Systems | Development | Analytics | API | Testing

API versioning is essential for managing changes without breaking your system. In microservices, where APIs are the backbone of communication, versioning ensures stability, backward compatibility, and smooth updates. Here’s a quick breakdown of what you need to know.

Welcome to the latest entry in Yellowfin Japan’s long-running ‘How to?’ blog series. This series of blogs aims to provide a step-by-step guide of how to get the most out of your Yellowfin BI experience, such as how to create your own Yellowfin dashboards. Catch up on the series below.

Engineering teams now move faster than ever. In 2025, they build smarter, ship quicker, and rely heavily on AI tools and continuous delivery pipelines.

In this second blog in a multi-part series, learn how SAP attempts to limit customer choice and discourages customers from accessing SAP data in third-party data platforms.

Autodesk, Envision Pharma, and Cemex use Fivetran and Snowflake for real-time analytics and faster decision-making.

Are you wondering where all your team’s time is being spent? Is it all spent on managing software that promises agility for finance teams? In today’s fast-paced and ever-changing business landscape, it is imperative for organizations to be agile. Being able to embrace change and respond quickly has become a key factor in the success of any business.

When the testing volume increases without effective control, maintenance is more time-consuming, feedback is slower, and risks are bigger, especially in environments where continuous integration and release cycles are accelerated. In this article, you’ll explore smart automation strategies that can help you reduce test duplication and improve QA team efficiency.

Ever wondered if your fitness app actually knows you, or just logs your steps? Is it really smart enough, as smart as you think it is? Is it helping you train smarter, recover better, or just ticking off numbers on a screen? AI-powered fitness apps are quickly moving beyond basic tracking. They’re becoming intelligent companions, even those that understand your body, goals, and limits.

To be honest, most Python developers are not using list comprehensions. Even I, who is writing this blog, never used list comprehensions before. But when I saw some examples, I felt I had to try and use them in my Python code. The reason for this change of mind is that there are a few advantages we get if we implement list comprehensions. Let’s see what these are in this blog today.

Agentic coding tools like Cursor, GitHub Copilot, and OpenAI’s Codex are reshaping how software is developed. They enable developers to offload routine tasks and accelerate feature delivery. However, these tools also introduce new challenges – particularly in how we test and validate the code they produce.