The world of Dynamics 365 is constantly changing, and staying on top of those changes is crucial for any organization that uses it. The arrival of April 2024 brings with it a significant update, including the much-anticipated one-version rule. This has sent a wave through the Dynamics 365 community, with businesses scrambling to update and ensure compliance. While the one-version rule is a major change, some stakeholders may not yet fully grasp the impact it will have.

Data mining, also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we created a pie chart that aggregates on the basis of category. By using set analysis, we were able to represent the percentage of Books Only in the numeric display, based on the composition of the items ordered.

This blog post is designed as a guide to illuminate the critical importance of software testing plans—a cornerstone in ensuring the delivery of reliable and high-quality software products as we described in a previous post when we described the process of creating a complete Test Plan. For QA professionals and testers, as well as for those developers that are getting initiated on a journey into the world of testing, this post serves as a reaffirmation of our principles.

Background jobs are essential to many Ruby on Rails apps. Since the introduction of ActiveJob, Rails developers have been able to manage their background jobs as natively as they do their database records. Still, ActiveJob requires you to select (and support) a backend adapter that will implement ActiveJob's backend. Many use Redis, a memory cache, to queue and process background jobs. Redis comes with incredible speed but is yet another dependency to maintain.

The success of data warehouse solutions depends on how well organizations implement test cases to guarantee data integrity. As organizations evolve, data warehouse testing becomes crucial to adhere to industry best practices.

"The whole is more than the sum of its parts." Aristotle is credited with this quote, and it's true in the world of data. Legacy systems typically approached their role in a limited manner. Each system was intended to be used by a certain user set and handle well-defined processes and associated data. The result was a disintegrated environment with data being difficult to obtain, and frequently out of date. The parts couldn't easily cooperate to make a whole.

Geopolitical Instability Raises Threat of ‘Catastrophic Cyberattack in Next Two Years’- Global Cybersecurity Outlook 2023 – World Economic Forum As the world’s attention remains fixated on the unfolding events in Taiwan, Ukraine & Iran, it’s crucial to recognize that the theater of battle extends far beyond physical borders into the shadowy area of cybersecurity.

When you’re ready to make the transition from manual testing to test automation, it’s natural to consider hiring. A QA engineer — who has the technical skills to write and maintain automated tests in an open-source framework — can take the burden of end-to-end test management off of your development team, allowing them to ship more code, faster. But hiring a good QA engineer is — often prohibitively — expensive.

At some point, anyone who has enjoyed using a computer has wondered if they could build their own app. But software development becomes intimidating fast if you’re not a programmer. Fortunately, there is a wide range of no-code platforms available today. Even in the enterprise, there’s demand for no-code development. As APIs have become one of the most important components of the modern application ecosystem, several no-code API solutions are now available.