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Retrospecting on my first year at endjin
Liam joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post he looks back on his fist year and uses the post to introspect and look ahead to his second year.
In Defence of Squash Commits
Encapsulation is a powerful tool. Squash commits provide a way to encapsulate Git commit history.
An Overview of the Corvus.Extensions Library
Corvus.Extensions is an open source repository that provides a collection of useful helper extension methods to .NET types. This post provides a spotlight on the repository.
Adventures in Dapr: Episode 4 - Containerising with Visual Studio
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 working with the excellent Dapr Traffic Control sample application to adopt a containerised dev inner-loop using Visual Studio.
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
Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics
How to create a semantic model using Synapse Analytics Database Templates
In this second blog in the series, we put the newly released Azure Synapse Analytics Database Templates into action by exploring the different methods that are available to create a semantic model.
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?
Lake Databases in Azure Synapse Analytics are just great. If you're starting on a new Synapse Analytics project, chances are you can benefit from Lake Databases. Whether you need to analyze business data from Dataverse, share your Spark tables of data with SQL Serverless, or use Database Templates to visually design and define your standardized/semantic analytical data model, there's a use-case for you. In this blog we'll explore what Lake Databases are, why they're useful, and what you need to watch-out for when using them.
EVALUATEANDLOG in DAX
This blog post explores an exciting, hidden new feature in DAX - the EVALUATEANDLOG function. EVALUATEANDLOG brings debugging capability to Power BI.