Systems | Development | Analytics | API | Testing

Regression testing—when done well—gives software teams the confidence that their entire application works properly after a code change. But doing regression testing manually is time-consuming, costly, and difficult to scale. As their applications grow in complexity, many teams end up having to throw more and more resources into regression testing—hiring more QA specialists and waiting longer for them to complete testing with each release cycle.

QA testing tools include everything from performance testing tools to workflow management tools. If you’re just getting started with software quality assurance, it can be difficult to know what tools you need (and how to tell them apart). Functional testing is the foundation of most software quality assurance efforts. That’s why we think the right automated functional testing tool is the most important part of your QA toolbox.

Rails' date and time helpers are great. They save us from duplicating simple add-duration-to-time logic across our applications and make the code more readable. However, complex date manipulations are dangerous places full of edge-cases. This article discusses some of them. 😅

In this article, we are going to learn how to create a custom Content Blocker for our WebView instances using the flutter_inappwebview plugin. Content Blockers are usually used for blocking ads, but you can also use them to block any other content. Blocking behaviors include hiding elements, blocking loads, and, on iOS and macOS, stripping cookies from WebView requests.

A hands-on guide to learning how to run your mobile automated UI tests with Sauce Labs and Bitrise.

In general, the concepts of data literacy and creating successful data pipelines seem totally disconnected. Data literacy involves insuring that data consumers have the knowledge and capabilities to understand and interact with data in a way that will provide them with the answers and value they need to do their jobs and benefit their organizations. While data pipelines require technical expertise to move, connect, and store data across the company's data ecosystem.

Happy New Year from the Yellowfin team, and welcome to our 2023 wrap-up! Following a year full of product feature updates, company changes and new initiatives, this blog provides a helpful summary for all our customers and followers on our future 2023 product roadmap for the Yellowfin embedded analytics suite, and a look back at last year’s biggest news.

In the data landscape, the people are represented by two separate yet equally important groups. The data engineers who design the Lego blocks and the data scientists who build something extraordinary out of them. These are their stories. DUN DUN! And we’re back! Last time, we went over the toolkit needed to get your foot in the door as a data engineer. You’ve gotten over the first hurdle, but I hope you haven’t fallen prey to the Dunning-Kruger Effect.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

Successful usability testing takes time and expertise to plan and execute. Moderated usability testing involves a process of user research, participant recruitment, testing user flows, and analyzing data. The end results will uncover prioritized problem areas that, when addressed, will provide new ways to satisfy and retain your users. Different UX methods are dynamically used depending on the team’s goals, product, and audience.