Blog

Explore Azure Analysis Services for scalable analytics. Control costs via automation with Powershell & Azure DevOps in multi-environment setups.

At endjin, our approach focuses on using scientific experimental method to support the creation of fully proved and tested decision making, and the use of scientific research to support our work. This post runs through how we applied that process to creation a pipeline to detect vessel proximity.This is an example which is based around the project we recently worked on with OceanMind. In this project we helped them to build a serverless architecture which could detect vessel proximity in close to real time. The vessel proximity events we detected were then fed into machine learning algorithms in order to detect illegal fishing! Carmel also runs through some of the actual calculations we used to detect proximity, how we used data projections to efficiently process large quantities of incoming data, and the use of Durable Functions to orchestrate the processing.

Explore Behavior Driven Development using SpecFlow. Learn to create complex test data objects in Gherkin feature files with Corvus.NET project.

Explore C# 8.0's nullable references feature, as Ian discusses its impact on default nullability assumptions in this informative post.

This is the fourth blog in a series about DAX and Power BI. We have so far covered filter and row contexts, and the difference between calculated columns and measures. This post focuses on aggregators. We cover the limitations of the classic aggregators, and demonstrate the power of the iterative versions. We also highlight some of the less intuitive features around how these functions interact with both filter and row contexts.

Discover how to programmatically retrieve Power BI Dataflow refresh history for automated operations, enabling efficient dataset refresh management.

Learn how to update Azure Analysis Services model schemas in custom .NET apps using AMO SDK. Develop rich end-user features for run-time, user-driven \"what if\" analysis.

See how to manage consistent default configuration across all your .NET projects by using NuGet build assets.

Wardley Maps are a fantastic tool to help provide situational awareness, in order to help you make better decisions. We use Wardley Maps to help our customers think about the various benefits and trade-offs that can be made when migrating to the Cloud. In this blog post, Jess Panni demonstrates how we used Wardley Maps to plan the migration of OceanMind to Microsoft Azure, and how the maps highlighted where the core value of their platform was, and how PaaS and Serverless services offered the most value for money for the organisation.

This is the third blog in a series about learning DAX and Power BI. The first two blogs focused on filter and row contexts. We are now moving on to talk about calculated columns and measures. These are the main features used to support the display of complex visuals. They allow you to combine columns, aggregate values, reformat data, and much more. The difference between these features can get a bit confusing so we've attempted to make that clearer using some concrete examples!

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. Even now, several years after their introduction, the testing story for Functions is not hugely well defined. In the final post in this series, we show how to ensure specs written using Corvus.Testing can run as part of your build pipeline.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. Even now, several years after their introduction, the testing story for Functions is not hugely well defined. In the fourth of this series of posts, we look at how configuration can be supplied from your tests to the functions apps being tested.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. Even now, several years after their introduction, the testing story for Functions is not hugely well defined. In the third of a series of posts, we look at using classes in the Corvus.Testing library to run functions apps via scenario and feature hooks.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. Even now, several years after their introduction, the testing story for Functions is not hugely well defined. In the second of a series of posts, we look at using step bindings provided by the Corvus.Testing library to run functions apps as part of your SpecFlow scenarios.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. Even now, several years after their introduction, the testing story for Functions is not hugely well defined. In the first of a series of posts, we look at some different approaches to testing your functions apps, and introduce the Corvus.Testing library.

Utilize our Wardley Mapping Templates for PowerPoint & Visio; and enhance your situational awareness and technical decisions with this technique.

Tour our OceanMind project using Azure Functions for real-time marine telemetry processing. Learn optimization techniques for serverless environments.

Explore C# 7.2's ref structs, use in high-performance scenarios, their constraints, and techniques for overcoming challenges in unit testing the Ais.Net parser.

The application of scientific experimental process to software development leads to the development of fully-validated solutions. This approach provides you with confidence in designs and means that you can quickly identify ideas which are not worth pursuing. At endjin we use the ideas of hypotheses and experimentation when designing any solution and this gives us full confidence in the designs we produce. In this post we outline the steps and advantages of using this approach.

Here is the second blog in a series around learning DAX and Power BI. This post focuses on row contexts, which are used when iterating over the rows of a table when, for example, evaluating a calculated column. Row contexts along with filter contexts underpin the basis of the DAX language. Once you understand this underlying theory it is purely a case of learning the syntax for the different operations which are built on top of it.

As part of my series on guidance for CTOs, I discuss using the Office of the CTO (OCTO) approach to management, its strengths and limitations.

Incorporate Azure Analysis Services in custom apps, going beyond read-only queries. This post explains using REST API in .NET apps for async model refreshes, ensuring efficient updates.

As part of our work with OceanMind, endjin wrote a high performance .NET AIS parser. AIS (Automatic Identification System) is how commercial ships report location information. This blog describes the parser, and the performance techniques it uses.

Here is the first in a series of blog posts around understanding DAX and Power BI. This post focuses on filter contexts. which are a central concept which is vital for being able to write effective and powerful DAX!In this series Carmel walks through the main ideas and syntax surrounding the DAX language, and provides examples of using these over a dataset. DAX is an extremely powerful language. Using these techniques it is possible to build up complex reports which provide the insight you really need!

Explore Power BI data types across mediums, learn their corresponding names, and simplify query conversions with this informative blog and report.