Collecting user feedback in JavaScript
Show a responsive, highly-customizable feedback form when a user encounters an error—and let them describe the issue in their own words!
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
5 engineering tools every analytics and data engineer needs to know
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.
Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?
The open source ML tooling ecosystem has become vast in the last few years, with many tools both overlapping in their capabilities as well as complimenting each other nicely. In part because AI/ML is a still-immature practice, the messaging around what all these tools can accomplish can be quite vague. In this article, we’ll dive into three tools to better understand their capabilities, and how they fit into the ML lifecycle.
Setting up Google BigQuery as a data warehouse in minutes
In this tutorial, learn how to set up a new Google BigQuery cloud-based data warehouse account and extract data from all your data sources using Stitch in less than 3 minutes. Stitch partners with the most common data warehouses and data lakes to help move your data from sources like Shopify, MongoDB, LinkedIn Ads, Zapier, Hubspot, SendGrid, Google Analytics, and more. Google Analytics. Watch this step-by-step tutorial on how to set up Google BigQuery for data storage.
Debugging Phoenix LiveView with open_browser/2
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!
No Average Patient - Leveraging Data for Precision Healthcare
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.
Process Automation Tools: 4 Questions to Ask
Process automation tools automate manual and repetitive tasks inside a business process. But what distinguishes process automation tools, which may also be called business process automation (BPA) tools or hyperautomation tools, from other automation solutions is that they automate an entire business process, end to end. Some process automation examples can be found in banking customer onboarding processes and automated insurance underwriting.
Hyperautomation vs. Automation: The Difference, Explained
Automation has been a linchpin for businesses for decades. Automation tools pave the way for greater efficiency, enhanced productivity, improved customer experience, and many other benefits. Yet, in some cases, businesses have only seen small gains from their automation efforts. When this happens, it could be because organizations were focused only on automation rather than the wider concept of hyperautomation.
Model-based and record & playback automation techniques: The ultimate guide
Model-based test automation and record and playback — have you heard these buzz phrases before in the world of software testing? They’re two similar approaches to testing, yet they’re vastly different in their execution. But what exactly is the difference between these two techniques and why does it matter?
7+ Best Visual Regression Testing Tools For Testers
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.