Blog

Both of endjin's apprentices won in their categories of Apprentice Engineer and Cloud Apprentice at the Rising Star Awards.

GitHub Actions is GitHub's new CI/CD platform. It is comparable with Azure Pipelines, which forms part of the Azure DevOps suite. In this post, Mike Larah looks at the similarities and differences in the high-level concepts and terminology between the two platforms.

Explore Azure Durable Functions as an alternative to long-running operations, overcoming HTTP Triggers' 230s limit in Azure Load Balancer.

Remote working allows us to work from anywhere we want. This brings a huge amount of flexibility in freedom, however we do need the help of a working laptop! When Carmel's laptop gave in just before a trip, she used Azure DevTestLabs to allow her to continue to work using a 10 year old Mac that probably couldn't wouldn't have been up to the task alone...

A guide to enabling SSH on Raspberry Pi, accessing it via Windows 10, and setting up passwordless SSH access.

Explore techniques for high-performance, low-allocation code in Azure Functions using C#, including data streaming, list preallocation, and Span<T>.

Running an Azure Function in a Docker container on Raspberry Pi 4 with this step-by-step guide and ready-to-use code for your projects.

Learn to import/export notebooks in Databricks workspaces manually or programmatically, and transfer content between workspaces efficiently.

In this post we show a smooth entry animation for D3.js donut (or pie) charts, using a combination of a sweep and a zoom to give a corkscrew-like effect.

Machine learning often seems like a black box. This post walks through what's actually happening under the covers, in an attempt to de-mystify the process!Neural networks are built up of neurons. In a shallow neural network we have an input layer, a "hidden" layer of neurons, and an output layer. For deep learning, there is simply more hidden layers which allows for combining neuron's inputs and outputs to build up a more detailed picture.If you have an interest in Machine Learning and what is really happening, definitely give this a read (WARNING: Some algebra ahead...)!

Explore solutions for JsonDecodeError in Databricks CLI & Clusters. Learn how pre-built CLIs/SDKs simplify requests & authentication in REST APIs.

This blog is part of a series around design patterns. This post focuses on the composite pattern. The composite pattern is often used in situations where you want to me able to treat groups and individuals in the same way during processing.

Explore how to build secure solutions on Azure using Azure Functions and Managed Identities, eliminating the need for storing credentials.

Traverse the builder pattern in this design patterns series, simplifying complex object creation and separating construction from usage.

Explore using AzureAD with Az module in PowerShell Core, as Az may not fully replace AzureAD. Learn to utilize both for optimal functionality.

Here is a blog written by our apprentice Carmel after her second year of the apprenticeship. We think it demonstrates the huge variety of things we get to work on here at endjin, and highlights the best of the blogs that Carmel produced through during the year - of which there were a lot!If you think an apprenticeship with us is something which might interest you - send a CV through to hello@endjin.com!

Investigate the differences between factory method and abstract factory design patterns in this first blog of our series.

Automate Power BI workspaces creation & security using PowerShell & Azure DevOps pipelines in a wider DevOps strategy with Azure data platform services.

Explore data analysis & ETL with Databricks Notebooks on Azure. Utilize Spark's unified analytics engine for big data & ML, and integrate with ADF pipelines.

Snowflake is a cloud native data warehouse platform, that enabled data engineering, data science, data lakes, data sharing and data warehousing. Endjin are very excited to announce our partnership.

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Software architecture and Agile project planning are often seen to be at odds. However, here at endjin we think that the way in which they intersect solves a lot of the common issues surrounding architecture. The key to successful architecture is constantly keeping the drivers in mind and having a tight communication loop as the architecture is implemented. These concepts are ones which are key to agile project management, and the combination of these two disciplines can be extremely powerful and successful when applied correctly.

Creating a architecture in an iterative and incremental solution delivery is challenging. I've evolved an approach akin to Painting By Numbers, and am inspired by a quote from the artist and film maker Dave McKean.

Mapping Data Flows are a relatively new feature of ADF. They allow you to visually build up complex data transformation sequences. This can aid in the streamlining of data manipulation and ETL processes, without the need to write any code! This post gives a brief introduction to the technology, and what this could enable!