Future-proofing your analytics tech stack is essential for ensuring the longevity and success of your software applications. As the final stage of the data journey, analytics transforms raw data into actionable insights that directly impact business decisions and customer satisfaction. To effectively fulfill this role, analytics systems must possess a high degree of flexibility and scalability, seamlessly integrating with diverse applications and data sources.

“May Katalon be with you whenever you run your tests.” So you’ve heard of Katalon and decided to give it a try. We’re here to help you get the best experience possible out of it. In a way, Katalon serves as your entire software testing life cycle unified in one workspace. You get to do test planning, scripting (from no-code, low-code, to full-code mode), test management, test execution, and finally test reporting.

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.

Reddit is a news aggregation, communication, and discussion application. If you want to get more information about a particular topic or have a question, Reddit is the place to be. The data on Reddit are provided to the public through both the website and its API. Learning how to use the Reddit API is beneficial if you want to integrate Reddit communications into your application or if you just want to use certain data on Reddit.

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.

Prepare for software releases ahead of Black Friday, Cyber Monday, and beyond.