Blog

Ralph Kimble's 1996 Star Schema principles still apply in Cloud Native Analytics.

Investigate some ways of working with strings that prevent unnecessary memory allocations.

Investigate the impact of basic LINQ functions on performance and memory allocation.

Explore basic techniques for benchmarking and identifying allocation sources in code.

Explore techniques to boost .NET performance & memory efficiency, identify allocation sources, and optimize data handling.

Eli joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post she reflects on her first two years.

After a year of working on implementing the OpenChain specification, this blog takes you through the processes we created to track and manage our open-source licenses

As Charlotte's placement comes to an end, she reflects on her year at endjin, highlighting her experiences to take back to University with her

In this post I describe how adopting a product mindset will help you to extract maximum value from Microsoft Fabric.

Explore building situational awareness and leveraging strategic opportunities with Microsoft Fabric in this concise overview.

When we benchmarked endjin's AIS.NET library on .NET 7.0, we were delighted to see substantial performance gains, with no extra work required.

This blog post explores interactive notebooks in Azure Databricks. An Azure Databricks Notebook is a powerful data science tool that support exploratory data analysis, hypothesis testing, data cleaning and transformation, data visualisation, statistical modeling and machine learning.

Explore Microsoft Fabric, inspired by Data Mesh, for a data-driven strategy. Learn to approach a Data Mesh vision using this powerful tool.

Explore Data Mesh's influence on Microsoft Fabric, addressing gaps in data product marketplace, standards, master data management, and governance.

Creating a successful organisation-wide data and analytics platform isn't just about architecture, schemas and semantic models. It's also about culture, organisational design and people. This blog explores the socio-technical nature of data and analytics and how this should influence your approach to adoption of Microsoft Fabric.

Explore the iterator design pattern in C#, its importance in programming, and learn how to implement it.

Explore the benefits of Architecture Decision Records (ADRs) in technical design, with real-world examples applied to different scenarios.

Explore AI-powered self-service reporting with tools like Copilot in Power BI and Microsoft Fabric, balancing benefits and pitfalls.

Do you struggle to manage conflicting demands from multiple stakeholders, even when they have agreed about the relative priority of their requests? Apply a budgeting methodology to agile projects for better planning and communication with the team and wider stakeholders.

Microsoft Fabric unifies Power BI, Data Factory & Data Lake on Synapse infrastructure, reducing cost & time while enabling citizen data science.

Explore OneLake, Microsoft Fabric's core storage for data in Azure & other clouds. Discover its role in Fabric workloads, the OneDrive equivalent for data storage.

In this Microsoft Fabric vs Synapse comparison we examine how features map from Azure Synapse to Fabric.

Microsoft Fabric unifies data & analytics, building on Azure Synapse Analytics for improved data-level interoperability. Explore its offerings & pros/cons.

For the first time since 2020, a new release of Rx.NET is available, supporting .NET 6 and .NET 7.

Discover the use of Synapse Notebooks in Azure Synapse Analytics for data analysis, cleaning, visualization, and machine learning.