It’s no secret that Data Scientists have a difficult job. It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. Heck, it was so long ago that people were still meeting in person! Today, the sexy is starting to lose its shine. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012.
As we get closer to the end of 2021, looking back the data and analytics technologies have evolved significantly over the last few years. We have seen the introduction of augmented analytics capabilities embracing user self-service and multimodal delivery of analytics insights. In addition, we have seen new data integration and catalog capabilities in response to the demands of new regulations and governance needs.
I’m proud to share that WSO2 has been recognized in two new Gartner reports for full life cycle API management. We are sincerely grateful to our many satisfied customers for providing their feedback on how WSO2 has been instrumental in driving their digital transformation initiatives. We appreciate the time they took out of their busy schedules to help us out. Now, on to the details.
Testing is the backbone of the Agile software development methodology. The efficiency of the testing process directly impacts the quality of the deliverables and the goodwill of the organization. Buggy software can lead to poor user experience, delayed project timelines, diminished brand value, and revenue losses. A strong testing process consists of several well-planned activities with definite timelines and a set of clear expected outcomes.
Free open-source frameworks, libraries, and tools are the go-to solutions for automation testing. The main difference between these is knowing your preference between creating your building a brand new test automation framework using libraries, or working on a made-ready tool where testing is all you will have to care about. This article gives you a quick glance at the Top 10 Free and Open Source Testing Tools, Tools, Framework & Libraries.
Welcome back to this final part of our four-part series on metaprogramming in Elixir. Previously, we explored the various applications of macros. In this part, we’ll delve into common pitfalls that you might encounter when metaprogramming in Elixir.
As a small business or a startup, we often make decisions that can change the whole structure of our working processes. Honestly, this is not a bane that can bring the businesses down. Such businesses thrive on these decisions as they let them clearly decide what suits them best and why. What’s better than finding it on their own by trying a mix of things? As for this post, it is a bit different from startups and small businesses.