It’s a new world—again. Data today isn’t what it was five or ten years ago, because data volume is doubling every two years. So, how could ETL still be the same? In the early ‘90s, we started storing data in warehouses, and ETL was born out of a need to extract data from these warehouses, transform it as needed, and load it to the destination. This worked well enough for a time, and traditional ETL was able to cater to enterprise data needs efficiently.

While many API tools are available on the market—such as enterprise service buses (ESBs) like Apigee and MuleSoft, or low-code solutions like Hasura and CData—few offer the level of flexibility that DreamFactory does. A recent project underscored just how dynamic this lightweight, enterprise-ready API generation tool can be. In this article, we'll dive into this unique project and explore how DreamFactory proved to be much more than just an API generator.

Go, often referred to as Golang, is a popular programming language built by Google. Its design and structure help you write efficient, reliable, and high-performing programs. Often used for web servers and rest APIs, Go offers the same performance as other low-level languages like C++ while also making sure the language itself is easy to understand with a good development experience.

STARWEST 2024 was not just a conference; it was a vibrant hub of exploring knowledge and exploration into the transformative realm of generative AI and software testing. At this event, we started day 2 with an energetic workshop of "Evaluating and Testing Generative AI: Insights and Strategies", led by Jason Arbon, CEO of Checkie.AI, which covered the complex challenges of testing AI systems like ChatGPT and LLAMA.