating insight into the lessons learned.

Get started with Mattermost on Azure using the Mattermost on AKS quickstart from the Azure CNAB Quickstart Library.

Modern analytics requires a multi-faceted approach, which can cause integration headaches. Azure Synapse's Swiss army knife approach can remove a lot of friction.

Explore the proxy pattern in this blog post, a design pattern used for controlling access to underlying objects and remote server communication.

Learn how to import .NET packages from NuGet into PowerShell and utilize their classes/methods, while avoiding PowerShell NuGet provider pitfalls.

Learn to automate Power BI data source credential updates using RSA-OAEP encryption and .NET SDK helper classes for on-premises data sources.

C# 9 enhances pattern matching capabilities. Ian Griffiths advises caution to avoid complexity.

CodeOps enables you to layer standards, automation, and governance to your source control repositories, decreasing manual effort and increasing productivity.

This blog is part of a series around design patterns. This post focuses on the facade pattern. The facade pattern provides an interface into a complex system, in order to simplify access to the functionality.

Data insights are useless, and even dangerous (as we've seen recently at Public Health England) if they can't be trusted. So, the need to validate business rules and security boundaries within a data solution is critical. This post argues that if you're doing anything serious with data, then you should be taking this seriously.

This post describes the reasons for choosing specific & immutable dependency versions in your software.