Systems | Development | Analytics | API | Testing

When it comes to analytics capability that caters to diverse data needs across the entire business, Yellowfin provides specific advantages compared to Tableau in several areas. Tableau users may find the platform can be complex, or lacking, in areas such as dashboard design, data governance, or flexibility. Thankfully, many have found Yellowfin to be a great alternative, and even complementary solution, to their analytic needs.

Ready for your monthly debrief? We've got Appium 2.0 on virtual devices, error and crash reporting on real devices, and much more exciting news to share.

It’s been a decade since “connected” objects—commonly referred to as “the internet of things” (IoT)— reached broad audiences. Connected toothbrushes, sensors embedded in sneakers, and smart watches have started to change consumer behavior through a data-driven, gamified approach. Technology has rapidly evolved to handle large data volumes at high velocities and big data analytics. AI has become more democratized.

An intuitive user interface is a hallmark of any decent business. But in order for the frontend of applications to work smoothly, you must also consider the backend. Backend development, also called server-side development, handles the behind-the-scenes functions of web development – things like interactions with databases, authorizing users and routing URLs.

Following is a transcription of the AMA session with Rahul Parwal on the topic – Bug Advocacy. Here Rahul brings forth the importance of bug advocacy, its step-by-step implementation, and tips on making this process easier. We recently launched a course on Bug Advocacy instructed by Rahul Parwal. You can check the course out from our courses section.

Load testing is a big category, and how do you even start preparing for it? This post covers it all from planning to implementation.

The main goal of performance testing is to measure the application's response time, throughput, resource utilization, and other relevant metrics under different loads and stress levels. It can be regarded as a kind of software testing that varies between different user loads. Performance testing can be used to identify and isolate performance bottlenecks, optimize system performance, and ensure that an application or system meets its performance requirements.

The best description of untrusted data I’ve ever heard is, “We all attend the QBR – Sales, Marketing, Finance – and present quarterly results, except the Sales reports and numbers don’t match Marketing numbers and neither match Finance reports. We argue about where the numbers came from, then after 45 minutes of digging for common ground, we chuck our shovels and abandon the call in disgust.” How would you go about fixing that situation?