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.

The omnipresence of software cannot be ignored. It is synonymous with today’s connected world. Our lives are heavily influenced by software. As a result of our industry’s rapid growth, we are creating code at a faster pace than ever before. One thing that often gets overlooked amidst all this exponential growth is the loss we are making because of poor quality & code.

It is 2023, and technology continues to advance at a rapid pace; the field of software testing is constantly evolving. From automation to artificial intelligence, the future of software testing looks very different from what it has been in the past. Software testing is critical for any development of high-quality, reliable software. However, testing has become increasingly challenging as software becomes more complex and user expectations rise.

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.

In the agile development methodology, the velocity of testing holds the key to delivering the best quality software within the stipulated budget and time constraints. As such, this drives the need to automate the testing process. Most software development teams visualize test automation as a discreet step in the delivery lifecycle instead of viewing it as a designed sequence of steps.