The evolution of healthcare has come a long way since local physicians made house calls and homespun remedies were formulated using items from the kitchen spice rack. Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs.

In this blog post, you'll see how useful open_browser/2 is when debugging LiveView tests. In addition, we'll give a brief introduction to testing LiveView. Let's get started!

Visual regression testing is a type of regression testing to ensure that no changes to the program adversely affect the Graphical User Interface (GUI). It is also referred to as visual validation testing. Instead of focusing on the functionality of the software, it aims to validate the software’s aesthetic side. Visual regression testing verifies that all visual elements are displayed properly across all available browsers, devices, and platforms.

If you don't understand how an API works, you can't get the best out of it. That's one problem. The other is that they keep increasing in number, but the quality of the documentation for each of them doesn't. Lack of clear, quality documentation leads to more difficulty for developers, and with more difficulty comes less chance they integrate the API. Which could also be your API. That's where API exploration tools like SwaggerHub Explore come in handy to make this all way simpler.

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.

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.

Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.

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.

According to recent reports, the demand for automated software testing is continuously increasing. As a result, organizations are constantly seeking reliable and efficient test automation frameworks to save time and money. When many choices are available in the market, choosing the right one according to the testing needs would be the real challenge.

Over the span of a couple of decades, product design has transformed massively. Yet, until lately, it was thought of as a physical and materialistic design, necessitating an experienced individual to work with conventional tools to make something substantial. That era, however, is light years away from how it has evolved in our present-day digital age.