Systems | Development | Analytics | API | Testing

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

Service virtualization, which gained prominence in 2012, has significantly transformed the way software testing and development are approached. Originally designed to address limited access to dependent systems during development, service virtualization has evolved into a critical technology for enabling efficient and continuous testing. This blog explores its origins, key advancements over the past decade, ongoing challenges, and how API simulation is shaping the future of testing.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

All but the simplest applications borrow code. You could write everything yourself from just core language features but who has time for that? Instead you take on dependencies, pieces of code written by others that usually give us 80% or more of what we need with 20% of the effort. Sometimes these dependencies are made to interact with a specific technology like a database, or perhaps it’s just a library providing some feature that would be onerous to write yourself.

A relatively new term in the world of data management, data mesh refers to the process of creating a single, unified view of all enterprise data. This process can happen in several ways, giving business users easy access to the data they require for decision-making. Several principles guide data mesh design and implementation. This article will discuss the principles of data mesh and how they can help your business get the most out of its data.

The evolution of APIs (application programming interfaces) has been all the hype in recent years. In many ways, they're powering the modern internet as they open doors to organizations and developers around the globe. Data shows that 98% of enterprise leaders believe APIs are essential for survival concerning digital transformation, yet most struggle to develop a comprehensive rollout strategy.

Tideways is joining the Open Source Pledge because we want to make a public commitment on our various open source contributions. Not only do we rely on open source software in our product Tideways, we are also building our business on top of the open source language PHP and its continued success. The mission of the recently started Open Source Pledge initiative is to establish a new social norm in the tech industry of companies paying Open Source maintainers.

Enterprise computing goes through constant cycles of reinvention, often driven by the arrival of an innovation with the potential to change everything. As a service business models and GenAI are both great examples. As anyone in this space can attest, the pace of change can age you quickly. But at the same time, it’s what makes the business so exciting. And dare I say, it’s what keeps everyone in it young. It’s a bit of a conundrum if you think about it.

Picture this: You are part of a BI team at a global garment manufacturer with dozens of factories, warehouses, and stores worldwide. Your team is tasked with extracting insights from company data. You begin the ETL (Extract, Transform, Load) process but find yourself struggling with the manual effort of understanding table structures and revisiting and modifying pipelines due to ongoing changes in data sources or business requirements.

The year is 1424. You’re shipping goods across the world, and the ship in question gives you a bill of lading. It’s a piece of paper containing details about what your goods are, where you’re shipping them from, and where they’re headed. Fast forward to 2024. You’re shipping your goods across the world, and the shipping company gives you a bill of lading. It’s still (most likely) a piece of paper.